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Artificial Intelligence (AI) is the field developing computers and robots capable of parsing data contextually to provide requested information, supply analysis, or trigger events based on findings. Through techniques like machine learning and neural networks, companies globally are investing in teaching machines to ‘think’ more like humans. Below are some of the latest AI news from the industry:
Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker
Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains inaccessible due to factors like limited metadata and inconsistent labeling. Traditional keyword-based search mechanisms are often insufficient for locating relevant documents efficiently, requiring extensive manual re ...
Protect sensitive data in RAG applications with Amazon Bedrock
Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. Implementing RAG-based applications requires careful attention to security, particularly when handling sensitive data. The protection of personally identifiable information (PII), prote ...
Capital One Banks on AI for Financial Services
Financial services has long been at the forefront of adopting technological innovations. Today, generative AI and agentic systems are redefining the industry, from customer interactions to enterprise operations. Prem Natarajan, executive vice president, chief scientist and head of AI at Capital One, joined the NVIDIA AI Podcast to discuss how his organizatio ...
Research Focus: Week of April 21, 2025
In this issue: Catch a preview of our presentations and papers at CHI 2025 and ICLR 2025. We also introduce new research on causal reasoning and LLMs; enhancing LLM jailbreak capabilities to bolster safety and robustness; understanding how people using AI compared to AI-alone, and Distill-MOS, a compact and efficient model that delivers state-of-the-art s ...
How the Economics of Inference Can Maximize AI Value
As AI models evolve and adoption grows, enterprises must perform a delicate balancing act to achieve maximum value. That’s because inference — the process of running data through a model to get an output — offers a different computational challenge than training a model. Pretraining a model — the process of ingesting data, breaking it down into tokens and fi ...
Carnegie Mellon University at ICLR 2025
CMU researchers are presenting 143 papers at the Thirteenth International Conference on Learning Representations (ICLR 2025), held from April 24 – 28 at the Singapore EXPO. Here is a quick overview of the areas our researchers are working on: And here are our most frequent collaborator institutions: Table of Contents Oral Papers Spotlight Pa ...
Enterprises Onboard AI Teammates Faster With NVIDIA NeMo Tools to Scale Employee Productivity
An AI agent is only as accurate, relevant and timely as the data that powers it. Now generally available, NVIDIA NeMo microservices are helping enterprise IT quickly build AI teammates that tap into data flywheels to scale employee productivity. The microservices provide an end-to-end developer platform for creating state-of-the-art agentic AI systems and co ...
Project G-Assist Plug-In Builder Lets Anyone Customize AI on GeForce RTX AI PCs
AI is rapidly reshaping what’s possible on a PC — whether for real-time image generation or voice-controlled workflows. As AI capabilities grow, so does their complexity. Tapping into the power of AI can entail navigating a maze of system settings, software and hardware configurations. Enabling users to explore how on-device AI can simplify and enhance the P ...