Can AI guide us toward a more sustainable future, or is it exacerbating global energy and climate challenges? This critical question was recently posed to a panel of sustainability and AI experts from Columbia University, Deloitte, and the Wilson Center at NVIDIA GTC 2025. In a packed room moderated by Josh Parker, senior director of Corporate Sustainability at NVIDIA…
]]>A simple brain scan may soon be all that’s needed to accurately diagnose Parkinson’s disease, thanks to a new AI-powered tool. The advancement could help doctors expedite detection and treatment, getting patients the care they need and improving their quality of life. Developed by teams from the University of Florida (UF) and top-tier medical centers, the machine learning model analyzes MRI…
]]>From mitigating climate change to improving disaster response and environmental monitoring, AI is reshaping how we tackle critical global challenges. Advancements in fast, high-resolution climate forecasting, real-time monitoring, and digital twins are equipping scientists, policy-makers, and industry leaders with data-driven tools to understand, plan for, and respond to a warming planet.
]]>A new study and AI model from researchers at Stanford University is streamlining cancer diagnostics, treatment planning, and prognosis prediction. Named MUSK (Multimodal transformer with Unified maSKed modeling), the research aims to advance precision oncology, tailoring treatment plans to each patient based on their unique medical data. “Multimodal foundation models are a new frontier in…
]]>Rare diseases are difficult to diagnose due to limitations in traditional genomic sequencing. Wolfgang Pernice, assistant professor at Columbia University, is using AI-powered cellular profiling to bridge these gaps and advance personalized medicine. At NVIDIA GTC 2024, Pernice shared insights from his lab’s work with diseases like Charcot-Marie-Tooth (CMT) and mitochondrial disorders.
]]>An advanced deep-learning model that automates X-ray analysis for faster and more accurate assessments could transform spinal health diagnostics. Capable of handling even complex cases, the research promises to help doctors save time, reduce diagnostic errors, and improve treatment plans for patients with spinal conditions like scoliosis and kyphosis. “Although spinopelvic alignment analysis…
]]>AI-driven flood modeling and 3D visualization tools are transforming how communities prepare for and respond to climate risks. In this NVIDIA GTC 2024 session, Guy Schumann and Guillaume Gallion from RSS-Hydro explore how next-generation geospatial applications and high-fidelity visualizations, including NVIDIA Omniverse, can enhance disaster resilience by providing dynamic tools for decision…
]]>2024 was another landmark year for developers, researchers, and innovators working with NVIDIA technologies. From groundbreaking developments in AI inference to empowering open-source contributions, these blog posts highlight the breakthroughs that resonated most with our readers. NVIDIA NIM Offers Optimized Inference Microservices for Deploying AI Models at Scale Introduced in…
]]>Researchers from Weill Cornell Medicine have developed an AI-powered model that could help couples undergoing in vitro fertilization (IVF) and guide embryologists in selecting healthy embryos for implantation. Recently published in Nature Communications, the study presents the Blastocyst Evaluation Learning Algorithm (BELA). This state-of-the-art deep learning model evaluates embryo quality and…
]]>Christopher Bretherton, Senior Director of Climate Modeling at the Allen Institute for AI (AI2), highlights how AI is revolutionizing climate science. In this NVIDIA GTC 2024 session, Bretherton presents advancements in machine learning-based emulators for predicting regional climate changes and precipitation extremes. These tools accelerate climate modeling, making it faster, more efficient…
]]>Your eyes could hold the key to unlocking early detection of Alzheimer’s and dementia, with a groundbreaking AI study. Called Eye-AD, the deep learning framework analyzes high-resolution retinal images, identifying small changes in vascular layers linked to dementia that are often too subtle for human detection. The approach offers a rapid, non-invasive screening for cognitive decline…
]]>Dale Durran, a professor in the Atmospheric Sciences Department at the University of Washington, introduces a breakthrough deep learning model that combines atmospheric and oceanic data to set new climate and weather prediction accuracy standards. In this NVIDIA GTC 2024 session, Durran presents techniques that reduce reliance on traditional parameterizations, enabling the model to bypass…
]]>A new machine-learning algorithm that listens to digital heartbeat data could help veterinarians diagnose murmurs and early-stage heart disease in dogs. Developed by a team of researchers from the University of Cambridge, the study analyzes electronic stethoscope recordings to grade murmur intensity and diagnose the stage of myxomatous mitral valve disease (MMVD)—the most common form of heart…
]]>A new deep learning model could reduce the need for surgery when diagnosing whether cancer cells are spreading, including to nearby lymph nodes—also known as metastasis. Developed by researchers from the University of Texas Southwestern Medical Center, the AI tool analyzes time-series MRIs and clinical data to identify metastasis, providing crucial, noninvasive support for doctors in treatment…
]]>Robotics could make everyday life easier by taking on repetitive or time-consuming tasks. At NVIDIA GTC 2024, researchers from Stanford University unveiled BEHAVIOR-1K, a major benchmark designed to train robots to perform 1,000 real-world-inspired activities—such as folding laundry, cooking breakfast, and cleaning up after a party. Using OmniGibson, a cutting-edge simulation environment for…
]]>Pharmaceutical research demands fast, efficient simulations to predict how molecules interact, speeding up drug discovery. Jiqun Tu, a senior developer technology engineer at NVIDIA, and Ellery Russell, tech lead for the Desmond engine at Schrödinger, explore advanced GPU optimization techniques designed to accelerate molecular dynamics simulations. In this NVIDIA GTC 2024 session…
]]>New research from the University of Washington is refining AI weather models using deep learning for more accurate predictions and longer-term forecasts. The study, published in Geophysical Research Letters, shows how adjusting initial atmospheric data enables advanced AI models to extend current forecast limits. As extreme weather becomes increasingly more severe and frequent due to climate…
]]>As the demand for high-performance computing (HPC) and AI applications grows, so does the importance of energy efficiency. NVIDIA Principal Developer Technology Engineer, Alan Gray, shares insights on optimizing energy and power efficiency for various applications running on the latest NVIDIA technologies, including NVIDIA H100 Tensor Core GPUs and NVIDIA DGX A100 systems. Traditionally…
]]>Electric vehicle (EV) charging is getting a jolt with an innovative new AI algorithm that boosts efficiency, reduces cost, and keeps the grid from short-circuiting under pressure. Developed by a team of researchers from the Royal Military College of Canada (RMC), the real-time smart solution optimizes charging schedules for large parking lots, balancing quick charging with energy availability.
]]>A groundbreaking drug-repurposing AI model could bring new hope to doctors and patients trying to treat diseases with limited or no existing treatment options. Called TxGNN, this zero-shot tool helps doctors find new uses for existing drugs for conditions that might otherwise go untreated. The study, recently published in Nature Medicine and led by scientists from Harvard University…
]]>By 2030, John Deere aims for fully autonomous farming, addressing global challenges like labor shortages, sustainability, and food security. Their AI and robotics solutions make farming more efficient and profitable, reduce environmental impact, lower carbon footprints, and promote biodiversity. In this session, Chris Padwick, director of Machine Learning and Computer Vision at John Deere…
]]>Stephen Jones, a leading expert and distinguished NVIDIA CUDA architect, offers his guidance and insights with a deep dive into the complexities of mapping applications onto massively parallel machines. Going beyond the basics to explore the intricacies of GPU programming, he focuses on practical techniques such as parallel program design and specific details of GPU optimization for improving the…
]]>An AI-powered remote sensing study offers a dynamic new tool for global ocean cleanup efforts. Detailed in the ISPRS Journal of Photogrammetry and Remote Sensing, the breakthrough unveils MariNeXt, a deep-learning framework that detects and identifies marine pollution using high-resolution Sentinel-2 imagery. MariNeXt could revolutionize how resource managers and agencies globally monitor and…
]]>A recent study introduced a cutting-edge AI-powered pathology platform that can help doctors diagnose and evaluate lung cancer in patients quickly and accurately. Developed by a team of researchers at the University of Cologne’s Faculty of Medicine and University Hospital Cologne, the tool provides fully automated and in-depth analysis of benign and cancerous tissues, for faster and more…
]]>To fully harness the capabilities of NVIDIA GPUs, optimizing NVIDIA CUDA performance is essential, particularly for developers new to GPU programming. This talk is specifically designed for those stepping into the world of CUDA, providing a solid foundation in GPU architecture principles and optimization techniques. Athena Elafrou, a developer technology engineer at NVIDIA…
]]>Large language models (LLMs) are emerging as a tool for safeguarding critical infrastructure systems, such as renewable energy, healthcare, or transportation, according to a new study from the Massachusetts Institute of Technology (MIT). The research introduces a zero-shot LLM model that detects anomalies in complex data. Using AI-driven diagnostics for monitoring and flagging potential…
]]>As the use of large language models (LLMs) grows across many applications, such as chatbots and content creation, it’s important to understand the process of scaling and optimizing inference systems to make informed decisions about hardware and resources for LLM inference. In the following talk, Dmitry Mironov and Sergio Perez, senior deep learning solutions architects at NVIDIA…
]]>New research aims to revolutionize video accessibility for blind or low-vision (BLV) viewers with an AI-powered system that gives users the ability to explore content interactively. The innovative system, detailed in a recent paper, addresses significant gaps in conventional audio descriptions (AD), offering an enriched and immersive video viewing experience. “Although videos have become an…
]]>California beaches are becoming safer with a new AI-powered shark detection system. Known as SharkEye, the technology identifies sharks near shorelines in real time and sends text alerts to public safety officials, lifeguards, and the community. This innovative AI-driven system, developed by the Benioff Ocean Science Laboratory (BOSL) at the University of California, Santa Barbara…
]]>As we approach the end of another exciting year at NVIDIA, it’s time to look back at the most popular stories from the NVIDIA Technical Blog in 2023. Groundbreaking research and developments in fields such as generative AI, large language models (LLMs), high-performance computing (HPC), and robotics are leading the way in transformative AI solutions and capturing the interest of our readers.
]]>New research is boosting the creative potential of generative AI with a text-guided image-editing tool. The innovative study presents a framework using plug-and-play diffusion features (PnP DFs) that guides realistic and precise image generation. With this work, visual content creators can transform images into visuals with just a single prompt image and a few descriptive words.
]]>Marking a year of new and evolving technologies, 2022 produced wide-ranging advancements and AI-powered solutions across industries. These include boosting HPC and AI workload power, research breakthroughs, and new capabilities in 3D graphics, gaming, simulation, robotics, and more. In a record-breaking year, the NVIDIA Technical Blog published nearly 550 posts and received over 2 million…
]]>X-ray-powered research is aiming to target sneaky hazardous materials making their way through airport security. The study, recently published in Scientific Reports, proposes a new design for a fast and powerful X-ray diffraction (XRD) technology able to identify potential threats. The work could be a notable step toward more accurate luggage scanning in airports. “The main goal of my…
]]>Researchers from NYU Langone Health aim to improve breast cancer diagnostics with a new AI model. Recently published in Science Translational Medicine, the study outlines a deep learning framework that predicts breast cancer from MRIs as accurately as board-certified radiologists. The research could help create a foundational framework for implementing AI-based cancer diagnostic models in clinical…
]]>Doctors could soon evaluate Parkinson’s disease by having patients do one simple thing—sleep. A new study led by MIT researchers trains a neural network to analyze a person’s breathing patterns while sleeping and determine whether the subject has Parkinson’s. Recently published in Nature Medicine, the work could lead to earlier detection and treatment. “Our goal was to create a method for…
]]>Marine biologists have a new AI tool for monitoring and protecting coral reefs. The project—a collaboration between Google and Australia’s Commonwealth Scientific and Industrial Research Organization (CSIRO)—employs computer vision detection models to pinpoint damaging outbreaks of crown-of-thorns starfish (COTS) through a live camera feed. Keeping a closer eye on reefs helps scientists address…
]]>A recent study from researchers at ETH Zurich’s EcoVision Lab is the first to produce an interactive Global Canopy Height map. Using a newly developed deep learning algorithm that processes publicly available satellite images, the study could help scientists identify areas of ecosystem degradation and deforestation. The work could also guide sustainable forest management by identifying areas for…
]]>Our weekly roundup covers the most recent software updates, learning resources, events, and notable news. This week we have several software releases. Software releases The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and tools for developing accelerated HPC applications. With a breadth of flexible support options, users can create applications with a…
]]>Our weekly roundup covers the most recent software updates, learning resources, events, and notable news. Events Join developers and AI experts from the NVIDIA healthcare ecosystem for talks, demos, and hands-on workshops at GTC. Get the latest applications and frameworks advancing AI in healthcare, led by experts from NVIDIA and Quantiphi. The Healthcare and Life…
]]>Join us at GTC, March 21-24, to explore the latest technology and research across AI, computer vision, data science, robotics, and more! With over 900 options to choose from, our NVIDIA experts put together some can’t-miss sessions to help get you started: Preventing Cyberattacks using Automation and AI-based Security Dorit Dor, VP Products…
]]>Join us at GTC, March 21-24, to explore the latest technology and research across AI, computer vision, data science, robotics, and more! With over 900 options to choose from, our NVIDIA experts put together some can’t-miss sessions to help get you started: How to Design Collaborative AR and VR worlds in Omniverse Omer Shapira, Senior Engineer, Omniverse…
]]>Join us at GTC, March 21-24, to explore the latest technology and research across AI, computer vision, data science, robotics, and more! With over 900 options to choose from, our NVIDIA experts put together some can’t-miss sessions to help get you started: Creating the Future: Creating the World’s Largest Synthetic Object Recognition Dataset for Industry…
]]>Our weekly roundup covers the most recent software updates, learning resources, events, and notable news. Events At the Game Developer Conference, attendees will experience how the latest NVIDIA-powered solutions are enabling developers to create more realistic, immersive virtual worlds for players. Register online: NVIDIA at GDC Learning…
]]>Applying new technology to studying ancient history, researchers are looking to expand their understanding of dinosaurs with a new AI algorithm. The study, published in Frontiers in Earth Science, uses high-resolution Computed Tomography (CT) imaging combined with deep learning models to scan and evaluate dinosaur fossils. The research is a step toward creating a new tool that would vastly change…
]]>Gran Turismo (GT) Sport competitors are facing a new, AI-supercharged contender thanks to the latest collaborative effort from Sony AI, Sony Interactive Entertainment (SIE), and Polyphony Digital Inc., the developers behind GT Sport. The autonomous AI racing agent, known as Gran Turismo Sophy (GT Sophy), recently beat the world’s best drivers in GT Sport. Published in Nature…
]]>Our weekly roundup covers the most recent software updates, learning resources, events, and notable news. Events NVIDIA Jetson Developer Day is led by world-renowned experts in robotics, edge AI, and deep learning. This one-day event, at the start of GTC on Monday, March 21, gives a unique deep-dive into building next-gen AI-powered applications and autonomous…
]]>Our weekly roundup covers the most recent software updates, learning resources, events, and notable news. Software releases The redesigned nvCOMP 2.2.0 interface provides a single nvcompManagerBase object that can do compression and decompression. Users can now decompress nvcomp-compressed files without knowing how they were compressed. The interface also can…
]]>Powerful airborne sensors could be key in helping farmers sustainably manage maize across the US Corn Belt, according to a University of Illinois research team. The study, which employs remote sensors combined with newly developed deep learning models, gives an accurate and speedy prediction of crop nitrogen, chlorophyll, and photosynthetic capacity. Published in the International Journal of…
]]>In a medical first, a robot has performed a laparoscopic operation without the guidance of a surgeon’s hand. The study, recently published in Science Robotics, outlines the design of an enhanced version of the Smart Tissue Autonomous Robot (STAR) that completed the challenging task on the soft tissue of a pig. The accomplishment marks a milestone toward fully automated robotic surgeries.
]]>A recently developed AI platform is giving medical professionals screening for breast cancer a new, transparent tool for evaluating mammography scans. The research, creates an AI model that evaluates the scans and highlights parts of an image the algorithm finds relevant. The work could help medical professionals determine whether a patient needs an invasive—and often nerve-wracking—biopsy.
]]>New weather-forecasting research using AI is fast-tracking global weather predictions. The study, recently published in the Journal of Advances in Modeling Earth Systems, could help identify potential extreme weather 2–6 weeks into the future. Accurate predictions of extreme weather with a longer lead time give communities and critical sectors such as public health, water management, energy…
]]>Spotting painting forgeries just became a bit easier with a newly developed AI tool that picks up style differences with precision down to a single paintbrush bristle. The research, from a team at Case Western Reserve University (CWRU), trained convolutional neural networks to learn and identify a painter based on the 3D topography of a painting. This work could help historians and art experts…
]]>A team of researchers from Princeton and the University of Washington created a new camera that captures stunning images and measures in at only a half-millimeter—the size of a coarse grain of salt. The new study, published in Nature Communications, outlines the use of optical metasurfaces with machine learning to produce high-quality color imagery, with a wide field of view.
]]>Researchers at Los Alamos National Laboratory in New Mexico are working toward earthquake detection with a new machine learning algorithm capable of global monitoring. The study uses Interferometric Synthetic Aperture Radar (InSAR) satellite data to detect slow-slip earthquakes. The work will help scientists gain a deeper understanding of the interplay between slow and fast earthquakes…
]]>Mount Sinai researchers have created a new AI technology that can identify small changes within the heart, and accurately predict heart failure. Recently published in the Journal of the American College of Cardiology: Cardiovascular Imaging, the research could lead to faster diagnosis and earlier detection of congestive heart failure—helping doctors treat patients more effectively and slow disease…
]]>You may soon be able to see how future flooding could hit your city with a newly developed AI model. The study, from a team of Canadian and U.S. researchers, uses generative adversarial networks (GANs) to produce realistic images of climate change-induced flooding. Named ClimateGAN, the team developed the model to underscore the destruction of extreme weather events and prompt collective action…
]]>A new study out of the Massachusetts Institute of Technology (MIT) could arm healthcare workers with the information needed to effectively treat COVID-19 patients. Recently published in the Proceedings of the National Academy of Sciences, the research develops a deep learning model that determines the best drug combinations for fighting the virus, despite having relatively limited data.
]]>Wildfire evacuees and disaster response groups could soon have the power to remotely scan a town for structural damage within minutes, using the newly developed AI tool DamageMap. A collaboration between researchers at Stanford University and California Polytechnic State University, San Luis Obispo—the project uses aerial imagery and a deep learning algorithm to pinpoint building damage after…
]]>A new AI-mapping tool is helping scientists assess how cities across the globe are using rooftops to combat climate change. Named Roofpedia, the research creates an open-source and scalable map of sustainable rooftops—a promising strategy for climate mitigation. Identifying areas with solar or green installations could help guide urban development, while also boosting community health, prosperity…
]]>New research from a group of scientists at UC Berkeley is giving data-poor regions across the globe the power to analyze data-rich satellite imagery. The study, published in Nature Communications, introduces a machine learning model that resource-constrained organizations and researchers can use to draw out regional socioeconomic and environmental information. Being able to evaluate local…
]]>Deep learning is proving to be a powerful tool when it comes to high-quality synthetic speech development and customization. A Toronto-based startup, and NVIDIA Inception member, Resemble AI is upping the stakes with a new generative voice tool able to create high-quality synthetic AI Voices. The technology can generate cross-lingual and naturally speaking voices in over 50 of the most…
]]>Combining a deep learning model with computer vision, Revery.ai is improving the online dressing room experience for both retailers and consumers. Creating a tool that uses existing shop catalog images to build a scalable virtual dressing room, the technology gives shoppers the power to try on a store’s entire inventory without leaving the house. “The inspiration for creating Revery was…
]]>Using a newly developed AI algorithm, researchers from the University of Texas Southwestern Medical Center are making early detection of aggressive forms of skin cancer possible. The study, recently published in Cell Systems, creates a deep learning model capable of predicting if melanoma will aggressively spread, by examining cell features undetectable to the human eye. “We now have a…
]]>The NGC team is hosting a webinar with live Q&A to dive into how to build AI models using PyTorch Lightning, an AI framework built on top of PyTorch, from the NGC catalog. Simplify and Accelerate AI Model Development with PyTorch Lightning, NGC, and AWS September 2 at 10 a.m. PT Organizations across industries are using AI to help build better products, streamline operations…
]]>‘Meet the Researcher’ is a series spotlighting researchers in academia who use NVIDIA technologies to accelerate their work. This month’s spotlight features Peerapon Vateekul, assistant professor at the Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University (CU), Thailand. Vateekul drives collaboration activities between CU and the NVIDIA AI Technology Center…
]]>The NGC team is hosting a webinar with live Q&A to dive into how to build AI models using PyTorch Lightning, an AI framework built on top of PyTorch, from the NGC catalog. Simplify and Accelerate AI Model Development with PyTorch Lightning, NGC, and AWS September 2 at 10 a.m. PT Organizations across industries are using AI to help build better products, streamline operations…
]]>Looking to reveal secrets of days past, historical scholars across the globe spend their life’s work translating ancient manuscripts. A team at the University of Notre Dame looks to help in this quest, with a newly developed machine learning model for translating and recording handwritten documents centuries old. Using digitized manuscripts from the Abbey Library of Saint Gall…
]]>Scientists searching the universe for gravitational waves just got a boost thanks to a new study and AI. The research, recently published in Nature Astronomy, creates a deployable AI framework for detecting gravitational waves within massive amounts of data—at several magnitudes faster than real time. Created by a group of scientists from Argonne National Laboratory, the University of Chicago…
]]>The NGC team is hosting a webinar and live Q&A. Topics include how to use containers from the NGC catalog deployed from Google Cloud Marketplace to GKE, a managed Kubernetes service on Google Cloud, that easily builds, deploys, and runs AI solutions. Building a Computer Vision Service Using NVIDIA NGC and Google Cloud August 25 at 10 a.m. PT Organizations are using computer vision to…
]]>A team of scientists from Argonne National Laboratory developed a new method for turning X-ray data into visible, 3D images with the help of AI. The study, published in Applied Physics Reviews, develops a computational framework capable of taking data from the lab’s Advanced Photon Source (APS) and creating 3D visualizations hundreds of times faster than traditional methods. “In order to make…
]]>Relying on the capabilities of GPUs, a team from Facebook AI Research has developed a faster, more efficient way for AI to run similarity searches. The study, published in IEEE Transactions on Big Data, creates a deep learning algorithm capable of handling and comparing high-dimensional data from media that is notably faster, while just as accurate as previous techniques. In a world with an…
]]>Solving a mystery that stumped scientists for decades, last November a group of computational biologists from Alphabet’s DeepMind used AI to predict a protein’s structure from its amino acid sequence. Not even a year later, a new study offers a more powerful model, capable of computing protein structures in as little as 10 minutes, on one gaming computer. The research…
]]>New research out of the University of California, San Francisco has given a paralyzed man the ability to communicate by translating his brain signals into computer generated writing. The study, published in The New England Journal of Medicine, marks a significant milestone toward restoring communication for people who have lost the ability to speak. “To our knowledge, this is the first…
]]>Targeting areas populated with disease-carrying mosquitoes just got easier thanks to a new study. The research, recently published in IEEE Explore, uses deep learning to recognize tiger mosquitoes with near perfect accuracy from images taken by citizen scientists . “Identifying the mosquitoes is fundamental, as the diseases they transmit continue to be a major public health issue…
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