XNAT, one of the most widely-used open-source informatics platforms for imaging research, announced the general release of XNAT 1.8 on March 10. Building on the announcement of XNAT ML Beta in the summer of 2020, XNAT will accelerate the creation of AI models by providing an end-to-end development platform, enabling faster collaborations between data science and clinical teams. XNAT…
]]>To improve brain simulation technology, a team of researchers from the University of Sussex developed a GPU-accelerated approach that can generate brain simulation models of almost-unlimited size. Researchers Dr. James Knight and Thomas Nowotny from the University of Sussex’s School of Engineering and Informatics detailed the work in a paper published in Nature Computational Science journal.
]]>To measure the impact of outdoor advertising, Brazil-based DataVisiooh, a member of NVIDIA Inception, developed an AI solution to capture performance analytics in real-time. “Our platform goes beyond simply counting the flow of people and vehicles and shows advanced data such as demographic information (gender, age group), screen viewing time, exposure time, and even how many people looked at…
]]>NVIDIA Omniverse is bringing the new standard in real-time graphics for developers. Teams across industries are now using the open, cloud-native platform to deliver new levels of virtual collaboration and photorealistic simulation to their projects. And with open beta availability recently announced, more developers around the world can experience Omniverse and explore ways to integrate…
]]>JetPack SDK 4.5 is now available. This production release features enhanced secure boot, disk encryption, a new way to flash Jetson devices through Network File System, and the first production release of Vision Programming Interface. For AI embedded and edge developers, the latest update for NVIDIA JetPack is available. It includes the first production release of Vision Programming Interface…
]]>Image segmentation and recommender system Jupyter notebooks are now available in the NGC catalog. These Jupyter notebooks come with complete instructions on how to train these models using the resources from the NGC catalog. Upcoming Webinars The NVIDIA NGC team is hosting two webinars with live Q&A to dive into two new Jupyter notebooks available from the NGC catalog. Learn how to use…
]]>Thirteen-year-old Adrit Rao, was awarded the Jetson Project of the Month for his Blink Detection and Reminder (Blinkr). The project, which runs on a NVIDIA Jetson Nano 2GB Developer Kit, monitors the eyes of the user and voices a prompt when their blink rate is less than the recommended rate of 10 blinks per minute. Several studies have shown that low eye blinking rate…
]]>NVIDIA PhysicsNeMo was previously known as NVIDIA SimNet. Simulations are prevalent in science and engineering fields and have been recently advanced by physics-driven AI. Join this webinar to learn how NVIDIA PhysicsNeMo addresses a wide range of use cases involving coupled forward simulations without any training data, as well as inverse and data assimilation problems.
]]>Enterprises across industries are adopting AI to drive business growth and they’re relying on cloud infrastructure to develop and deploy their solutions. To help data scientists and developers simplify their AI workflows, we have collaborated with Amazon Web Services (AWS) to bring NVIDIA NGC software resources directly to the AWS Marketplace. The AWS Marketplace is where customers find…
]]>Kick off 2021 with a listen to the newest episode of RAPIDSFire: the Accelerated Data Science Podcast! Host Paul Mahler sits down with AI Infrastructure Manager at NVIDIA, Bartley Richardson, and Senior Cybersecurity Data Scientist at NVIDIA, Rachel Allen. In this episode, they discuss the intersection of Data Science and Cybersecurity, specifically, how NVIDIA GPUs are helping solve…
]]>Viet Anh Nguyen was awarded the Jetson Project of the Month for his Advanced Driver Assistance System (ADAS). This prototype, which runs on a NVIDIA Jetson Nano, aids a driver with collision, lane departure and speeding warnings. Viet Anh’s goal is to serve the low-end and older car models with his solution. He chose Jetson Nano for its affordability and its capability to run deep learning…
]]>NVIDIA CloudXR Release 2.0 is now available. With NVIDIA CloudXR, users don’t need to be physically tethered to a high-performance computer to drive rich, immersive environments. The CloudXR SDK runs on NVIDIA servers located in the cloud, edge or on-premises, delivering the advanced graphics performance needed for wireless virtual, augmented or mixed reality environments — collectively known as…
]]>In a keynote released this week for a virtual GTC China event, NVIDIA’s chief scientist Bill Dally described how his team is driving an annual doubling of AI performance. Dally delves into NVIDIA’s domain-specific platforms for a variety of industries such as healthcare, self-driving cars and robotics. The keynote is just one of more than 220 sessions at GTC China.
]]>‘Meet the Researcher’ is a new series in which we spotlight different researchers in academia who are using GPUs to accelerate their work. This month we spotlight Rommie Amaro, professor and endowed chair in the Department of Chemistry and Biochemistry at the University of California, San Diego. Amaro is also the principal investigator of the Amaro Lab, which is broadly concerned with the…
]]>For several years, NVIDIA’s research teams have been working to leverage GPU technology to accelerate reinforcement learning (RL). As a result of this promising research, NVIDIA is pleased to announce a preview release of Isaac Gym – NVIDIA’s physics simulation environment for reinforcement learning research. RL-based training is now more accessible as tasks that once required thousands of CPU…
]]>NVIDIA recently announced the release of PhysicsNeMo v20.12 with support for new physics such as fluid mechanics, linear elasticity and conductive as well as convective heat transfer. Systems governed by ordinary differential equations (ODEs) as well as partial differential equations (PDEs) can now be solved. Previously announced in September, NVIDIA PhysicsNeMo is a physics-informed neural…
]]>The 2020.3 release of NVIDIA Nsight Compute included in CUDA Toolkit 11.2 introduces several new features that simplify the process of CUDA kernel profiling and optimization. The new Profile Series feature enables you to configure ranges for multiple kernel parameters. Nsight Compute automatically iterates through the ranges and profiles each combination to help you find the best…
]]>CUDA Toolkit is a complete, fully-featured software development platform for building GPU-accelerated applications, providing all the components needed to develop apps targeting every NVIDIA GPU platform. CUDA 11 announced support for the new NVIDIA A100 based on the NVIDIA Ampere architecture, and CUDA 11.1 delivered support for NVIDIA GeForce RTX 30 Series and Quadro RTX Series GPU…
]]>At GTC China, NVIDIA announced that Tencent Cloud demonstrated CloudXR streaming an immersive high-rise office building. NVIDIA CloudXR platform uses Tencent Cloud’s stable and efficient cloud GPU computing power to turn any end device, including head-mounted displays (HMD) and connected Windows and Android devices, into a high-fidelity XR display that can showcase professional-quality graphics.
]]>The latest update the NVIDIA HPC SDK is now available for download. The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and tools enabling HPC developers to program the entire HPC platform from the GPU foundation to the CPU, and through the interconnect. It is the only comprehensive, integrated SDK for programming accelerated computing systems. The NVIDIA HPC SDK C++ and…
]]>To help AI research like this make the leap from academia to commercial or government deployment, NVIDIA today announced the Applied Research Accelerator Program. The program supports applied research on NVIDIA platforms for GPU-accelerated application deployments.
]]>libcu++, the NVIDIA C++ Standard Library, provides a C++ Standard Library for your entire system which can be used in and between CPU and GPU codes. The NVIDIA C++ Standard Library is an open source project. Version 1.4.0 of libcu++ is a major release providing several feature enhancements and bug fixes. It adds support for the following: , NVCC + MSVC support for , and backports of C++20…
]]>As AI becomes universal, enterprise leaders are looking to empower their AI teams with fully integrated and automated development environments. Determined AI’s application available in the NVIDIA NGC catalog, a GPU-optimized hub for AI applications, provides an open-source platform that enables deep learning engineers to focus on building models and not managing infrastructure.
]]>Thrust 1.11.0 is a major release providing bug fixes and performance enhancements. It includes a new sort algorithm that provides up to 2x more performance from thrust::sort when used with certain key types and hardware. The new thrust::shuffle algorithm has been tweaked to improve the randomness of the output. CUB 1.11.0 is a major release providing bug fixes and performance enhancements.
]]>Researchers, developers, and engineers from all over the world are gathering virtually this year for the 2020 Neural Information Processing Systems (NeurlPS). NVIDIA Research will present its research through spotlight and posters. NVIDIA’s accepted papers at this year’s online NeurIPS feature a range of groundbreaking research in the ?eld of neural information processing systems.
]]>Our GTC Fall 2020 virtual event featured a record breaking number of sessions, podcasts, demos, research posters, and more. We are now opening access to all the great content shared at the conference through the new NVIDIA On-Demand catalog. Learn more about breakthrough NVIDIA technologies and dive into our expansive selection of graphics and simulation sessions. The launch of our…
]]>NVIDIA announces the release of Isaac SDK 2020.2, an update that packs an essential set of robot tools and added capabilities for intralogistics applications. Developers will experience greater support from both our deeper software integration with Isaac Sim built on the Omniverse platform and hardware support from our partner ecosystem. This customer feedback-focused update to NVIDIA Isaac…
]]>Dan Jia, Alexander Hermans, and Bastian Leibe of RWTH Aachen University were awarded the Jetson Project of the Month for DR-SPAAM Detector. The Distance Robust Spatial Attention and Auto-regressive Model (DR-SPAAM), which runs on a Jetson AGX Xavier, is a deep learning model for detecting persons in 2D range sequences from a laser scanner. Sensors such as RGB(-D) cameras and lidars or a…
]]>Deep learning work is iterative, experimental, and often time consuming for new and established machine learning practitioners, data scientists, and engineers. Yet, when deep learning is applied to certain application domains, like recommenders, industry members have the potential to provide better predictions at scale over existing commercial recommenders. As recommenders impact daily…
]]>Artificial intelligence (AI) is taking the automotive industry by storm. AI-powered robotaxis are expected to create a $2 trillion market worldwide by 2030, according to global financial services firm UBS. One of the most prominent ways AI is revolutionizing the industry is the development of autonomous driving technology. Self-driving cars use camera-based machine vision systems and radar…
]]>Medical device algorithm research and development has always required a specialized PC with high-end compute power to explore the most advanced algorithms. The invention of the parallel computing platform and programming model CUDA has driven the integration of NVIDIA GPUs in many medical devices, medical instruments, and models. This has enabled software development cycles for high…
]]>Recently, NVIDIA CEO Jensen Huang announced NVIDIA Merlin, an end-to-end deep learning recommender framework, entered open beta during his GTC Keynote. When data scientists and machine learning engineers seek to build and scale their recommenders, they often face challenges with feature engineering, preprocessing, training, and performance. Merlin is designed to address these challenges and…
]]>Lidars and cameras alone aren’t enough to put self-driving into action. Sensor diversity is a cornerstone of autonomous driving. However, it only works if every sensor is in alignment. The NVIDIA DriveWorks SDK makes it possible to perform sensor calibration both offline, before the vehicle hits the road, and while the vehicle is driving with self-calibration. Developers can learn how to use…
]]>NVIDIA unveiled the NVIDIA A100 80GB GPU, providing researchers and engineers unprecedented speed and performance to unlock the next wave of AI and scientific breakthroughs.
]]>Deepgram, an NVIDIA Inception startup developing automatic speech recognition (ASR) deep learning models, recently published a new demo that highlights the speed and scalability of its platform on NVIDIA GPUs. “We’ve reinvented Automatic Speech Recognition (ASR) with a complete, deep learning model that allows companies to get faster, more accurate transcription, resulting in more reliable…
]]>In episode two of the Grandmaster Series, learn how participating members of the Kaggle Grandmasters of NVIDIA (KGMON) built large-scale image classification models to win the Google Landmark Recognition 2020 Kaggle competition. In this landmark recognition challenge, the team had to build models that recognize the correct landmark (if any) in a dataset of complicated test images.
]]>To help aspiring baseball players analyze and improve their technique, NVIDIA Inception member wrnch, in collaboration with ProPlayAI, developed a GPU-powered biomechanics app for pitchers. The app is designed to help people stay fit, improve performance, and coach players on the technical details. “Our approach allows athletes to perfect their pitching mechanics, even when they cannot…
]]>NVIDIA recently released Clara Train 3.1 for healthcare developers to collaborate on secure, enterprise-grade AI models. Building robust AI can be a challenge for healthcare organizations due to the massive amounts of data required to produce reliable algorithms. With Clara Train, organizations can share and combine their local knowledge to create global models without compromising privacy.
]]>RAPIDS aims to democratize accelerated data science through accessibility and innovation. The most recent release reflects major strides in these efforts through integrations with TPOT, a popular tool for AutoML, and innovations in SHAP, a method for providing deep interpretability to machine learning. AutoML makes machine learning accessible for non-experts and improves the efficiency of…
]]>SONiC (Software for Open Networking in the Cloud) is a Linux-based, open network operating system that has been hardened in the data centers of some of the largest cloud-service providers. SONiC was initiated by Microsoft in 2016 and contributed to the Open Compute Project (OCP) a year later and continues to gain strong momentum with Hyperscalers and Tier 2 Enterprises that want to emulate…
]]>‘Meet the Researcher’ is a new series in which we spotlight different researchers in academia who are using GPUs to accelerate their work. This week, we spotlight Dr. John Garrett, an Assistant Professor in the Departments of Radiology and Medical Physics and the Director of Imaging Informatics for the Department of Radiology at the University of Wisconsin-Madison. Dr.
]]>NVIDIA is working closely with a wide range of organizations and researchers to help accelerate the creation of treatments and therapeutics for COVID-19. Identifying how and where the virus binds can help to disrupt this propagation chain. Numerical simulations can help researchers understand these processes, but the scale of the problem is enormous, keeping even the largest supercomputers busy.
]]>Climate simulations are among the most challenging problems in scientific computing due to their size and complexity. They produce large amounts of inherently 3D data, and yet the analysis is often limited to 2D projections. Visualization is an incredibly useful tool that allows us to find patterns and trends and extract meaningful insights from massive datasets. Seeing the data in ways we…
]]>Many system administrators use environment modules to manage software deployments. The advantages of environment modules are that they allow you to load and unload software configurations dynamically in a clean fashion, while providing end users with the best experience when it comes deploying applications. However, robustly supporting HPC and deep learning applications with complex…
]]>NVIDIA PhysicsNeMo was previously known as NVIDIA SimNet. NVIDIA PhysicsNeMo is a GPU-accelerated simulation toolkit based on physics-informed neural networks (PINNs). At SC19, we showed how PhysicsNeMo could interactively explore the pressure drop and temperature variations in different heatsink designs to quickly converge on an optimal design. Since then…
]]>NVIDIA Mellanox UFM (Unified Fabric Manager) Cyber AI – an advanced InfiniBand system powered by deep learning that can proactively predict failures in data centers. By combining rich telemetry information from network adapters, switches, cables and other components with deep learning algorithms — in real-time — Cyber AI can empower IT managers to take action to address these problems before they…
]]>Today’s modern-day machine learning data centers require complex computations and fast, efficient data delivery. The NVIDIA Mellanox Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) takes advantage of the in-network computing capabilities in the NVIDIA Mellanox Quantum switch, dramatically improving the performance of distributed machine learning workloads.
]]>NVIDIA Nsight Compute: Roofline and NVIDIA Ampere GPU Architecture Analysis This demo shows the latest CUDA kernel analysis capabilities in NVIDIA Nsight Compute, including the popular Roofline Analysis Method and a new feature for the NVIDIA Ampere GPU Architecture. Specifically, we’ll demonstrate profiling the hardware-supported asynchronous data copy feature, which can boost the performance…
]]>Many GPU-accelerated HPC applications spend a substantial portion of their time in non-uniform, GPU-to-GPU communications, resulting in an increased solution times. To ensure that GPU-to-GPU communication is as efficient as possible for HPC applications with non-uniform communication, it is crucial that these applications make informed decisions when assigning MPI processes to GPUs…
]]>Join us online at Supercomputing 2020 (SC20) to see how GPU computing and high-performance networking are transforming computational science and AI. We’re featuring our own virtual theater with speakers from various leading industries and domains, along with demos, related content, and more. Tune in to these short, on-demand sessions to hear from industry leaders, scientists…
]]>One of the best ways you can differentiate yourself, advance your work, and further your career is to interact and share your work with a wider community of developers, engineers, and innovators. Presenting your work to others can bring a fresh perspective, open doors to new opportunities, expand your network, and be a fulfilling experience. NVIDIA’s GPU Technology Conference (GTC) brings…
]]>The NVIDIA Deep Learning Institute (DLI) has launched two new self-paced courses giving accelerated computing enthusiasts hands-on training on how to scale workloads across multiple GPUs with CUDA C++ and accelerate CUDA C++ applications with concurrent streams. Each course will give you access to a GPU-accelerated server in the cloud and the opportunity to earn an NVIDIA DLI certificate to…
]]>By Andrew Burnes Justice, NetEase’s martial arts MMO, leads the way in its native China, with engrossing gameplay, a robust player base, and a continually-upgraded internally-developed engine called Night Blaze that’s at the forefront of tech. In 2018, Justice’s Night Blaze engine added real-time ray-traced reflections, shadows and caustics, and NVIDIA DLSS. And now…
]]>NVIDIA IndeX, a 3D volumetric interactive visualization framework that allows scientists and researchers to visualize and interact with massive high performance computing (HPC) datasets, is now on the AWS cloud. Available as a custom Amazon Machine Image (AMI) from the AWS Marketplace, the NVIDIA IndeX SDK enables you to modify massive data sets and navigate to the most pertinent parts of the…
]]>The trio of Luis Oliver, Victor Izquierdo and Alejandro Gutiérrez won the Jetson Project of the Month for their Drowsiness, Blindspot and Emotion Monitor (DBSE). This project, powered by NVIDIA Jetson Nano, is an in-car assistance system that alerts the driver if they’re drowsy or distracted and notifies them about objects in their blindspot. The functionality of the system is divided among…
]]>‘Meet the Researcher’ is a monthly series in which we spotlight different researchers in academia who are using NVIDIA technology to accelerate their work. This month, we spotlight Gregory A. Voth, Distinguished Professor at the Department of Chemistry, The University of Chicago. Voth received a Ph.D. in Theoretical Chemistry from the California Institute of Technology in 1987 and was an IBM…
]]>By Meg Risdal, Kaggle Product Manager at Google. Engineers and designers at Kaggle work hard behind the scenes to make it easy for our 5 million data scientist users to focus on learning and improving their deep learning models instead of ML ops like environment setup and resource provisioning. Kaggle’s community comes to the platform to learn and apply their skills in machine learning…
]]>Three trends continue to drive the AI inference market for both training and inference: growing data sets, increasingly complex and diverse networks, and real-time AI services. MLPerf Inference 0.7, the most recent version of the industry-standard AI benchmark, addresses these three trends, giving developers and organizations useful data to inform platform choices, both in the datacenter and at…
]]>NASA scientists and collaborators have achieved a supercomputing and AI breakthrough, a deep learning model that has the potential, with some limitations, to map the location and size of every tree worldwide. The new model, described in a new Nature paper, lays the foundation for a more accurate global measure of carbon storage on land. In this particular study, the team counted over 1.8…
]]>Computationally-intensive CUDA C++ applications in high performance computing, data science, bioinformatics, and deep learning can be accelerated by using multiple GPUs, which can increase throughput and/or decrease your total runtime. When combined with the concurrent overlap of computation and memory transfers, computation can be scaled across multiple GPUs without increasing the cost of…
]]>Recently we announced the launch of collections as a key feature of the NGC catalog. There we have curated relevant containers, models, code, and helm charts in one place, without having to locate and coordinate various individual building blocks across the catalog. NGC collections span different use cases, ranging from object detection to natural language processing. We are excited to…
]]>Facebook AI this week announced they are open sourcing a deep learning model called M2M-100 that can translate any language pair, among 100 languages, without relying on English data. For example, when translating from Chinese to French, previous models would train on Chinese to English to French. M2M-100 directly trains on Chinese to French to better preserve meaning. “Deploying M2M-100 will…
]]>The NVIDIA DriveWorks SDK middleware framework contains everything needed to work on autonomous vehicle software. It also includes everything needed to check that work. The SDK provides a complete set of tools and APIs to quickly get started with recording and replaying data, freeing up valuable development time. Developers can learn how to use these capabilities in an expert-led webinar on…
]]>In episode one of the Grandmaster Series you’ll learn from three members of the Kaggle Grandmasters of NVIDIA (KGMON) team Chris Deotte, Bo Liu, and Gilberto Titericz. Watch the video below to learn how they built the winning ML model for the SIIM-ISIC Melanoma Classification Kaggle competition. In this competition, the team had to create ML models to identify skin lesions from…
]]>Learn what’s new in the latest releases of NVIDIA CUDA-X AI libraries and the NGC catalog. For more information, see the package release notes. NVIDIA Triton Inference Server (formerly NVIDIA TensorRT Inference Server) simplifies the deployment of AI models at scale in production. It is an open source inference serving software that lets teams deploy trained AI models from any framework…
]]>‘Meet the Researcher’ is a series in which we feature different researchers in academia who are using GPUs to accelerate their work. This month we spotlight Alina Zare who conducts research and teaches in the areas of machine learning, artificial intelligence, computer vision and image analysis, and remote sensing. Zare directs the Machine Learning and Sensing Lab at the University of…
]]>NVIDIA this week announced that the Italian inter-university consortium CINECA — one of the world’s most important supercomputing centers — will use the company’s accelerated computing platform to build the world’s fastest AI supercomputer. The new “Leonardo” system, built with Atos, is expected to deliver 10 exaflops of FP16 AI performance to enable advanced AI and HPC converged application…
]]>NVIDIA recently reached the 2 million registered developers milestone. To help commemorate the milestone, artist Pindar Van Arman this week at GTC painted a unique portrait of the NVIDIA Developer community. Using portraits submitted at the recent GTC AI Art Gallery, Pindar enlisted the help of an AI-painting robot to complete the job. The robot was trained for the final painting by…
]]>Nvidia is now offering precompiled drivers that are tested and packaged for targeted kernel versions. Precompiled drivers enable faster, seamless installation and driver updates, faster boot-up, and have reduced dependencies on external tools and repositories. Developers can now take advantage of NVIDIA precompiled drivers quite easily, using our kernel module (kmod) packages and modularity…
]]>This week at GTC 2020, synthetic biology startup Synvivia showcased protein switches being developed to control engineered organisms and aid in drug discovery for COVID-19. The full session is available in the GTC catalog to view on-demand. Synvivia uses GPU-accelerated molecular dynamics simulations to design protein molecule interactions and was able to observe potential additive effects of…
]]>NVIDIA OptiX is an API for optimal ray tracing performance on the GPU that is used for film and video production as well as many other professional graphics applications. OptiX SDK 7.2 is the latest update to the new OptiX 7 API. This version introduces API changes to the OptiX denoiser to support layered AOV denoising, a new library for demand loading sparse textures…
]]>The nexus of 5G, IoT, and edge computing is turbocharging network performance. NVIDIA is working with the world’s leading telecommunications companies to build software-defined infrastructure that can meet the demand for real-time data processing at the edge for a variety of smart services. Today, we announced the first NVIDIA Aerial Developer Kit. Designed to jump start the execution of 5G…
]]>Machine learning workflows require iteration and experimentation. Improvements in performance, particularly speed, provides the opportunity to run additional experiments within a day, week, or month. The ability to increase iteration and experimentation potentially leads to improved models and impactful insights. Training benchmarks suites from industry consortiums, including MLPerf Training…
]]>NVIDIA CEO Jensen Huang Monday kicked off this week’s GPU Technology Conference. Huang made major announcements in data centers, edge AI, collaboration tools and healthcare in a talk simultaneously released in nine episodes, each under 10 minutes. The announcements touch on everything from healthcare to robotics to videoconferencing, Huang’s underlying story was simple: AI is changing…
]]>We first told you about their work in 2019 when they recreated a lost Picasso painting. Now as part of the GTC AI Art Gallery, artists George Cann and Anthony Bourached, and their company Oxia Palus, are debuting a recreated a masterpiece, a lost Leonardo da Vinci painting. The painting seen below, and shown publicly for the first time, is called Madonna.
]]>We previously announced Clara Guardian, an application framework and partner ecosystem that accelerates the development and deployment of smart sensors with multimodal AI anywhere in the hospital. Today four pre-trained models and NVIDIA Fleet Command are officially available for early access. Clara Guardian’s key components include healthcare pre-trained models for computer vision and…
]]>As the computing horsepower of GPUs increases, so does the demand for input/output (I/O) throughput and the need to strong scale with low-latency, high-bandwidth communication among GPUs. A GPU-accelerated supercomputer transforms a compute-bound problem into an I/O-bound problem. In multi-node GPU clusters, slow CPU single-thread performance is in the critical path of data access from local…
]]>NVIDIA announced the Jetson Nano 2GB Developer Kit, the ideal hands-on platform for teaching, learning, and developing AI and robotics applications. The NVIDIA Jetson platform introduced six years ago revolutionized embedded computing by delivering the power of artificial intelligence to edge computing devices. NVIDIA Jetson today is widely used in diverse fields such as robotics, retail…
]]>At GTC, NVIDIA researchers introduced a robotics framework that combines model-based control and reinforcement learning to adaptively change contact sequences in real time. The system has the potential to help delivery robots and other autonomous machines function more effectively in environments and terrains the robot is not familiar with. The controller adapts to environmental changes…
]]>Building an AI application can be complex. It’s never a case of simply running and grabbing the latest framework container or simply downloading the model and code needed to build your AI app. It takes all of these components and more to build a solution for your use case, which is why we built the NGC catalog. The NGC catalog provides you with easy access to secure and optimized containers…
]]>The nexus of 5G, IoT, and MEC is expanding the horizons of digital transformation. NVIDIA Metropolis intelligent video analytics (IVA) platform makes sense of the flood of data created by trillions of cameras and sensors for traffic engineering in smart cities, frictionless retail, optical inspection on factory floors, and more. Mavenir’s 5G RAN & packet core platform transforms CSP’s…
]]>NVIDIA’s GTC always delivers the latest breakthroughs in AI, HPC, data science, graphics, healthcare, government, and this October’s GTC will be no exception. To help maximize your GTC online experience we’ve outlined four actionable steps you can take to prepare for next week’s show. Organizing your calendar and being on time for all trainings and presentations is still important for…
]]>The pre-trained models on the NVIDIA NGC catalog offer state of the art accuracy for a wide variety of use-cases including natural language understanding, computer vision, and recommender systems. NGC models now include the important credentials that help data scientists and developers quickly identify the right model to deploy for their AI software development. These credentials provide a…
]]>NVIDIA’s GPU Technology Conference (GTC) is the must attend digital event for developers, researchers, engineers, and innovators looking to enhance their skills, exchange ideas, and gain a deeper understanding of how AI will transform their work. Discover the latest breakthroughs in AI, HPC, graphics, data science and more. Starting on October 5 – October 9, 2020, join us in the time…
]]>Hear from NVIDIA’s co-founder and CEO Jensen Huang in the NVIDIA Inception Fireside Chat, an unplugged conversation around topics ranging from NVIDIA’s strategies, to industry trends and developments. Plus, how NVIDIA supports the entire startup ecosystem. Jeff Herbst, NVIDIA VP of Business Development and Head of Inception, will moderate the panel, which will include questions from CrowdAI…
]]>From creating AI models to building a real-time seamless video analytics pipeline, developers need powerful tools to simplify their workflows while achieving high performance and highly accurate results. The GPU Technology Conference, Oct. 5-9, will feature NVIDIA technologies that help developers overcome all these challenges. Here are some top technical sessions that will help developers…
]]>Starting on October 5, this fall’s GPU Technology Conference (GTC) will run continuously for five days, across seven time zones. The conference will showcase the latest breakthroughs in AI, as well as many other GPU technology interest areas. Here’s a preview of some of the AI sessions at GTC. A Deep Dive into the Merlin Recommendation Framework: Recommender systems are driving the…
]]>NVIDIA’s GTC is happening on October 5-9, featuring a huge catalog of live and on-demand sessions. Attendees can check out innovative demos, get access to the Inception AI Startup Pavilion, and connect with the developer community and technical experts. Explore all the Robotics and AI Embedded talks at GTC. Learn how to inspire the next generation of AI innovators.
]]>The NVIDIA GPU Technology Conference (GTC) returns Oct. 5, running 24 hours a day, across seven time zones, through Oct. 9. Kicking off with a keynote video from NVIDIA founder and CEO Jensen Huang, the event will feature the best in AI sessions, training and more from the foremost experts. GTC provides the unique opportunity to hear from researchers, engineers…
]]>The NVIDIA Deep Learning Institute (DLI) is offering instructor-led, hands-on training on how deep learning works through hands-on exercises in computer vision and natural language processing. Deep learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition…
]]>CUDA 11 announced support for the new NVIDIA A100 based on the NVIDIA Ampere architecture. Today CUDA 11.1 introduces support for NVIDIA GeForce RTX 30 Series and Quadro RTX Series GPU platforms. CUDA is the most powerful software development platform for building GPU-accelerated applications, providing all the components needed to develop applications targeting every GPU platform.
]]>Nsight Compute 2020.2, now available for download, puts more control in the hands of developers enabling new usage models and opportunities to get the best performance. For many use-cases this also means getting results faster so you can spend less time profiling and more time optimizing. The latest release adds the highly-requested “Application Replay” feature and additional collection knobs to…
]]>NVIDIA Inception partner TrainingData.io recently developed a segmentation AI model that enables instant analysis of the progression of COVID-19 in chest CT images. When the virus progresses through a patient’s body, there is a build-up of fluid in the tiny air sacs in the lungs called alveoli. The presence of this fluid causes inflammation of the lungs. The growth in inflammation of the…
]]>Connect online with our developer community, partner ecosystem, and the brightest minds in the industry at GTC this fall to learn about the latest innovations and techniques for AI, computer vision, deep learning, data science, simulation, training, HPC, and more. Make sure to catch the many Deep Learning Institute trainings being offered as GTC this fall including: There will be…
]]>NVIDIA researchers, in collaboration with Owkin scientists, a premier member of NVIDIA Inception, as well as other scientists, this week published a new research paper on Nature Partner Journals Digital Medicine about the future of digital health with federated learning. “Existing medical data is not fully exploited by machine learning [ML] primarily because it sits in data silos and privacy…
]]>By Arpit Agrawal HMD vendors now have access to Digital Stream Compression (DSC) through the VRWorks DirectMode API available in VRWorks Graphics SDK v3.4. Let’s explore this feature and how it enabled higher resolution VR experiences. As described in VESA’s white paper: HMD resolutions have been rapidly increasing, with the ultimate goal of achieving…
]]>By Igor Tryndin, Xiaolin Lin, Eric Yuan, HaeJong Seo As autonomous driving technology continues to advance, performance and functionality enhancements via software-defined AI are key to implementing the latest capabilities for safer, more efficient operation. In the latest DRIVE Labs episode, we show how software-defined AI techniques can be used to significantly improve performance and…
]]>COVID-19 is fundamentally changing the doctor-patient dynamic worldwide. Telemedicine is now becoming an essential technology that healthcare providers can offer patients as an adjunct or alternative for in-person visits that is both effective and convenient. We’ve all been there, at one time or another in the last six months: speaking with a nurse or family doctor using video calling on our…
]]>NVIDIA will host its GPU Technology Conference, running Oct. 5-9, featuring a recorded keynote by CEO and founder Jensen Huang. GTC will feature the latest innovations in AI, data science, graphics, high-performance and edge computing, networking, autonomous machines and VR for a broad range of industries. Seven separate programming streams will run across North America, Europe, Israel…
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