Picture this: NVIDIA and MediaTek are working together to make the industry’s best gaming display technologies more accessible to gamers globally.
The companies’ collaboration, announced today at the Gamescom gaming gathering in Cologne, Germany, integrates the full suite of NVIDIA G-SYNC technologies into the world’s most popular scalers.
Gamers can expect superior image quality, unmatched motion clarity, ultra-low latency, highly accurate colors, and more cutting-edge benefits on their displays.
G-SYNC Pulsar: The Star of New Display Technologies
A highlight of this collaboration is the introduction of G-SYNC Pulsar, a new technology that offers 4x the effective motion clarity alongside a smooth and tear-free variable refresh rate (VRR) gaming experience.
G-SYNC Pulsar will debut on newly announced monitors, including the ASUS ROG Swift 360Hz PG27AQNR, Acer Predator XB273U F5 and AOC AGON PRO AG276QSG2.
These monitors, expected later this year, feature 2560×1440 resolution, a 360Hz refresh rate and HDR support.
Integrating G-SYNC into MediaTek scalers eliminates the need for a separate G-SYNC module, streamlining the production process and reducing costs.
This allows for the creation of feature-rich G-SYNC monitors at a more affordable price. And by expanding the availability of these premium gaming products to a broader audience, more gamers will be able to enjoy the best in motion clarity, image quality and performance.
As hurricanes, tornadoes and other extreme weather events occur with increased frequency and severity, it’s more important than ever to improve and accelerate climate research and prediction using the latest technologies.
Amid peaks in the current Atlantic hurricane season, NVIDIA Research today announced a new generative AI model, dubbed StormCast, for emulating high-fidelity atmospheric dynamics. This means the model can enable reliable weather prediction at mesoscale — a scale larger than storms but smaller than cyclones — which is critical for disaster planning and mitigation.
Detailed in a paper written in collaboration with the Lawrence Berkeley National Laboratory and the University of Washington, StormCast arrives as extreme weather phenomena are taking lives, destroying homes and causing more than $150 billion in damage annually in the U.S. alone.
It’s just one example of how generative AI is supercharging thundering breakthroughs in climate research and actionable extreme weather prediction, helping scientists tackle challenges of the highest stakes: saving lives and the world.
NVIDIA Earth-2 — a digital twin cloud platform that combines the power of AI, physical simulations and computer graphics — enables simulation and visualization of weather and climate predictions at a global scale with unprecedented accuracy and speed.
At COMPUTEX in June, NVIDIA founder and CEO Jensen Huang announced CorrDiff, available through Earth-2.
In Taiwan, for example, the National Science and Technology Center for Disaster Reduction predicts fine-scale details of typhoons using CorrDiff, an NVIDIA generative AI model offered as part of Earth-2.
CorrDiff can super-resolve 25-kilometer-scale atmospheric data by 12.5x down to 2 kilometers — 1,000x faster and using 3,000x less energy for a single inference than traditional methods.
That means the center’s potentially lifesaving work, which previously cost nearly $3 million on CPUs, can be accomplished using about $60,000 on a single system with an NVIDIA H100 Tensor Core GPU. It’s a massive reduction that shows how generative AI and accelerated computing increase energy efficiency and lower costs.
The center also plans to use CorrDiff to predict downwash — when strong winds funnel down to street level, damaging buildings and affecting pedestrians — in urban areas.
Now, StormCast adds hourly autoregressive prediction capabilities to CorrDiff, meaning it can predict future outcomes based on past ones.
A Global Impact From a Regional Focus
Global climate research begins at a regional level.
Physical hazards of weather and climate change can vary dramatically on regional scales. But reliable numerical weather prediction at this level comes with substantial computational costs. This is due to the high spatial resolution needed to represent the underlying fluid-dynamic motions at mesoscale.
Regional weather prediction models — often referred to as convection-allowing models, or CAMs — have traditionally forced researchers to face varying tradeoffs in resolution, ensemble size and affordability.
CAMs are useful to meteorologists for tracking the evolution and structure of storms, as well as for monitoring its convective mode, or how a storm is organized when it forms. For example, the likelihood of a tornado is based on a storm’s structure and convective mode.
A mesoscale convective system visualized using NOAA’s Geostationary Operational Environmental Satellite. Image courtesy of NOAA.
CAMs also help researchers understand the implications for weather-related physical hazards at the infrastructure level.
For example, global climate model simulations can be used to inform CAMs, helping them translate slow changes in the moisture content of large atmospheric rivers into flash-flooding projections in vulnerable coastal areas.
At lower resolutions, machine learning models trained on global data have emerged as useful emulators of numerical weather prediction models that can be used to improve early-warning systems for severe events. These machine learning models typically have a spatial resolution of about 30 kilometers and a temporal resolution of six hours.
Now, with the help of generative diffusion, StormCast enables this at a 3-kilometer, hourly scale.
Despite being in its infancy, the model — when applied with precipitation radars — already offers forecasts with lead times of up to six hours that are up to 10% more accurate than the U.S. National Oceanic and Atmospheric Administration (NOAA)’s state-of-the-art 3-kilometer operational CAM.
Plus, outputs from StormCast exhibit physically realistic heat and moisture dynamics, and can predict over 100 variables, such as temperature, moisture concentration, wind and rainfall radar reflectivity values at multiple, finely spaced altitudes. This enables scientists to confirm the realistic 3D evolution of a storm’s buoyancy — a first-of-its-kind accomplishment in AI weather simulation.
NVIDIA researchers trained StormCast on approximately three-and-a-half years of NOAA climate data from the central U.S., using NVIDIA accelerated computing to speed calculations.
More Innovations Brewing
Scientists are already looking to harness the model’s benefits.
“Given both the outsized impacts of organized thunderstorms and winter precipitation, and the major challenges in forecasting them with confidence, the production of computationally tractable storm-scale ensemble weather forecasts represents one of the grand challenges of numerical weather prediction,” said Tom Hamill, head of innovation at The Weather Company. “StormCast is a notable model that addresses these challenges, and The Weather Company is excited to collaborate with NVIDIA on developing, evaluating and potentially using these deep learning forecast models.”
“Developing high-resolution weather models requires AI algorithms to resolve convection, which is a huge challenge,” said Imme Ebert-Uphoff, machine learning lead at Colorado State University’s Cooperative Institute for Research in the Atmosphere. “The new NVIDIA research explores the potential of accomplishing this with diffusion models like StormCast, which presents a significant step toward the development of future AI models for high-resolution weather prediction.”
Alongside the acceleration and visualization of physically accurate climate simulations, as well as a digital twin of our planet, such research breakthroughs signify how NVIDIA Earth-2 is enabling a new, vital era of climate research.
Learn more about sustainable computing and NVIDIA Research, a global team of hundreds of scientists and engineers focused on topics including climate AI, computer graphics, computer vision, self-driving cars and robotics.
Featured image courtesy of NASA.
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Time to be wowed: GeForce NOW members can now stream World of Warcraft on supported devices with in-game mods powered by the CurseForge platform for WoW customization. With support for top mods, even the most hardcore raid leaders can play like a hero, thanks to the cloud.
Embark on a new adventure in Azeroth when the upcoming World of Warcraft expansion, The War Within, launches on Monday, Aug. 26, at 3 p.m. PT. GeForce NOW members who purchase the Epic Edition of The War Within will get early streaming access on Thursday, Aug. 22, at 3 p.m. PT.
And check out the five new games available in the ever-expanding GeForce NOW library this week, including the Psychonauts series from Double Fine Productions.
For those looking to upgrade their play or try out GeForce NOW for the first time, the Summer Sale is offering new one- and six-month Ultimate and Priority memberships at 50% off through this Sunday, Aug. 18.
Play Your Way
Return to World of Warcraft in style across supported devices with GeForce NOW and support for top CurseForge Addons. One of the most popular platforms for WoW Addons, CurseForge includes user interface customization, combat Addons, action bars, quest helpers and many more categories.
GeForce NOW has collaborated with CurseForge to include over 25 of the top Addons from its platform, available to Ultimate and Priority members — including Day Pass users — to seamlessly customize their WoW experience. The Addons are just as easy to implement as they would be while playing locally on a PC gaming rig, and a CurseForge account isn’t required — just launch WoW and enable Addons from the game’s menu.
Customize and conquer.
After clicking the new “Addons” button from the in-game menu, paying GeForce NOW members can choose the Addons they’d like to enable or opt to enable all. After that, CurseForge will ensure Addons update automatically, and GeForce NOW will remember the Addons selected on each game launch. Check out this article for more details.
Stream World of Warcraft and any mods that normally only work on PC across devices that the game is supported on, including SHIELD TVs, underpowered laptops, Chromebooks and handheld devices like the Steam Deck. Addons will work across all supported WoW experiences on GeForce NOW, including Classic and Cataclysm Classic. From ancient wonders to perilous dungeons, GeForce NOW is the best way for game veterans and newcomers alike to experience unparalleled adventure in the heart of Azeroth.
Members can show off their World of Warcraft Addons in the cloud by sharing a screenshot on social media using #ModsonGFN for a chance to be featured on GeForce NOW’s channels.
Dive to New Depths
Get ready to embark on a journey to the heart of Azeroth in The War Within and unveil the mysteries lying beneath the world’s surface, with early streaming access for those who purchase the Epic Edition. GeForce NOW members will be able to jump right in without waiting around for game updates.
Dig deep.
Experience the thrill of Warbands and an account-wide progression system, and soar through the skies with the new Skyriding feature. Dive into the Radiant Echoes event, collect Residual Memories and gear up with new items for Warband collections. With class and system updates, this expansion sets the stage for the epic tales and battles that await in the depths of Azeroth. Answer the call to arms when the saga of The War Within begins.
The full update for The War Within promises to delve deeper into the unexplored depths of Azeroth, continuing the story and expanding the gameplay experience. Look forward to new zones, dungeons and raids, as well as class and system updates — all at high performance, streaming on GeForce NOW.
Mind Over Matter
The mind is a dangerous place.
The Psychonauts franchise is the beloved action-adventure platformer from Double Fine Productions. Follow the story of Razputin “Raz” Aquato, a young psychic who runs away from the circus to join a summer camp for psychic spies-in-training. Experience unique level design and explore the minds of various characters, each filled with imaginative and often bizarre landscapes that reflect their psychological states.
Brains over brawn.
In Psychonauts 2, Raz is a full-fledged Psychonaut embarking on his first official mission. The sequel delves deeper into Raz’s family background and the workings of the Psychonauts organization. Explore intricately designed mental worlds, all while engaging in platforming and puzzle-solving gameplay.
With a GeForce NOW Ultimate or Priority account, the mind-bending world of Psychonauts is just a click away. Dive in, explore the depths of the human psyche and uncover the secrets that lie within.
Get With the Newness
The hunt is on.
Hunt: Showdown 1896 from Crytek marks a new era for the high-stakes, tactical first-person extraction game. The new PC update, available for members today, moves from the original game’s swamps of Louisiana to the sprawling mountains of Colorado. The brand-new Mammon’s Gulch map brings mountains, stunning vistas and grueling mines to the gaming experience, providing all-new elevation points and strategic angles for players to hide out and take out enemy Hunters.
In addition, members can look for the following:
Level Zero: Extraction (New release on Steam, Aug. 13)
Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC users.
Content generators — whether producing language, 2D images, 3D models or videos — are giving the creative community tools that bring visions to life faster.
To help developers build these new generative AI tools, NVIDIA has set up NVIDIA AI Foundry. It helps companies train generative AI models on their own licensed data using NVIDIA Edify, a multimodal AI architecture that can use simple text prompts to generate images, videos, 3D assets, 360-degree high-dynamic-range imaging and physically based rendering (PBR) materials. Using AI Foundry, companies can train bespoke AI models to generate any of these assets.
Key elements of Edify include its ability to generate multiple types of content, its superior training efficiency, which allows it to produce high-quality content while trained on fewer images, and its ability to fine-tune models to style-match or learn characters or objects.
One of the best examples of services built on NVIDIA AI Foundry and Edify is Generative AI by Getty Images, a commercially safe generative photography service. The combination of AI Foundry and Edify allows users to control their training datasets, so they can create models that fit their need.
To avoid copyright issues, Getty Images used Edify to train the service on its own licensed content, ensuring that no famous characters or products are in the dataset. The company also shares part of the profits with the contributors, driving a new revenue stream for creators who contribute to the model.
Asset Generation With Edify
Edify can be trained to generate a variety of image types, including images, 3D assets and 360-degree HDRi environment maps.
Edify Image can generate four high-quality 1K images in around six seconds, doubling the performance of the previous model. Images can also be converted to 4K with a generative upscaler that adds additional details.
Getty Images 4K image generation trained on NVIDIA Edify using commercially safe creative libraries.
Images are highly controllable thanks to advanced prompt adherence, camera controls to specify focal length or depth of field, and ControlNets to guide the generation. The ControlNets include Sketch, which allows users to provide a sketch to follow or copy the composition of an image, and Depth, to copy the composition of an image.
Images can also be edited with Edify Image. InPaint allows users to add or modify content in an image. Replace — a strict InPaint — can change details such as clothing. And OutPaint can expand an image to match different aspect ratios. And all of this is simplified with Segment, a feature that can mask objects with just a text prompt.
Edify can also create artist-ready 3D meshes. The meshes come with clean quads-based topology, up to 4K PBR materials and automatic UV mapping for easier texture editing. A fast preview mode provides results in as few as 10 seconds, which can then be turned into a full 3D mesh.
Meshes are perfect for prototyping scenes, generating background objects for set decoration or as a head start for 3D sculpting.
Edify 360 HDRi generates environment maps of natural landscapes that can be used to light a scene, for reflections and even as a background. The model can generate up to 16K HDRi images from text or image prompts. With a desired backplate in hand, users can create a custom HDRi to match instead of spending hours looking for one.
High dynamic range, 360-degree panoramas from text prompts.
Edify’s multimodal capability is unique, enabling advanced workflows that combine different asset types. Used together with an agent, for instance, Edify allows users to prototype a full scene in a couple of minutes with a simple text prompt — like in the NVIDIA Research SIGGRAPH demo that showcased the assistive 3D world-building capabilities of NVIDIA Edify-powered models and the NVIDIA Omniverse platform.
Another use case is to combine Edify 3D and 360 HDRi with Image to give users full control of image generation. By generating the scene in 3D, artists can move objects around and frame their desired shot — and then use Edify Image to turn the prototype into a photorealistic image.
Generative AI by Getty Images
Getty Images is one of the largest content service providers and suppliers of creative visuals, editorial photography, video and music — and is the one of the first places people turn to discover, purchase and share powerful visual content from the world’s best photographers and videographers.
Getty Images used NVIDIA AI Foundry to train an NVIDIA Edify Image model to power its generative AI service. Available through Generative AI by Getty Images for enterprises and Generative AI by iStock for small businesses and amateur creators, the service allows users to generate and modify images using models powered by NVIDIA Edify.
Generative AI by Getty Images (or iStock) offers a variety of licensed content.
Getty Images and iStock recently updated to the latest version of Edify Image, enabling faster generations and higher prompt adherence and exposing Camera Controls.
Updated camera controls in Generative AI by Getty Images.
Users can now also use the generative AI tools on preshot creative content, allowing them to edit and modify iStock’s library of visuals to rapidly iterate and perfect content. Those same capabilities will be soon available on Gettyimages.com.
Test drive Generative AI by Getty Images on ai.nvidia.com.
Generative AI is transforming gaming, videoconferencing and interactive experiences of all kinds. Make sense of what’s new and what’s next by subscribing to the AI Decoded newsletter.
Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems.
To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 24th year running, is now accepting applications worldwide.
It focuses on supporting students working in AI, machine learning, autonomous vehicles, computer graphics, robotics, healthcare, high-performance computing and related fields. Awards are up to $60,000 per student.
Since its start in 2002, the Graduate Fellowship Program has awarded 200 grants worth more than $6.5 million.
Students must have completed at least their first year of Ph.D.-level studies at the time of application.
The application deadline for the 2025-2026 academic year is Friday, Sept. 13, 2024. An in-person internship at an NVIDIA research office preceding the fellowship year is mandatory; eligible candidates must be available for the internship in summer 2025.
For more on eligibility and how to apply, visit the program website.
The State of California today announced a first-of-its-kind AI education initiative with NVIDIA.
The public-private collaboration supports the state’s goals in workforce training and economic development by giving universities, community colleges and adult education programs in California the resources to gain skills in generative AI.
“AI will continue to become more advanced and more prominent in all sectors, and California has the responsibility to support and prepare our students and faculties,” said Amy Tong, secretary of the California Government Operations Agency. “As a world leader in AI computing, NVIDIA is a natural partner to prepare the future of California’s workforce.”
“It’s always good to equip our professors and teachers because, as mentors to our youth, they are in the best position to help shape students’ career paths,” Tong said.
By empowering educators across the state with the skills to harness the latest AI technologies and NVIDIA GPUs, the initiative can prepare full-time students about to enter the workforce and it can train working professionals who are expanding their skills through community college or adult education courses.
“We want to train a workforce of the future, and also excite students and adults who are out of the workforce about opportunities for the future,” said Stewart Knox, secretary of the California Labor and Workforce Development Agency.
The state agencies are also exploring how internship and apprenticeship programs can offer students hands-on experience with AI skills.
Bolstering Efforts to Bridge the Digital Divide
NVIDIA is already working on multiple projects across California to make AI more accessible and understandable for students from a variety of backgrounds. The company’s educational initiatives and industry-spanning collaborations are helping students and professionals in biotechnology and life sciences, advanced manufacturing, media and entertainment, and other fields to gain proficiency in harnessing AI to support their work, enhance their productivity and drive innovation.
San José State University is evaluating how the NVIDIA Omniverse development platform could support the creation of digital twins — 3D virtual representations of real-world systems — for the city of San José. During the university’s annual Black Engineer Week in June, NVIDIA hosted dozens of students for a daylong program featuring tech demos and career advice discussions.
NVIDIA is embarking on several workforce, climate and community-based projects with schools in the University of California and California State University systems. One plans to train students on underwater data center technology, while another is working with California Black Media to train a large language model on nearly a century of journalism by Black journalists in the state.
The NVIDIA GTC AI conference, held earlier this year in San José, featured several sessions for educators to explore how to integrate generative AI and NVIDIA technologies into their curricula — as well as a panel discussion about the need for equitable access to AI education and resources.
Silicon Valley’s Figure has taken the wraps off of its next-generation Figure 02 conversational humanoid robot that taps into NVIDIA Omniverse and NVIDIA GPUs for fully autonomous tasks.
Figure said it recently tested Figure 02 for data collection and use-case training at BMW Group’s Spartanburg, South Carolina, production line.
Figure 02 comes just 10 months after Figure launched the first version of its general-purpose humanoid robot. The company has accelerated its development timeline using NVIDIA Isaac Sim — a reference application built on the NVIDIA Omniverse platform — to design, train and test AI-based robots using synthetic data, as well as NVIDIA GPUs to train generative AI models.
“Our rapid progress, marked by advances in speech, vision, dexterity and computational power, brings us closer to delivering humanoid robots to address labor shortages for many industries,” said Brett Adcock, CEO of Figure.
The company added a second NVIDIA RTX GPU-based module on board Figure 02, which supplies 3x inference gains for handling fully autonomous real-world AI tasks compared with the robot’s first iteration.
Figure aims to commercialize industrial humanoid robots to address labor shortages, and it plans to produce consumer versions.
Founded in 2022, the startup is partnered with OpenAI to develop custom AI models, trained on NVIDIA H100 GPUs, that drive the robots’ conversational AI capabilities. Figure recently raised $675 million in funding from leading technology companies including NVIDIA.
“Developing autonomous humanoid robots requires the fusion of three computers: NVIDIA DGX for AI training, NVIDIA Omniverse for simulation and NVIDIA Jetson in the robot,” said Deepu Talla, vice president of robotics and edge computing at NVIDIA. “Leading companies, including Figure, are tapping into the NVIDIA robotics stack, from edge to cloud, to drive innovation in humanoid robotics.”
Robotic Hands Capable of Handling Real-World Tasks
New human-scale hands, six RGB cameras, and perception AI models trained with synthetic data generated in Isaac Sim enable Figure 02 to perform high-precision pick-and-place tasks required for smart manufacturing applications.
This GFN Thursday marks 2,000 games in the GeForce NOW library, with five new games joining this week, alongside a demo for Square Enix’s Visions of Mana and a new reward for members playing Elder Scrolls Online.
From epic role-playing games (RPGs) to heart-pounding shooters, the GeForce NOW library offers a variety of adventures for members to dive into anytime, anywhere.
There’s more to come — the highly anticipated action RPG Black Myth: Wukong from Game Science will soon be available for members to stream when it comes to the cloud at launch on Tuesday, Aug. 20.
Plus, gamers looking to try GeForce NOW can lock in a one- or six-month Priority or Ultimate membership at half price with the limited-time summer sale.
More Choices Than a Buffet
GeForce NOW has achieved the remarkable milestone of over 2,000 games supported in the cloud.
They’re all playable across devices, including PCs, Macs, NVIDIA SHIELD TVs, select Samsung and LG Smart TVs, mobile devices and handheld consoles like the ROG Ally and Steam Deck. Visually stunning games like Cyberpunk 2077 and Alan Wake 2 can be played at max settings — all from the comfort of the couch or while on the go.
2,000 reasons to game on.
Thanks to collaborations with renowned publishers like Blizzard, Capcom, Epic Games and Square Enix, as well as indie studios including Coffee Stain Studios, Re-Logic and Team 17, GeForce NOW is opening the door for more gamers to enjoy incredible gaming experiences in new ways, streaming across their favorite devices.
Since GeForce NOW supports games that members already own, there’s no need to repurchase titles to enjoy them in the cloud. And features like game library-syncing with Steam and Ubisoft Connect make it seamless to jump into gameplay without the hassle of installation or updates.
2,000 games on GeForce NOW.
The GeForce NOW library continues to expand each week with titles from popular digital stores like Battle.net, Epic Games Store, GOG.com, Steam, Ubisoft Connect and Xbox, and supports over 120 PC Game Pass titles — so gear up and game on.
Khajiit Has Wares … in the Cloud
It’s not just a snack — it’s a statement.
It’s time for a new reward. GeForce NOW members playing Elder Scrolls Online can add a touch of sophistication to their journeys with a free Noble Snack emote, letting their character savor a regal treat in the heart of Tamriel.
Members who’ve opted in to GeForce NOW’s Rewards program can check their email for instructions on how to redeem the reward. Ultimate and Priority members can redeem the reward today, while free members can claim it starting on Friday, Aug. 9. It’s available through Sunday, Sept. 8 — first come, first served.
Here Come the Games
GeForce NOW members can today play a demo of Square Enix’s upcoming action RPG Visions of Mana before it launches in the cloud on Thursday, Aug. 29. Experience snippets of the story, the battles and the game’s focus on elemental powers — hallmarks of the Mana series. Though the title’s bonus items can’t be obtained through the demo in the cloud, members can get the items later by playing the full game when it launches on GeForce NOW.
Members can also look for the following this week:
Warhammer 40,000: Speed Freeks (New release on Steam, Aug. 6)
Prince of Persia: The Lost Crown (New release on Steam, Aug. 8)
Techbio is a field combining data, technology and biology to enhance scientific processes — and AI has the potential to supercharge the biopharmaceutical industry further. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Chris Gibson, cofounder and CEO of Recursion, about how the company uses AI and machine learning to accelerate drug discovery and development at scale. Tune in to hear Gibson discuss how AI is transforming the biopharmaceutical industry by increasing efficiency and lowering discovery costs.
0:58: Background on Recursion
6:23: Recursion’s approach to drug discovery
12:06: Empirical data generation and generative AI prediction
17:46: How supercomputing is accelerating drug discovery
22:32: What is techbio?
29:15: The future — using natural language prompts to work with AI systems
31:44: Recursion’s plans for future
Caristo Diagnostics has developed an AI-powered solution for detecting coronary inflammation in cardiac CT scans. Dr. Keith Channon, cofounder and chief medical officer of the company, discusses how Caristo uses AI to improve treatment plans and risk predictions by providing patient-specific readouts.
Clinician-led healthcare AI company Harrison.ai has built annalise.ai. This AI solution serves as a “spell checker” for radiologists — flagging critical findings to improve the speed and accuracy of radiology image analysis, reducing misdiagnoses. Harrison.ai CEO and cofounder Aengus Tran discusses the potential of autonomous AI systems to scale global healthcare capacity.
Matice Biosciences is using AI to study the regeneration of tissues in animal species known as super-regenerators, such as salamanders and planarians. Jessica Whited, a regenerative biologist at Harvard and cofounder of Matice Biosciences, discusses the company’s goal to harness regenerative species and AI to develop new treatments that help humans heal from injuries without scarring.
Artificial intelligence is teaming up with crowdsourcing to improve the thermo-stability of mRNA vaccines, making distribution more accessible worldwide. Bojan Tunguz, a physicist and senior system software engineer at NVIDIA, and Johnny Israeli, senior manager of AI and cloud software at NVIDIA, discuss the fusion of AI, crowdsourcing and machine learning and its potential in drug discovery.
Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC users.
AI powered by NVIDIA GPUs is accelerating nearly every industry, creating high demand for graduates, especially from STEM fields, who are proficient in using the technology. Millions of students worldwide are participating in university STEM programs to learn skills that will set them up for career success.
To prepare students for the future job market, NVIDIA has worked with top universities to develop a GPU-accelerated AI curriculum that’s now taught in more than 5,000 schools globally. Students can get a jumpstart outside of class with NVIDIA’s AI Learning Essentials, a set of resources that equips individuals with the necessary knowledge, skills and certifications for the rapidly evolving AI workforce.
NVIDIA GPUs — whether running in university data centers, GeForce RTX laptops or NVIDIA RTX workstations — are accelerating studies, helping enhance the learning experience and enabling students to gain hands-on experience with hardware used widely in real-world applications.
Supercharged AI Studies
NVIDIA provides several tools to help students accelerate their studies.
The RTX AI Toolkit is a powerful resource for students looking to develop and customize AI models for projects in computer science, data science, and other STEM fields. It allows students to train and fine-tune the latest generative AI models, including Gemma, Llama 3 and Phi 3, up to 30x faster — enabling them to iterate and innovate more efficiently, advancing their studies and research projects.
Students studying data science and economics can use NVIDIA RAPIDS AI and data science software libraries to run traditional machine learning models up to 25x faster than conventional methods, helping them handle large datasets more efficiently, perform complex analyses in record time and gain deeper insights from data.
AI-deal for Robotics, Architecture and Design
Students studying robotics can tap the NVIDIA Isaac platform for developing, testing and deploying AI-powered robotics applications. Powered by NVIDIA GPUs, the platform consists of NVIDIA-accelerated libraries, applications frameworks and AI models that supercharge the development of AI-powered robots like autonomous mobile robots, arms and manipulators, and humanoids.
While GPUs have long been used for 3D design, modeling and simulation, their role has significantly expanded with the advancement of AI. GPUs are today used to run AI models that dramatically accelerate rendering processes.
Some industry-standard design tools powered by NVIDIA GPUs and AI include:
SOLIDWORKS Visualize: This 3D computer-aided design rendering software uses NVIDIA Optix AI-powered denoising to produce high-quality ray-traced visuals, streamlining the design process by providing faster, more accurate visual feedback.
Blender: This popular 3D creation suite uses NVIDIA Optix AI-powered denoising to deliver stunning ray-traced visuals, significantly accelerating content creation workflows.
Enscape: Enscape makes it possible to ray trace more geometry at a higher resolution, at exactly the same frame rate. It uses DLSS to enhance real-time rendering capabilities, providing architects and designers with seamless, high-fidelity visual previews of their projects.
Beyond STEM
Students, hobbyists and aspiring artists use the NVIDIA Studio platform to supercharge their creative processes with RTX and AI. RTX GPUs power creative apps such as Adobe Creative Cloud, Autodesk, Unity and more, accelerating a variety of processes such as exporting videos and rendering art.
ChatRTX is a demo app that lets students create a personalized GPT large language model connected to their own content and study materials, including text, images or other data. Powered by advanced AI, ChatRTX functions like a personalized chatbot that can quickly provide students relevant answers to questions based on their connected content. The app runs locally on a Windows RTX PC or workstation, meaning students can get fast, secure results personalized to their needs.
NVIDIA ChatRTX user interface.
Schools are increasingly adopting remote learning as a teaching modality. NVIDIA Broadcast — a free application that delivers professional-level audio and video with AI-powered features on RTX PCs and workstations — integrates seamlessly with remote learning applications including BlueJeans, Discord, Google Meet, Microsoft Teams, Webex and Zoom. It uses AI to enhance remote learning experiences by removing background noise, improving image quality in low-light scenarios, and enabling background blur and background replacement.
NVIDIA RTX-powered mobile workstations and GeForce RTX and Studio RTX 40 Series laptops offer supercharged development, learning, gaming and creating experiences with AI-enabled tools and apps. They also include exclusive access to the NVIDIA Studio platform of creative tools and technologies, and Max-Q technologies that optimize battery life and acoustics — giving students an ideal platform for all aspects of campus life.
Say goodbye to late nights in the computer lab — GeForce RTX laptops and NVIDIA RTX workstations share the same architecture as the NVIDIA GPUs powering many university labs and data centers. That means students can study, create and play — all on the same PC.
STEM Application Performance for GeForce RTX 4060 Laptop GPU versus Laptop without GeForce RTX GPU.
NVIDIA GeForce NOW (@NVIDIAGFN) 
