India Manufacturers Build Factory Digital Twins With NVIDIA AI and Omniverse

India Manufacturers Build Factory Digital Twins With NVIDIA AI and Omniverse

Manufacturers and service providers in India are adopting NVIDIA Omniverse to tap into simulation, digital twins and generative AI to accelerate their factory planning and drive automation for more efficient operations.

India’s exports have surged in recent years as the nation positions itself to be the next global industrial manufacturing powerhouse. Automotive, industrial machinery, electronics, textiles, chemicals and pharmaceuticals are among the sectors expected to help drive India’s exports to $1 trillion by 2028, according to Bain & Company.

As India’s manufacturing industry continues to soar, manufacturers are embracing AI for digitization of processes and robotics to scale their operations and meet growing global demands.

This wave of manufacturing automation, harnessing Omniverse to build virtual warehouses and production facilities to enable the next era of industrial and physical AI, was on full display this week at the NVIDIA AI Summit India, taking place in Mumbai through Oct. 25, from major industrial names like Ola Electric, Reliance Industries, Tech Mahindra, and TCS.

Ola Accelerates Electric Scooter Production With Omniverse

Ola Electric, the largest electric scooter maker in India, announced it has developed the Ola Digital Twin platform on NVIDIA Omniverse. The company said that the ODT platform has helped it achieve 20% faster time to market from design to commissioning for its manufacturing operations

Built on NVIDIA Isaac Sim, the Ola Digital Twin platform taps into core Omniverse technologies like OpenUSD for data interoperability, RTX for physically-based rendering, and generative AI for accelerated world building to generate synthetic data or training autonomous mobile robots and robotic arms.

Ola is using the digital twin platform to plan and build its next-generation Future Factory — India’s largest integrated and automated electric two-wheeler manufacturing plant — in only eight months. The platform helped provide insights for factory and construction planning, as well as for quality inspection systems, manufacturing processes and safety training. The company is also using the digital twin to compare real and simulated environments, assisting with predictive maintenance.

Reliance Industries Adopts Omniverse for Solar Panel Factory Planning

Reliance Industries, a leading industrial conglomerate in India with businesses in energy, petrochemicals, natural gas, retail, entertainment, telecommunications, mass media and textiles, is embracing Omniverse for planning its new solar panel factory in Jamnagar, India.

Supporting the company’s goal of reaching net-zero carbon status by 2035, the 5,000-acre integrated photovoltaic manufacturing plant is meant to be India’s largest solar gigafactory.

Reliance is using Omniverse to develop applications for managing 3D data, virtual collaboration, simulation and optimized operations, as well as data integration for planning, design, automation, operation, sustainability and training of their workforce for soon to be commissioned Giga factories in Jamnagar, India.

The company is also using Omniverse to develop OpenUSD-based, SimReady virtual factory assets, including the factory building, manufacturing equipment, robots, kinematics, and material and product models, and it’s running simulations for logistics and human workers.

Leading System Integrators Help India Manufacturers Embrace Industrial AI

System integrators play a crucial role in helping India’s largest manufacturers use NVIDIA technology to build the country’s next generation of manufacturing plants.

Consulting leaders such as Tata Consultancy Services (TCS) and Tech Mahindra are developing industrial AI applications and services on Omniverse to help manufacturers develop digital twins for accelerated factory planning, optimized processes, robotics training and large-scale automation.

TCS announced it’s working on a suite of digital twin solutions built on NVIDIA Omniverse that enable manufacturers to design, simulate, operate and optimize their products and production facilities across multiple sectors.

Use cases cover nearly every aspect of heavy manufacturing — from building virtual factories for real-time factory planning and monitoring, to creating digital twins of aircraft components for immersive training and predictive maintenance.

TCS also uses Omniverse to simulate autonomous vehicles, enabling automotive companies to simulate and validate complex driving scenarios without the need for physical testing. Meanwhile, its smart farming digital twin integrates real-world physics to simulate farming scenarios that help improve equipment performance.

In addition, TCS launched its TCS Manufacturing AI for Industrials, a generative AI solution built on the NVIDIA AI Enterprise platform, which includes NVIDIA NeMo for building and managing the AI application lifecycle, to turn general-purpose large language models (LLMs) into manufacturing expert AI agents capable of providing real-time, industry-specific insights across clients’ various production facilities. These agentic AIs can be connected to virtual factories, developed on Omniverse, to augment facility planning, design, and operations.

Tech Mahindra, a global leader in technology consulting, announced it is establishing a center of excellence enabled by NVIDIA AI Enterprise and Omniverse. It is targeted at helping drive advances in sovereign LLM frameworks, agentic AI and physical AI.

Tech Mahindra’s Center for Excellence uses NVIDIA Omniverse to develop connected industrial AI digital twins and physical AI applications for clients across sectors, including manufacturing, automotive, telecommunications, healthcare, banking, financial services and insurance.

Other leading system integrators such as Wipro and Infosys are also building solutions using the NVIDIA AI stack and expanding into physical AI with Omniverse.

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Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Life sciences and healthcare organizations across India are using generative AI to build applications that can deliver life-saving impacts — within the country and across the globe.

Among such leading organizations are research centers at the Indian Institute of Technology Madras (IIT Madras) and the Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), intelligent life sciences company Innoplexus and AI-led medical diagnostics platform provider 5C Network.

Central to their work are NVIDIA NIM microservices, including the new Nemotron-4-Mini-Hindi 4B microservice for building sovereign AI applications and large language models (LLMs) in the Hindi language.

The Nemotron-4 Hindi model delivers the highest accuracy across benchmarks in 2 billion to 8 billion model-size categories for Hindi.

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028, the new AI model has the potential to dramatically improve healthcare accessibility and efficiency.

To gear up for such growing demands — and to help more patients faster — the Indian government is significantly investing in building foundational AI models designed and developed within the country, including for healthcare, through initiatives like the IndiaAI Mission.

Members of the Indian healthcare ecosystem are leading the charge by advancing neuroscience research, combating antibiotic resistance, accelerating drug discovery, automating diagnostic scan analysis and more — all with AI’s help.

IIT Madras Advances Neuroscience Research With AI 

The IIT Madras Brain Centre is advancing neuroscience research by imaging whole human brains at a cellular level across various ages and brain diseases, and using AI to analyze these vast petabyte-sized primary datasets. The work is opening new avenues for understanding brain structure and function, as well as how they change in disease conditions, accelerating research that could lead to life-saving discoveries.

To make information about the brain more accessible to STEM students and researchers, the center is developing an AI chatbot — using the Nemotron-4 Hindi NIM microservice — that can answer neuroscience-related questions in Hindi.

This builds upon the center’s existing NVIDIA AI-powered knowledge-exploration framework, called Neuro Voyager. Developed using visual question-answering models and LLMs, Neuro Voyager lets researchers submit queries related to brain images and provides highly accurate answers using multimodal information retrieval.

IIT Madras developed Neuro Voyager using both real-world data from research publications and synthetic data.

Using NVIDIA NeMo Retriever, a collection of NIM microservices for information retrieval, the team achieved a 30% increase in accuracy through fine-tuning of the embedding model and further refinement of the framework.

For the tool’s answer-generation portion, the researchers tapped the Llama 3.1 70B NVIDIA NIM microservice, running on NVIDIA DGX systems, which accelerated LLM inference 4x compared with the native model.

IIIT-Delhi-Led Consortium Fights Antimicrobial Resistance Using Generative AI, NVIDIA DGX

A research group at IIIT-Delhi is using the Nemotron-4 Hindi model to collect antibiotic prescription patterns in local languages, including Hindi.

Antimicrobial resistance — among the world’s greatest threats to global health — occurs when bacteria, viruses, fungi and parasites change over time, no longer responding to treatment and increasing the risk of disease spread, severe illness and death.

IIIT-Delhi researchers predict that AI-guided antimicrobial stewardship will be a key component of preventing the tens of millions of deaths that could be caused by antimicrobial resistance between 2025 and 2050.

The researchers’ AI-powered data integration and predictive analytics tool, AMRSense, improves accuracy and speeds time to insights on antimicrobial resistance. Powered by NVIDIA NeMo platform-based natural language processing, AMRSense is designed to be used in hospital and community settings.

This collaborative solution between IIIT-Delhi and a consortium of other research institutions placed second out of over 300 entries in the Trinity Challenge, a competition that calls for data-driven solutions to help tackle global health threats.

IIIT-Delhi is also using NVIDIA DGX systems to build foundation models that can further hone its workflows.

5C Network Uses NVIDIA NIM, MONAI for AI-Powered Medical Imaging

Bengaluru- and Coimbatore-based 5C Network’s Bionic suite of medical imaging tools, based on computer vision and LLMs, is helping transform radiology reporting by reading, detecting and analyzing medical scans and generating comprehensive medical notes that provide actionable insights to support clinicians in decision-making.

Used across India’s largest hospital groups and several marquee hospitals, Bionic detects pathologies in scans, such as lung lesions in X-rays or brain masses in MRIs. It then provides detailed measurements of abnormalities, such as the size, volume or density of lesions to assess disease severity and treatment planning. Finally, Bionic compiles the data into clear, actionable reports with suggested next steps, such as further testing or specialist referrals.

Bionic was developed using the open-source MONAI framework, the NVIDIA TensorRT ecosystem of application programming interfaces for high-performance deep learning inference, and the NVIDIA NeMo platform for custom generative AI.

Using the Nemotron-4 Hindi NIM microservice, 5C Network is now enhancing its client app, which allows patients to ask questions about radiology reports and receive quick, accurate responses in simplified Hindi.


Innoplexus Analyzes Protein Interactions With NVIDIA NIM

Innoplexus, a member of the NVIDIA Inception program for cutting-edge startups, has built an AI-powered life sciences platform for drug discovery powered by NVIDIA NIM, including the AlphaFold2 NIM microservice.

Protein-protein interaction (PPI) is critical to pathogenic and physiologic mechanisms that trigger the onset and progression of diseases. This means understanding PPI can help facilitate effective diagnostic and therapeutic strategies.

Innoplexus performs large-scale PPI predictions up to 500x faster than traditional methods. The company’s platform can analyze 200 million protein interactions in just seconds, tapping into NVIDIA H100 Tensor Core GPU acceleration.

Using NVIDIA NIM microservices, Innoplexus generates synthetic patient data to boost its AI models and performs virtual screenings of 5.8 million small molecules in less than eight hours — 10x faster than without NIM.

Plus, the microservices help Innoplexus identify the most effective, safest drugs within a given set of therapeutic agents with 90% accuracy.​

Using the new Nemotron-4 Hindi model, Innoplexus is developing a tool that will let users easily access and understand information about Ayurveda, a system of traditional medicine native to India, based on Hindi content from key repositories.

Another Innoplexus LLM application, built with the new Hindi model, explains details about user prescriptions and medical reports — based on photos of them — in easy-to-understand terms.

NVIDIA NIM microservices are available as part of the NVIDIA AI Enterprise software platform. Developers can get started with them for free at ai.nvidia.com.

In addition, global system integrators including Infosys, Tata Consultancy Services (TCS), Tech Mahindra and Wipro are collaborating with NVIDIA to help life sciences and healthcare companies accelerate their generative AI adoption.

Learn more about the latest in generative AI and accelerated computing at the NVIDIA AI Summit in India, and subscribe to NVIDIA healthcare news.

Read More

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Life sciences and healthcare organizations across India are using generative AI to build applications that can deliver life-saving impacts — within the country and across the globe.

Among such leading organizations are research centers at the Indian Institute of Technology Madras (IIT Madras) and the Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), intelligent life sciences company Innoplexus and AI-led medical diagnostics platform provider 5C Network.

Central to their work are NVIDIA NIM microservices, including the new Nemotron-4-Mini-Hindi 4B microservice for building sovereign AI applications and large language models (LLMs) in the Hindi language.

The Nemotron-4 Hindi model delivers the highest accuracy across benchmarks in 2 billion to 8 billion model-size categories for Hindi.

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028, the new AI model has the potential to dramatically improve healthcare accessibility and efficiency.

To gear up for such growing demands — and to help more patients faster — the Indian government is significantly investing in building foundational AI models designed and developed within the country, including for healthcare, through initiatives like the IndiaAI Mission.

Members of the Indian healthcare ecosystem are leading the charge by advancing neuroscience research, combating antibiotic resistance, accelerating drug discovery, automating diagnostic scan analysis and more — all with AI’s help.

IIT Madras Advances Neuroscience Research With AI 

The IIT Madras Brain Centre is advancing neuroscience research by imaging whole human brains at a cellular level across various ages and brain diseases, and using AI to analyze these vast petabyte-sized primary datasets. The work is opening new avenues for understanding brain structure and function, as well as how they change in disease conditions, accelerating research that could lead to life-saving discoveries.

To make information about the brain more accessible to STEM students and researchers, the center is developing an AI chatbot — using the Nemotron-4 Hindi NIM microservice — that can answer neuroscience-related questions in Hindi.

This builds upon the center’s existing NVIDIA AI-powered knowledge-exploration framework, called Neuro Voyager. Developed using visual question-answering models and LLMs, Neuro Voyager lets researchers submit queries related to brain images and provides highly accurate answers using multimodal information retrieval.

IIT Madras developed Neuro Voyager using both real-world data from research publications and synthetic data.

Using NVIDIA NeMo Retriever, a collection of NIM microservices for information retrieval, the team achieved a 30% increase in accuracy through fine-tuning of the embedding model and further refinement of the framework.

For the tool’s answer-generation portion, the researchers tapped the Llama 3.1 70B NVIDIA NIM microservice, running on NVIDIA DGX systems, which accelerated LLM inference 4x compared with the native model.

IIIT-Delhi-Led Consortium Fights Antimicrobial Resistance Using Generative AI, NVIDIA DGX

A research group at IIIT-Delhi is using the Nemotron-4 Hindi model to collect antibiotic prescription patterns in local languages, including Hindi.

Antimicrobial resistance — among the world’s greatest threats to global health — occurs when bacteria, viruses, fungi and parasites change over time, no longer responding to treatment and increasing the risk of disease spread, severe illness and death.

IIIT-Delhi researchers predict that AI-guided antimicrobial stewardship will be a key component of preventing the tens of millions of deaths that could be caused by antimicrobial resistance between 2025 and 2050.

The researchers’ AI-powered data integration and predictive analytics tool, AMRSense, improves accuracy and speeds time to insights on antimicrobial resistance. Powered by NVIDIA NeMo platform-based natural language processing, AMRSense is designed to be used in hospital and community settings.

This collaborative solution between IIIT-Delhi and a consortium of other research institutions placed second out of over 300 entries in the Trinity Challenge, a competition that calls for data-driven solutions to help tackle global health threats.

IIIT-Delhi is also using NVIDIA DGX systems to build foundation models that can further hone its workflows.

5C Network Uses NVIDIA NIM, MONAI for AI-Powered Medical Imaging

Bengaluru- and Coimbatore-based 5C Network’s Bionic suite of medical imaging tools, based on computer vision and LLMs, is helping transform radiology reporting by reading, detecting and analyzing medical scans and generating comprehensive medical notes that provide actionable insights to support clinicians in decision-making.

Used across India’s largest hospital groups and several marquee hospitals, Bionic detects pathologies in scans, such as lung lesions in X-rays or brain masses in MRIs. It then provides detailed measurements of abnormalities, such as the size, volume or density of lesions to assess disease severity and treatment planning. Finally, Bionic compiles the data into clear, actionable reports with suggested next steps, such as further testing or specialist referrals.

Bionic was developed using the open-source MONAI framework, the NVIDIA TensorRT ecosystem of application programming interfaces for high-performance deep learning inference, and the NVIDIA NeMo platform for custom generative AI.

Using the Nemotron-4 Hindi NIM microservice, 5C Network is now enhancing its client app, which allows patients to ask questions about radiology reports and receive quick, accurate responses in simplified Hindi.


Innoplexus Analyzes Protein Interactions With NVIDIA NIM

Innoplexus, a member of the NVIDIA Inception program for cutting-edge startups, has built an AI-powered life sciences platform for drug discovery powered by NVIDIA NIM, including the AlphaFold2 NIM microservice.

Protein-protein interaction (PPI) is critical to pathogenic and physiologic mechanisms that trigger the onset and progression of diseases. This means understanding PPI can help facilitate effective diagnostic and therapeutic strategies.

Innoplexus performs large-scale PPI predictions up to 500x faster than traditional methods. The company’s platform can analyze 200 million protein interactions in just seconds, tapping into NVIDIA H100 Tensor Core GPU acceleration.

Using NVIDIA NIM microservices, Innoplexus generates synthetic patient data to boost its AI models and performs virtual screenings of 5.8 million small molecules in less than eight hours — 10x faster than without NIM.

Plus, the microservices help Innoplexus identify the most effective, safest drugs within a given set of therapeutic agents with 90% accuracy.​

Using the new Nemotron-4 Hindi model, Innoplexus is developing a tool that will let users easily access and understand information about Ayurveda, a system of traditional medicine native to India, based on Hindi content from key repositories.

Another Innoplexus LLM application, built with the new Hindi model, explains details about user prescriptions and medical reports — based on photos of them — in easy-to-understand terms.

NVIDIA NIM microservices are available as part of the NVIDIA AI Enterprise software platform. Developers can get started with them for free at ai.nvidia.com.

In addition, global system integrators including Infosys, Tata Consultancy Services (TCS), Tech Mahindra and Wipro are collaborating with NVIDIA to help life sciences and healthcare companies accelerate their generative AI adoption.

Learn more about the latest in generative AI and accelerated computing at the NVIDIA AI Summit in India, and subscribe to NVIDIA healthcare news.

Read More

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Life sciences and healthcare organizations across India are using generative AI to build applications that can deliver life-saving impacts — within the country and across the globe.

Among such leading organizations are research centers at the Indian Institute of Technology Madras (IIT Madras) and the Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), intelligent life sciences company Innoplexus and AI-led medical diagnostics platform provider 5C Network.

Central to their work are NVIDIA NIM microservices, including the new Nemotron-4-Mini-Hindi 4B microservice for building sovereign AI applications and large language models (LLMs) in the Hindi language.

The Nemotron-4 Hindi model delivers the highest accuracy across benchmarks in 2 billion to 8 billion model-size categories for Hindi.

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028, the new AI model has the potential to dramatically improve healthcare accessibility and efficiency.

To gear up for such growing demands — and to help more patients faster — the Indian government is significantly investing in building foundational AI models designed and developed within the country, including for healthcare, through initiatives like the IndiaAI Mission.

Members of the Indian healthcare ecosystem are leading the charge by advancing neuroscience research, combating antibiotic resistance, accelerating drug discovery, automating diagnostic scan analysis and more — all with AI’s help.

IIT Madras Advances Neuroscience Research With AI 

The IIT Madras Brain Centre is advancing neuroscience research by imaging whole human brains at a cellular level across various ages and brain diseases, and using AI to analyze these vast petabyte-sized primary datasets. The work is opening new avenues for understanding brain structure and function, as well as how they change in disease conditions, accelerating research that could lead to life-saving discoveries.

To make information about the brain more accessible to STEM students and researchers, the center is developing an AI chatbot — using the Nemotron-4 Hindi NIM microservice — that can answer neuroscience-related questions in Hindi.

This builds upon the center’s existing NVIDIA AI-powered knowledge-exploration framework, called Neuro Voyager. Developed using visual question-answering models and LLMs, Neuro Voyager lets researchers submit queries related to brain images and provides highly accurate answers using multimodal information retrieval.

IIT Madras developed Neuro Voyager using both real-world data from research publications and synthetic data.

Using NVIDIA NeMo Retriever, a collection of NIM microservices for information retrieval, the team achieved a 30% increase in accuracy through fine-tuning of the embedding model and further refinement of the framework.

For the tool’s answer-generation portion, the researchers tapped the Llama 3.1 70B NVIDIA NIM microservice, running on NVIDIA DGX systems, which accelerated LLM inference 4x compared with the native model.

IIIT-Delhi-Led Consortium Fights Antimicrobial Resistance Using Generative AI, NVIDIA DGX

A research group at IIIT-Delhi is using the Nemotron-4 Hindi model to collect antibiotic prescription patterns in local languages, including Hindi.

Antimicrobial resistance — among the world’s greatest threats to global health — occurs when bacteria, viruses, fungi and parasites change over time, no longer responding to treatment and increasing the risk of disease spread, severe illness and death.

IIIT-Delhi researchers predict that AI-guided antimicrobial stewardship will be a key component of preventing the tens of millions of deaths that could be caused by antimicrobial resistance between 2025 and 2050.

The researchers’ AI-powered data integration and predictive analytics tool, AMRSense, improves accuracy and speeds time to insights on antimicrobial resistance. Powered by NVIDIA NeMo platform-based natural language processing, AMRSense is designed to be used in hospital and community settings.

This collaborative solution between IIIT-Delhi and a consortium of other research institutions placed second out of over 300 entries in the Trinity Challenge, a competition that calls for data-driven solutions to help tackle global health threats.

IIIT-Delhi is also using NVIDIA DGX systems to build foundation models that can further hone its workflows.

5C Network Uses NVIDIA NIM, MONAI for AI-Powered Medical Imaging

Bengaluru- and Coimbatore-based 5C Network’s Bionic suite of medical imaging tools, based on computer vision and LLMs, is helping transform radiology reporting by reading, detecting and analyzing medical scans and generating comprehensive medical notes that provide actionable insights to support clinicians in decision-making.

Used across India’s largest hospital groups and several marquee hospitals, Bionic detects pathologies in scans, such as lung lesions in X-rays or brain masses in MRIs. It then provides detailed measurements of abnormalities, such as the size, volume or density of lesions to assess disease severity and treatment planning. Finally, Bionic compiles the data into clear, actionable reports with suggested next steps, such as further testing or specialist referrals.

Bionic was developed using the open-source MONAI framework, the NVIDIA TensorRT ecosystem of application programming interfaces for high-performance deep learning inference, and the NVIDIA NeMo platform for custom generative AI.

Using the Nemotron-4 Hindi NIM microservice, 5C Network is now enhancing its client app, which allows patients to ask questions about radiology reports and receive quick, accurate responses in simplified Hindi.


Innoplexus Analyzes Protein Interactions With NVIDIA NIM

Innoplexus, a member of the NVIDIA Inception program for cutting-edge startups, has built an AI-powered life sciences platform for drug discovery powered by NVIDIA NIM, including the AlphaFold2 NIM microservice.

Protein-protein interaction (PPI) is critical to pathogenic and physiologic mechanisms that trigger the onset and progression of diseases. This means understanding PPI can help facilitate effective diagnostic and therapeutic strategies.

Innoplexus performs large-scale PPI predictions up to 500x faster than traditional methods. The company’s platform can analyze 200 million protein interactions in just seconds, tapping into NVIDIA H100 Tensor Core GPU acceleration.

Using NVIDIA NIM microservices, Innoplexus generates synthetic patient data to boost its AI models and performs virtual screenings of 5.8 million small molecules in less than eight hours — 10x faster than without NIM.

Plus, the microservices help Innoplexus identify the most effective, safest drugs within a given set of therapeutic agents with 90% accuracy.​

Using the new Nemotron-4 Hindi model, Innoplexus is developing a tool that will let users easily access and understand information about Ayurveda, a system of traditional medicine native to India, based on Hindi content from key repositories.

Another Innoplexus LLM application, built with the new Hindi model, explains details about user prescriptions and medical reports — based on photos of them — in easy-to-understand terms.

NVIDIA NIM microservices are available as part of the NVIDIA AI Enterprise software platform. Developers can get started with them for free at ai.nvidia.com.

In addition, global system integrators including Infosys, Tata Consultancy Services (TCS), Tech Mahindra and Wipro are collaborating with NVIDIA to help life sciences and healthcare companies accelerate their generative AI adoption.

Learn more about the latest in generative AI and accelerated computing at the NVIDIA AI Summit in India, and subscribe to NVIDIA healthcare news.

Read More

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Life sciences and healthcare organizations across India are using generative AI to build applications that can deliver life-saving impacts — within the country and across the globe.

Among such leading organizations are research centers at the Indian Institute of Technology Madras (IIT Madras) and the Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), intelligent life sciences company Innoplexus and AI-led medical diagnostics platform provider 5C Network.

Central to their work are NVIDIA NIM microservices, including the new Nemotron-4-Mini-Hindi 4B microservice for building sovereign AI applications and large language models (LLMs) in the Hindi language.

The Nemotron-4 Hindi model delivers the highest accuracy across benchmarks in 2 billion to 8 billion model-size categories for Hindi.

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028, the new AI model has the potential to dramatically improve healthcare accessibility and efficiency.

To gear up for such growing demands — and to help more patients faster — the Indian government is significantly investing in building foundational AI models designed and developed within the country, including for healthcare, through initiatives like the IndiaAI Mission.

Members of the Indian healthcare ecosystem are leading the charge by advancing neuroscience research, combating antibiotic resistance, accelerating drug discovery, automating diagnostic scan analysis and more — all with AI’s help.

IIT Madras Advances Neuroscience Research With AI 

The IIT Madras Brain Centre is advancing neuroscience research by imaging whole human brains at a cellular level across various ages and brain diseases, and using AI to analyze these vast petabyte-sized primary datasets. The work is opening new avenues for understanding brain structure and function, as well as how they change in disease conditions, accelerating research that could lead to life-saving discoveries.

To make information about the brain more accessible to STEM students and researchers, the center is developing an AI chatbot — using the Nemotron-4 Hindi NIM microservice — that can answer neuroscience-related questions in Hindi.

This builds upon the center’s existing NVIDIA AI-powered knowledge-exploration framework, called Neuro Voyager. Developed using visual question-answering models and LLMs, Neuro Voyager lets researchers submit queries related to brain images and provides highly accurate answers using multimodal information retrieval.

IIT Madras developed Neuro Voyager using both real-world data from research publications and synthetic data.

Using NVIDIA NeMo Retriever, a collection of NIM microservices for information retrieval, the team achieved a 30% increase in accuracy through fine-tuning of the embedding model and further refinement of the framework.

For the tool’s answer-generation portion, the researchers tapped the Llama 3.1 70B NVIDIA NIM microservice, running on NVIDIA DGX systems, which accelerated LLM inference 4x compared with the native model.

IIIT-Delhi-Led Consortium Fights Antimicrobial Resistance Using Generative AI, NVIDIA DGX

A research group at IIIT-Delhi is using the Nemotron-4 Hindi model to collect antibiotic prescription patterns in local languages, including Hindi.

Antimicrobial resistance — among the world’s greatest threats to global health — occurs when bacteria, viruses, fungi and parasites change over time, no longer responding to treatment and increasing the risk of disease spread, severe illness and death.

IIIT-Delhi researchers predict that AI-guided antimicrobial stewardship will be a key component of preventing the tens of millions of deaths that could be caused by antimicrobial resistance between 2025 and 2050.

The researchers’ AI-powered data integration and predictive analytics tool, AMRSense, improves accuracy and speeds time to insights on antimicrobial resistance. Powered by NVIDIA NeMo platform-based natural language processing, AMRSense is designed to be used in hospital and community settings.

This collaborative solution between IIIT-Delhi and a consortium of other research institutions placed second out of over 300 entries in the Trinity Challenge, a competition that calls for data-driven solutions to help tackle global health threats.

IIIT-Delhi is also using NVIDIA DGX systems to build foundation models that can further hone its workflows.

5C Network Uses NVIDIA NIM, MONAI for AI-Powered Medical Imaging

Bengaluru- and Coimbatore-based 5C Network’s Bionic suite of medical imaging tools, based on computer vision and LLMs, is helping transform radiology reporting by reading, detecting and analyzing medical scans and generating comprehensive medical notes that provide actionable insights to support clinicians in decision-making.

Used across India’s largest hospital groups and several marquee hospitals, Bionic detects pathologies in scans, such as lung lesions in X-rays or brain masses in MRIs. It then provides detailed measurements of abnormalities, such as the size, volume or density of lesions to assess disease severity and treatment planning. Finally, Bionic compiles the data into clear, actionable reports with suggested next steps, such as further testing or specialist referrals.

Bionic was developed using the open-source MONAI framework, the NVIDIA TensorRT ecosystem of application programming interfaces for high-performance deep learning inference, and the NVIDIA NeMo platform for custom generative AI.

Using the Nemotron-4 Hindi NIM microservice, 5C Network is now enhancing its client app, which allows patients to ask questions about radiology reports and receive quick, accurate responses in simplified Hindi.


Innoplexus Analyzes Protein Interactions With NVIDIA NIM

Innoplexus, a member of the NVIDIA Inception program for cutting-edge startups, has built an AI-powered life sciences platform for drug discovery powered by NVIDIA NIM, including the AlphaFold2 NIM microservice.

Protein-protein interaction (PPI) is critical to pathogenic and physiologic mechanisms that trigger the onset and progression of diseases. This means understanding PPI can help facilitate effective diagnostic and therapeutic strategies.

Innoplexus performs large-scale PPI predictions up to 500x faster than traditional methods. The company’s platform can analyze 200 million protein interactions in just seconds, tapping into NVIDIA H100 Tensor Core GPU acceleration.

Using NVIDIA NIM microservices, Innoplexus generates synthetic patient data to boost its AI models and performs virtual screenings of 5.8 million small molecules in less than eight hours — 10x faster than without NIM.

Plus, the microservices help Innoplexus identify the most effective, safest drugs within a given set of therapeutic agents with 90% accuracy.​

Using the new Nemotron-4 Hindi model, Innoplexus is developing a tool that will let users easily access and understand information about Ayurveda, a system of traditional medicine native to India, based on Hindi content from key repositories.

Another Innoplexus LLM application, built with the new Hindi model, explains details about user prescriptions and medical reports — based on photos of them — in easy-to-understand terms.

NVIDIA NIM microservices are available as part of the NVIDIA AI Enterprise software platform. Developers can get started with them for free at ai.nvidia.com.

In addition, global system integrators including Infosys, Tata Consultancy Services (TCS), Tech Mahindra and Wipro are collaborating with NVIDIA to help life sciences and healthcare companies accelerate their generative AI adoption.

Learn more about the latest in generative AI and accelerated computing at the NVIDIA AI Summit in India, and subscribe to NVIDIA healthcare news.

Read More

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Life sciences and healthcare organizations across India are using generative AI to build applications that can deliver life-saving impacts — within the country and across the globe.

Among such leading organizations are research centers at the Indian Institute of Technology Madras (IIT Madras) and the Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), intelligent life sciences company Innoplexus and AI-led medical diagnostics platform provider 5C Network.

Central to their work are NVIDIA NIM microservices, including the new Nemotron-4-Mini-Hindi 4B microservice for building sovereign AI applications and large language models (LLMs) in the Hindi language.

The Nemotron-4 Hindi model delivers the highest accuracy across benchmarks in 2 billion to 8 billion model-size categories for Hindi.

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028, the new AI model has the potential to dramatically improve healthcare accessibility and efficiency.

To gear up for such growing demands — and to help more patients faster — the Indian government is significantly investing in building foundational AI models designed and developed within the country, including for healthcare, through initiatives like the IndiaAI Mission.

Members of the Indian healthcare ecosystem are leading the charge by advancing neuroscience research, combating antibiotic resistance, accelerating drug discovery, automating diagnostic scan analysis and more — all with AI’s help.

IIT Madras Advances Neuroscience Research With AI 

The IIT Madras Brain Centre is advancing neuroscience research by imaging whole human brains at a cellular level across various ages and brain diseases, and using AI to analyze these vast petabyte-sized primary datasets. The work is opening new avenues for understanding brain structure and function, as well as how they change in disease conditions, accelerating research that could lead to life-saving discoveries.

To make information about the brain more accessible to STEM students and researchers, the center is developing an AI chatbot — using the Nemotron-4 Hindi NIM microservice — that can answer neuroscience-related questions in Hindi.

This builds upon the center’s existing NVIDIA AI-powered knowledge-exploration framework, called Neuro Voyager. Developed using visual question-answering models and LLMs, Neuro Voyager lets researchers submit queries related to brain images and provides highly accurate answers using multimodal information retrieval.

IIT Madras developed Neuro Voyager using both real-world data from research publications and synthetic data.

Using NVIDIA NeMo Retriever, a collection of NIM microservices for information retrieval, the team achieved a 30% increase in accuracy through fine-tuning of the embedding model and further refinement of the framework.

For the tool’s answer-generation portion, the researchers tapped the Llama 3.1 70B NVIDIA NIM microservice, running on NVIDIA DGX systems, which accelerated LLM inference 4x compared with the native model.

IIIT-Delhi-Led Consortium Fights Antimicrobial Resistance Using Generative AI, NVIDIA DGX

A research group at IIIT-Delhi is using the Nemotron-4 Hindi model to collect antibiotic prescription patterns in local languages, including Hindi.

Antimicrobial resistance — among the world’s greatest threats to global health — occurs when bacteria, viruses, fungi and parasites change over time, no longer responding to treatment and increasing the risk of disease spread, severe illness and death.

IIIT-Delhi researchers predict that AI-guided antimicrobial stewardship will be a key component of preventing the tens of millions of deaths that could be caused by antimicrobial resistance between 2025 and 2050.

The researchers’ AI-powered data integration and predictive analytics tool, AMRSense, improves accuracy and speeds time to insights on antimicrobial resistance. Powered by NVIDIA NeMo platform-based natural language processing, AMRSense is designed to be used in hospital and community settings.

This collaborative solution between IIIT-Delhi and a consortium of other research institutions placed second out of over 300 entries in the Trinity Challenge, a competition that calls for data-driven solutions to help tackle global health threats.

IIIT-Delhi is also using NVIDIA DGX systems to build foundation models that can further hone its workflows.

5C Network Uses NVIDIA NIM, MONAI for AI-Powered Medical Imaging

Bengaluru- and Coimbatore-based 5C Network’s Bionic suite of medical imaging tools, based on computer vision and LLMs, is helping transform radiology reporting by reading, detecting and analyzing medical scans and generating comprehensive medical notes that provide actionable insights to support clinicians in decision-making.

Used across India’s largest hospital groups and several marquee hospitals, Bionic detects pathologies in scans, such as lung lesions in X-rays or brain masses in MRIs. It then provides detailed measurements of abnormalities, such as the size, volume or density of lesions to assess disease severity and treatment planning. Finally, Bionic compiles the data into clear, actionable reports with suggested next steps, such as further testing or specialist referrals.

Bionic was developed using the open-source MONAI framework, the NVIDIA TensorRT ecosystem of application programming interfaces for high-performance deep learning inference, and the NVIDIA NeMo platform for custom generative AI.

Using the Nemotron-4 Hindi NIM microservice, 5C Network is now enhancing its client app, which allows patients to ask questions about radiology reports and receive quick, accurate responses in simplified Hindi.


Innoplexus Analyzes Protein Interactions With NVIDIA NIM

Innoplexus, a member of the NVIDIA Inception program for cutting-edge startups, has built an AI-powered life sciences platform for drug discovery powered by NVIDIA NIM, including the AlphaFold2 NIM microservice.

Protein-protein interaction (PPI) is critical to pathogenic and physiologic mechanisms that trigger the onset and progression of diseases. This means understanding PPI can help facilitate effective diagnostic and therapeutic strategies.

Innoplexus performs large-scale PPI predictions up to 500x faster than traditional methods. The company’s platform can analyze 200 million protein interactions in just seconds, tapping into NVIDIA H100 Tensor Core GPU acceleration.

Using NVIDIA NIM microservices, Innoplexus generates synthetic patient data to boost its AI models and performs virtual screenings of 5.8 million small molecules in less than eight hours — 10x faster than without NIM.

Plus, the microservices help Innoplexus identify the most effective, safest drugs within a given set of therapeutic agents with 90% accuracy.​

Using the new Nemotron-4 Hindi model, Innoplexus is developing a tool that will let users easily access and understand information about Ayurveda, a system of traditional medicine native to India, based on Hindi content from key repositories.

Another Innoplexus LLM application, built with the new Hindi model, explains details about user prescriptions and medical reports — based on photos of them — in easy-to-understand terms.

NVIDIA NIM microservices are available as part of the NVIDIA AI Enterprise software platform. Developers can get started with them for free at ai.nvidia.com.

In addition, global system integrators including Infosys, Tata Consultancy Services (TCS), Tech Mahindra and Wipro are collaborating with NVIDIA to help life sciences and healthcare companies accelerate their generative AI adoption.

Learn more about the latest in generative AI and accelerated computing at the NVIDIA AI Summit in India, and subscribe to NVIDIA healthcare news.

Read More

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Life sciences and healthcare organizations across India are using generative AI to build applications that can deliver life-saving impacts — within the country and across the globe.

Among such leading organizations are research centers at the Indian Institute of Technology Madras (IIT Madras) and the Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), intelligent life sciences company Innoplexus and AI-led medical diagnostics platform provider 5C Network.

Central to their work are NVIDIA NIM microservices, including the new Nemotron-4-Mini-Hindi 4B microservice for building sovereign AI applications and large language models (LLMs) in the Hindi language.

The Nemotron-4 Hindi model delivers the highest accuracy across benchmarks in 2 billion to 8 billion model-size categories for Hindi.

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028, the new AI model has the potential to dramatically improve healthcare accessibility and efficiency.

To gear up for such growing demands — and to help more patients faster — the Indian government is significantly investing in building foundational AI models designed and developed within the country, including for healthcare, through initiatives like the IndiaAI Mission.

Members of the Indian healthcare ecosystem are leading the charge by advancing neuroscience research, combating antibiotic resistance, accelerating drug discovery, automating diagnostic scan analysis and more — all with AI’s help.

IIT Madras Advances Neuroscience Research With AI 

The IIT Madras Brain Centre is advancing neuroscience research by imaging whole human brains at a cellular level across various ages and brain diseases, and using AI to analyze these vast petabyte-sized primary datasets. The work is opening new avenues for understanding brain structure and function, as well as how they change in disease conditions, accelerating research that could lead to life-saving discoveries.

To make information about the brain more accessible to STEM students and researchers, the center is developing an AI chatbot — using the Nemotron-4 Hindi NIM microservice — that can answer neuroscience-related questions in Hindi.

This builds upon the center’s existing NVIDIA AI-powered knowledge-exploration framework, called Neuro Voyager. Developed using visual question-answering models and LLMs, Neuro Voyager lets researchers submit queries related to brain images and provides highly accurate answers using multimodal information retrieval.

IIT Madras developed Neuro Voyager using both real-world data from research publications and synthetic data.

Using NVIDIA NeMo Retriever, a collection of NIM microservices for information retrieval, the team achieved a 30% increase in accuracy through fine-tuning of the embedding model and further refinement of the framework.

For the tool’s answer-generation portion, the researchers tapped the Llama 3.1 70B NVIDIA NIM microservice, running on NVIDIA DGX systems, which accelerated LLM inference 4x compared with the native model.

IIIT-Delhi-Led Consortium Fights Antimicrobial Resistance Using Generative AI, NVIDIA DGX

A research group at IIIT-Delhi is using the Nemotron-4 Hindi model to collect antibiotic prescription patterns in local languages, including Hindi.

Antimicrobial resistance — among the world’s greatest threats to global health — occurs when bacteria, viruses, fungi and parasites change over time, no longer responding to treatment and increasing the risk of disease spread, severe illness and death.

IIIT-Delhi researchers predict that AI-guided antimicrobial stewardship will be a key component of preventing the tens of millions of deaths that could be caused by antimicrobial resistance between 2025 and 2050.

The researchers’ AI-powered data integration and predictive analytics tool, AMRSense, improves accuracy and speeds time to insights on antimicrobial resistance. Powered by NVIDIA NeMo platform-based natural language processing, AMRSense is designed to be used in hospital and community settings.

This collaborative solution between IIIT-Delhi and a consortium of other research institutions placed second out of over 300 entries in the Trinity Challenge, a competition that calls for data-driven solutions to help tackle global health threats.

IIIT-Delhi is also using NVIDIA DGX systems to build foundation models that can further hone its workflows.

5C Network Uses NVIDIA NIM, MONAI for AI-Powered Medical Imaging

Bengaluru- and Coimbatore-based 5C Network’s Bionic suite of medical imaging tools, based on computer vision and LLMs, is helping transform radiology reporting by reading, detecting and analyzing medical scans and generating comprehensive medical notes that provide actionable insights to support clinicians in decision-making.

Used across India’s largest hospital groups and several marquee hospitals, Bionic detects pathologies in scans, such as lung lesions in X-rays or brain masses in MRIs. It then provides detailed measurements of abnormalities, such as the size, volume or density of lesions to assess disease severity and treatment planning. Finally, Bionic compiles the data into clear, actionable reports with suggested next steps, such as further testing or specialist referrals.

Bionic was developed using the open-source MONAI framework, the NVIDIA TensorRT ecosystem of application programming interfaces for high-performance deep learning inference, and the NVIDIA NeMo platform for custom generative AI.

Using the Nemotron-4 Hindi NIM microservice, 5C Network is now enhancing its client app, which allows patients to ask questions about radiology reports and receive quick, accurate responses in simplified Hindi.


Innoplexus Analyzes Protein Interactions With NVIDIA NIM

Innoplexus, a member of the NVIDIA Inception program for cutting-edge startups, has built an AI-powered life sciences platform for drug discovery powered by NVIDIA NIM, including the AlphaFold2 NIM microservice.

Protein-protein interaction (PPI) is critical to pathogenic and physiologic mechanisms that trigger the onset and progression of diseases. This means understanding PPI can help facilitate effective diagnostic and therapeutic strategies.

Innoplexus performs large-scale PPI predictions up to 500x faster than traditional methods. The company’s platform can analyze 200 million protein interactions in just seconds, tapping into NVIDIA H100 Tensor Core GPU acceleration.

Using NVIDIA NIM microservices, Innoplexus generates synthetic patient data to boost its AI models and performs virtual screenings of 5.8 million small molecules in less than eight hours — 10x faster than without NIM.

Plus, the microservices help Innoplexus identify the most effective, safest drugs within a given set of therapeutic agents with 90% accuracy.​

Using the new Nemotron-4 Hindi model, Innoplexus is developing a tool that will let users easily access and understand information about Ayurveda, a system of traditional medicine native to India, based on Hindi content from key repositories.

Another Innoplexus LLM application, built with the new Hindi model, explains details about user prescriptions and medical reports — based on photos of them — in easy-to-understand terms.

NVIDIA NIM microservices are available as part of the NVIDIA AI Enterprise software platform. Developers can get started with them for free at ai.nvidia.com.

In addition, global system integrators including Infosys, Tata Consultancy Services (TCS), Tech Mahindra and Wipro are collaborating with NVIDIA to help life sciences and healthcare companies accelerate their generative AI adoption.

Learn more about the latest in generative AI and accelerated computing at the NVIDIA AI Summit in India, and subscribe to NVIDIA healthcare news.

Read More

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Life sciences and healthcare organizations across India are using generative AI to build applications that can deliver life-saving impacts — within the country and across the globe.

Among such leading organizations are research centers at the Indian Institute of Technology Madras (IIT Madras) and the Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), intelligent life sciences company Innoplexus and AI-led medical diagnostics platform provider 5C Network.

Central to their work are NVIDIA NIM microservices, including the new Nemotron-4-Mini-Hindi 4B microservice for building sovereign AI applications and large language models (LLMs) in the Hindi language.

The Nemotron-4 Hindi model delivers the highest accuracy across benchmarks in 2 billion to 8 billion model-size categories for Hindi.

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028, the new AI model has the potential to dramatically improve healthcare accessibility and efficiency.

To gear up for such growing demands — and to help more patients faster — the Indian government is significantly investing in building foundational AI models designed and developed within the country, including for healthcare, through initiatives like the IndiaAI Mission.

Members of the Indian healthcare ecosystem are leading the charge by advancing neuroscience research, combating antibiotic resistance, accelerating drug discovery, automating diagnostic scan analysis and more — all with AI’s help.

IIT Madras Advances Neuroscience Research With AI 

The IIT Madras Brain Centre is advancing neuroscience research by imaging whole human brains at a cellular level across various ages and brain diseases, and using AI to analyze these vast petabyte-sized primary datasets. The work is opening new avenues for understanding brain structure and function, as well as how they change in disease conditions, accelerating research that could lead to life-saving discoveries.

To make information about the brain more accessible to STEM students and researchers, the center is developing an AI chatbot — using the Nemotron-4 Hindi NIM microservice — that can answer neuroscience-related questions in Hindi.

This builds upon the center’s existing NVIDIA AI-powered knowledge-exploration framework, called Neuro Voyager. Developed using visual question-answering models and LLMs, Neuro Voyager lets researchers submit queries related to brain images and provides highly accurate answers using multimodal information retrieval.

IIT Madras developed Neuro Voyager using both real-world data from research publications and synthetic data.

Using NVIDIA NeMo Retriever, a collection of NIM microservices for information retrieval, the team achieved a 30% increase in accuracy through fine-tuning of the embedding model and further refinement of the framework.

For the tool’s answer-generation portion, the researchers tapped the Llama 3.1 70B NVIDIA NIM microservice, running on NVIDIA DGX systems, which accelerated LLM inference 4x compared with the native model.

IIIT-Delhi-Led Consortium Fights Antimicrobial Resistance Using Generative AI, NVIDIA DGX

A research group at IIIT-Delhi is using the Nemotron-4 Hindi model to collect antibiotic prescription patterns in local languages, including Hindi.

Antimicrobial resistance — among the world’s greatest threats to global health — occurs when bacteria, viruses, fungi and parasites change over time, no longer responding to treatment and increasing the risk of disease spread, severe illness and death.

IIIT-Delhi researchers predict that AI-guided antimicrobial stewardship will be a key component of preventing the tens of millions of deaths that could be caused by antimicrobial resistance between 2025 and 2050.

The researchers’ AI-powered data integration and predictive analytics tool, AMRSense, improves accuracy and speeds time to insights on antimicrobial resistance. Powered by NVIDIA NeMo platform-based natural language processing, AMRSense is designed to be used in hospital and community settings.

This collaborative solution between IIIT-Delhi and a consortium of other research institutions placed second out of over 300 entries in the Trinity Challenge, a competition that calls for data-driven solutions to help tackle global health threats.

IIIT-Delhi is also using NVIDIA DGX systems to build foundation models that can further hone its workflows.

5C Network Uses NVIDIA NIM, MONAI for AI-Powered Medical Imaging

Bengaluru- and Coimbatore-based 5C Network’s Bionic suite of medical imaging tools, based on computer vision and LLMs, is helping transform radiology reporting by reading, detecting and analyzing medical scans and generating comprehensive medical notes that provide actionable insights to support clinicians in decision-making.

Used across India’s largest hospital groups and several marquee hospitals, Bionic detects pathologies in scans, such as lung lesions in X-rays or brain masses in MRIs. It then provides detailed measurements of abnormalities, such as the size, volume or density of lesions to assess disease severity and treatment planning. Finally, Bionic compiles the data into clear, actionable reports with suggested next steps, such as further testing or specialist referrals.

Bionic was developed using the open-source MONAI framework, the NVIDIA TensorRT ecosystem of application programming interfaces for high-performance deep learning inference, and the NVIDIA NeMo platform for custom generative AI.

Using the Nemotron-4 Hindi NIM microservice, 5C Network is now enhancing its client app, which allows patients to ask questions about radiology reports and receive quick, accurate responses in simplified Hindi.


Innoplexus Analyzes Protein Interactions With NVIDIA NIM

Innoplexus, a member of the NVIDIA Inception program for cutting-edge startups, has built an AI-powered life sciences platform for drug discovery powered by NVIDIA NIM, including the AlphaFold2 NIM microservice.

Protein-protein interaction (PPI) is critical to pathogenic and physiologic mechanisms that trigger the onset and progression of diseases. This means understanding PPI can help facilitate effective diagnostic and therapeutic strategies.

Innoplexus performs large-scale PPI predictions up to 500x faster than traditional methods. The company’s platform can analyze 200 million protein interactions in just seconds, tapping into NVIDIA H100 Tensor Core GPU acceleration.

Using NVIDIA NIM microservices, Innoplexus generates synthetic patient data to boost its AI models and performs virtual screenings of 5.8 million small molecules in less than eight hours — 10x faster than without NIM.

Plus, the microservices help Innoplexus identify the most effective, safest drugs within a given set of therapeutic agents with 90% accuracy.​

Using the new Nemotron-4 Hindi model, Innoplexus is developing a tool that will let users easily access and understand information about Ayurveda, a system of traditional medicine native to India, based on Hindi content from key repositories.

Another Innoplexus LLM application, built with the new Hindi model, explains details about user prescriptions and medical reports — based on photos of them — in easy-to-understand terms.

NVIDIA NIM microservices are available as part of the NVIDIA AI Enterprise software platform. Developers can get started with them for free at ai.nvidia.com.

In addition, global system integrators including Infosys, Tata Consultancy Services (TCS), Tech Mahindra and Wipro are collaborating with NVIDIA to help life sciences and healthcare companies accelerate their generative AI adoption.

Learn more about the latest in generative AI and accelerated computing at the NVIDIA AI Summit in India, and subscribe to NVIDIA healthcare news.

Read More

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Life sciences and healthcare organizations across India are using generative AI to build applications that can deliver life-saving impacts — within the country and across the globe.

Among such leading organizations are research centers at the Indian Institute of Technology Madras (IIT Madras) and the Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), intelligent life sciences company Innoplexus and AI-led medical diagnostics platform provider 5C Network.

Central to their work are NVIDIA NIM microservices, including the new Nemotron-4-Mini-Hindi 4B microservice for building sovereign AI applications and large language models (LLMs) in the Hindi language.

The Nemotron-4 Hindi model delivers the highest accuracy across benchmarks in 2 billion to 8 billion model-size categories for Hindi.

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028, the new AI model has the potential to dramatically improve healthcare accessibility and efficiency.

To gear up for such growing demands — and to help more patients faster — the Indian government is significantly investing in building foundational AI models designed and developed within the country, including for healthcare, through initiatives like the IndiaAI Mission.

Members of the Indian healthcare ecosystem are leading the charge by advancing neuroscience research, combating antibiotic resistance, accelerating drug discovery, automating diagnostic scan analysis and more — all with AI’s help.

IIT Madras Advances Neuroscience Research With AI 

The IIT Madras Brain Centre is advancing neuroscience research by imaging whole human brains at a cellular level across various ages and brain diseases, and using AI to analyze these vast petabyte-sized primary datasets. The work is opening new avenues for understanding brain structure and function, as well as how they change in disease conditions, accelerating research that could lead to life-saving discoveries.

To make information about the brain more accessible to STEM students and researchers, the center is developing an AI chatbot — using the Nemotron-4 Hindi NIM microservice — that can answer neuroscience-related questions in Hindi.

This builds upon the center’s existing NVIDIA AI-powered knowledge-exploration framework, called Neuro Voyager. Developed using visual question-answering models and LLMs, Neuro Voyager lets researchers submit queries related to brain images and provides highly accurate answers using multimodal information retrieval.

IIT Madras developed Neuro Voyager using both real-world data from research publications and synthetic data.

Using NVIDIA NeMo Retriever, a collection of NIM microservices for information retrieval, the team achieved a 30% increase in accuracy through fine-tuning of the embedding model and further refinement of the framework.

For the tool’s answer-generation portion, the researchers tapped the Llama 3.1 70B NVIDIA NIM microservice, running on NVIDIA DGX systems, which accelerated LLM inference 4x compared with the native model.

IIIT-Delhi-Led Consortium Fights Antimicrobial Resistance Using Generative AI, NVIDIA DGX

A research group at IIIT-Delhi is using the Nemotron-4 Hindi model to collect antibiotic prescription patterns in local languages, including Hindi.

Antimicrobial resistance — among the world’s greatest threats to global health — occurs when bacteria, viruses, fungi and parasites change over time, no longer responding to treatment and increasing the risk of disease spread, severe illness and death.

IIIT-Delhi researchers predict that AI-guided antimicrobial stewardship will be a key component of preventing the tens of millions of deaths that could be caused by antimicrobial resistance between 2025 and 2050.

The researchers’ AI-powered data integration and predictive analytics tool, AMRSense, improves accuracy and speeds time to insights on antimicrobial resistance. Powered by NVIDIA NeMo platform-based natural language processing, AMRSense is designed to be used in hospital and community settings.

This collaborative solution between IIIT-Delhi and a consortium of other research institutions placed second out of over 300 entries in the Trinity Challenge, a competition that calls for data-driven solutions to help tackle global health threats.

IIIT-Delhi is also using NVIDIA DGX systems to build foundation models that can further hone its workflows.

5C Network Uses NVIDIA NIM, MONAI for AI-Powered Medical Imaging

Bengaluru- and Coimbatore-based 5C Network’s Bionic suite of medical imaging tools, based on computer vision and LLMs, is helping transform radiology reporting by reading, detecting and analyzing medical scans and generating comprehensive medical notes that provide actionable insights to support clinicians in decision-making.

Used across India’s largest hospital groups and several marquee hospitals, Bionic detects pathologies in scans, such as lung lesions in X-rays or brain masses in MRIs. It then provides detailed measurements of abnormalities, such as the size, volume or density of lesions to assess disease severity and treatment planning. Finally, Bionic compiles the data into clear, actionable reports with suggested next steps, such as further testing or specialist referrals.

Bionic was developed using the open-source MONAI framework, the NVIDIA TensorRT ecosystem of application programming interfaces for high-performance deep learning inference, and the NVIDIA NeMo platform for custom generative AI.

Using the Nemotron-4 Hindi NIM microservice, 5C Network is now enhancing its client app, which allows patients to ask questions about radiology reports and receive quick, accurate responses in simplified Hindi.


Innoplexus Analyzes Protein Interactions With NVIDIA NIM

Innoplexus, a member of the NVIDIA Inception program for cutting-edge startups, has built an AI-powered life sciences platform for drug discovery powered by NVIDIA NIM, including the AlphaFold2 NIM microservice.

Protein-protein interaction (PPI) is critical to pathogenic and physiologic mechanisms that trigger the onset and progression of diseases. This means understanding PPI can help facilitate effective diagnostic and therapeutic strategies.

Innoplexus performs large-scale PPI predictions up to 500x faster than traditional methods. The company’s platform can analyze 200 million protein interactions in just seconds, tapping into NVIDIA H100 Tensor Core GPU acceleration.

Using NVIDIA NIM microservices, Innoplexus generates synthetic patient data to boost its AI models and performs virtual screenings of 5.8 million small molecules in less than eight hours — 10x faster than without NIM.

Plus, the microservices help Innoplexus identify the most effective, safest drugs within a given set of therapeutic agents with 90% accuracy.​

Using the new Nemotron-4 Hindi model, Innoplexus is developing a tool that will let users easily access and understand information about Ayurveda, a system of traditional medicine native to India, based on Hindi content from key repositories.

Another Innoplexus LLM application, built with the new Hindi model, explains details about user prescriptions and medical reports — based on photos of them — in easy-to-understand terms.

NVIDIA NIM microservices are available as part of the NVIDIA AI Enterprise software platform. Developers can get started with them for free at ai.nvidia.com.

In addition, global system integrators including Infosys, Tata Consultancy Services (TCS), Tech Mahindra and Wipro are collaborating with NVIDIA to help life sciences and healthcare companies accelerate their generative AI adoption.

Learn more about the latest in generative AI and accelerated computing at the NVIDIA AI Summit in India, and subscribe to NVIDIA healthcare news.

Read More

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Healthcare Leaders Across India Bring NVIDIA NIM for Hindi Language to LLM Applications

Life sciences and healthcare organizations across India are using generative AI to build applications that can deliver life-saving impacts — within the country and across the globe.

Among such leading organizations are research centers at the Indian Institute of Technology Madras (IIT Madras) and the Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), intelligent life sciences company Innoplexus and AI-led medical diagnostics platform provider 5C Network.

Central to their work are NVIDIA NIM microservices, including the new Nemotron-4-Mini-Hindi 4B microservice for building sovereign AI applications and large language models (LLMs) in the Hindi language.

The Nemotron-4 Hindi model delivers the highest accuracy across benchmarks in 2 billion to 8 billion model-size categories for Hindi.

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028, the new AI model has the potential to dramatically improve healthcare accessibility and efficiency.

To gear up for such growing demands — and to help more patients faster — the Indian government is significantly investing in building foundational AI models designed and developed within the country, including for healthcare, through initiatives like the IndiaAI Mission.

Members of the Indian healthcare ecosystem are leading the charge by advancing neuroscience research, combating antibiotic resistance, accelerating drug discovery, automating diagnostic scan analysis and more — all with AI’s help.

IIT Madras Advances Neuroscience Research With AI 

The IIT Madras Brain Centre is advancing neuroscience research by imaging whole human brains at a cellular level across various ages and brain diseases, and using AI to analyze these vast petabyte-sized primary datasets. The work is opening new avenues for understanding brain structure and function, as well as how they change in disease conditions, accelerating research that could lead to life-saving discoveries.

To make information about the brain more accessible to STEM students and researchers, the center is developing an AI chatbot — using the Nemotron-4 Hindi NIM microservice — that can answer neuroscience-related questions in Hindi.

This builds upon the center’s existing NVIDIA AI-powered knowledge-exploration framework, called Neuro Voyager. Developed using visual question-answering models and LLMs, Neuro Voyager lets researchers submit queries related to brain images and provides highly accurate answers using multimodal information retrieval.

IIT Madras developed Neuro Voyager using both real-world data from research publications and synthetic data.

Using NVIDIA NeMo Retriever, a collection of NIM microservices for information retrieval, the team achieved a 30% increase in accuracy through fine-tuning of the embedding model and further refinement of the framework.

For the tool’s answer-generation portion, the researchers tapped the Llama 3.1 70B NVIDIA NIM microservice, running on NVIDIA DGX systems, which accelerated LLM inference 4x compared with the native model.

IIIT-Delhi-Led Consortium Fights Antimicrobial Resistance Using Generative AI, NVIDIA DGX

A research group at IIIT-Delhi is using the Nemotron-4 Hindi model to collect antibiotic prescription patterns in local languages, including Hindi.

Antimicrobial resistance — among the world’s greatest threats to global health — occurs when bacteria, viruses, fungi and parasites change over time, no longer responding to treatment and increasing the risk of disease spread, severe illness and death.

IIIT-Delhi researchers predict that AI-guided antimicrobial stewardship will be a key component of preventing the tens of millions of deaths that could be caused by antimicrobial resistance between 2025 and 2050.

The researchers’ AI-powered data integration and predictive analytics tool, AMRSense, improves accuracy and speeds time to insights on antimicrobial resistance. Powered by NVIDIA NeMo platform-based natural language processing, AMRSense is designed to be used in hospital and community settings.

This collaborative solution between IIIT-Delhi and a consortium of other research institutions placed second out of over 300 entries in the Trinity Challenge, a competition that calls for data-driven solutions to help tackle global health threats.

IIIT-Delhi is also using NVIDIA DGX systems to build foundation models that can further hone its workflows.

5C Network Uses NVIDIA NIM, MONAI for AI-Powered Medical Imaging

Bengaluru- and Coimbatore-based 5C Network’s Bionic suite of medical imaging tools, based on computer vision and LLMs, is helping transform radiology reporting by reading, detecting and analyzing medical scans and generating comprehensive medical notes that provide actionable insights to support clinicians in decision-making.

Used across India’s largest hospital groups and several marquee hospitals, Bionic detects pathologies in scans, such as lung lesions in X-rays or brain masses in MRIs. It then provides detailed measurements of abnormalities, such as the size, volume or density of lesions to assess disease severity and treatment planning. Finally, Bionic compiles the data into clear, actionable reports with suggested next steps, such as further testing or specialist referrals.

Bionic was developed using the open-source MONAI framework, the NVIDIA TensorRT ecosystem of application programming interfaces for high-performance deep learning inference, and the NVIDIA NeMo platform for custom generative AI.

Using the Nemotron-4 Hindi NIM microservice, 5C Network is now enhancing its client app, which allows patients to ask questions about radiology reports and receive quick, accurate responses in simplified Hindi.


Innoplexus Analyzes Protein Interactions With NVIDIA NIM

Innoplexus, a member of the NVIDIA Inception program for cutting-edge startups, has built an AI-powered life sciences platform for drug discovery powered by NVIDIA NIM, including the AlphaFold2 NIM microservice.

Protein-protein interaction (PPI) is critical to pathogenic and physiologic mechanisms that trigger the onset and progression of diseases. This means understanding PPI can help facilitate effective diagnostic and therapeutic strategies.

Innoplexus performs large-scale PPI predictions up to 500x faster than traditional methods. The company’s platform can analyze 200 million protein interactions in just seconds, tapping into NVIDIA H100 Tensor Core GPU acceleration.

Using NVIDIA NIM microservices, Innoplexus generates synthetic patient data to boost its AI models and performs virtual screenings of 5.8 million small molecules in less than eight hours — 10x faster than without NIM.

Plus, the microservices help Innoplexus identify the most effective, safest drugs within a given set of therapeutic agents with 90% accuracy.​

Using the new Nemotron-4 Hindi model, Innoplexus is developing a tool that will let users easily access and understand information about Ayurveda, a system of traditional medicine native to India, based on Hindi content from key repositories.

Another Innoplexus LLM application, built with the new Hindi model, explains details about user prescriptions and medical reports — based on photos of them — in easy-to-understand terms.

NVIDIA NIM microservices are available as part of the NVIDIA AI Enterprise software platform. Developers can get started with them for free at ai.nvidia.com.

In addition, global system integrators including Infosys, Tata Consultancy Services (TCS), Tech Mahindra and Wipro are collaborating with NVIDIA to help life sciences and healthcare companies accelerate their generative AI adoption.

Learn more about the latest in generative AI and accelerated computing at the NVIDIA AI Summit in India, and subscribe to NVIDIA healthcare news.

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