The launch of the NVIDIA Blackwell platform ushered in a new era of improvements in generative AI technology. At its forefront is the newly launched GeForce RTX 50 series GPUs for PCs and workstations that boast fifth-generation Tensor Cores with 4-bit floating point compute (FP4)��a must-have for accelerating advanced generative AI models like FLUX from Black Forest Labs. As the latest image��
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Curating high-quality pretraining datasets is critical for enterprise developers aiming to train state-of-the-art large language models (LLMs). To enable developers to build highly accurate LLMs, NVIDIA previously released Nemotron-CC, a 6.3-trillion-token English language Common Crawl (CC) dataset. Today, the NVIDIA NeMo Curator team is excited to share that the pipeline used to build the��
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Generative AI has rapidly evolved from text-based models to multimodal capabilities. These models perform tasks like image captioning and visual question answering, reflecting a shift toward more human-like AI. The community is now expanding from text and images to video, opening new possibilities across industries. Video AI models are poised to revolutionize industries such as robotics��
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In this post, we delve deeper into the inference optimization process to improve the performance and efficiency of our machine learning models during the inference stage. We discuss the techniques employed, such as inference computation graph simplification, quantization, and lowering precision. We also showcase the benchmarking results of our scene text detection and recognition models��
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To make scene text detection and recognition work on irregular text or for specific use cases, you must have full control of your model so that you can do incremental learning or fine-tuning as per your use cases and datasets. Keep in mind that this pipeline is the main building block of scene understanding, AI-based inspection, and document processing platforms. It should be accurate and have low��
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Identification and recognition of text from natural scenes and images become important for use cases like video caption text recognition, detecting signboards from vehicle-mounted cameras, information retrieval, scene understanding, vehicle number plate recognition, and recognizing text on products. Most of these use cases require near real-time performance. The common technique for text��
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A primary goal in the field of neuroscience is understanding how the brain controls movement. By improving pose estimation, neurobiologists can more precisely quantify natural movement and in turn, better understand the neural activity that drives it. This enhances scientists�� ability to characterize animal intelligence, social interaction, and health.
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Why have images not evolved past two dimensions yet? Why are we satisfied with century-old technology? What if the technology already exists that��s ready to push the content world forward and only requires a camera? That technology is neural radiance fields (NeRFs). Although this technology was created only a few years ago (2020), the pace at which it has continued to evolve cannot be ignored��
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Real-time cloud-scale applications that involve AI-based computer vision are growing rapidly. The use cases include image understanding, content creation, content moderation, mapping, recommender systems, and video conferencing. However, the compute cost of these workloads is growing too, driven by demand for increased sophistication in the processing. The shift from still images to video is��
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Most drone inspections still require a human to manually inspect the video for defects. Computer vision can help automate and accelerate this inspection process. However, training a computer vision model to automate inspection is difficult without a large pool of labeled data for every possible defect. In a recent session at NVIDIA GTC, we shared how Exelon is using synthetic data generation��
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This post is part of a series about optimizing end-to-end AI. The performance of AI models is heavily influenced by the precision of the computational resources being used. Lower precision can lead to faster processing speeds and reduced memory usage, while higher precision can contribute to more accurate results. Finding the right balance between precision and performance is crucial for��
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Over a billion cameras are deployed in the most important spaces worldwide and these cameras are critical sources of video and data. It is becoming increasingly important to understand how to harness this data to make our spaces and processes more efficient and safer. Lumeo, an NVIDIA Metropolis partner, provides a ��no-code�� video analytics platform that enables developers and solution��
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Thousands of developers and content creators have built stunning 3D visuals with NVIDIA Instant NeRF, a rendering tool that turns a set of static images into a realistic 3D scene. Now, it is also possible to navigate Instant NeRF in VR and step into 3D creations with the latest Instant NeRF software update. Named by TIME Magazine as a top invention of 2022, Instant NeRF provides a glimpse��
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Whole slide imaging (WSI), the digitization of tissue on slides using whole slide scanners, is gaining traction in healthcare. WSI enables clinicians in histopathology, immunohistochemistry, and cytology to: This post explains how GPU-accelerated toolkits improve the input/output (I/O) performance and image processing tasks. More specifically, it details how to: Time savings��
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Denoising is an advanced technique used to decrease grainy spots and discoloration in images while minimizing the loss of quality.
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TIME Magazine named NVIDIA Instant NeRF, a technology capable of transforming 2D images into 3D scenes, one of the Best Inventions of 2022. ��Before NVIDIA Instant NeRF, creating 3D scenes required specialized equipment, expertise, and lots of time and money. Now it just takes a few photos and a few minutes,�� TIME writes in their release. The 3D rendering tool was introduced at SIGGRAPH��
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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��
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Image data can generally be described through two dimensions (rows and columns), with a possible additional dimension for the colors red, green, blue (RGB). However, sometimes further dimensions are required for more accurate and detailed image analysis in specific applications and domains. For example, you may want to study a three-dimensional (3D) volume, measuring the distance between two��
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Capturing clear diagnostic images of the heart and its vasculature is challenging in cardiac computed tomography (CT) imaging because the heart is always moving and the resulting images can be blurry. When a heart is beating quickly, at above 75 beats per minute or irregularly, good image resolution is almost impossible. Global diagnostic imaging leader Fujifilm Healthcare developed Cardio��
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A major contributor to CO2 emissions in cities is traffic. City planners are always looking to reduce their carbon footprint and design efficient and sustainable infrastructure. NVIDIA Metropolis partner, MarshallAI, is helping cities improve their traffic management and reduce CO2 emissions with vision AI applications. MarshallAI��s computer vision and AI solution helps cities get closer to��
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Instance segmentation is a core visual recognition problem for detecting and segmenting objects. In the past several years, this area has been one of the holy grails in the computer vision community with wide applications ranging from autonomous vehicles (AV), robotics, video analysis, smart home, digital human, and healthcare. Annotation, the process of classifying every object in an image��
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This post was written to enable the beginner developer community, especially those new to computer vision and computer science. NVIDIA recognizes that solving and benefiting the world��s visual computing challenges through computer vision and artificial intelligence requires all of us. NVIDIA is excited to partner and dedicate this post to the Black Women in Artificial Intelligence.
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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.
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NVIDIA OptiX Ray Tracing Engine is a scalable and seamless framework that offers optimal ray tracing performance on GPUs. In this fall update to the NVIDIA OptiX SDK, developers will be able to leverage new compilation techniques, and superior layered and temporal denoising to handle more ray tracing workloads, quicker. NVIDIA OptiX 7.4 comes with a new feature to support the parallel��
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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��
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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��
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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��
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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��
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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.
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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��
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Synthesizing 3D views of a scene using multiple camera angles, cameras, and lighting conditions is a challenging task for computer vision models and an important prerequisite for AR and VR applications. A group of researchers from Google Research and Google Brain are working to solve this problem by developing deep learning models that can synthesize complex outdoor scenes using only unstructured��
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CVPR is one of the main conferences which provide researchers and engineers with the opportunity to meet and discuss their amazing work. This year, with CVPR and other conferences going virtual, we take the opportunity to recognize our academic and Inception industry partners�� work at CVPR 2020 through this post. Here��s one paper from UC Berkeley researchers: While machine learning at the edge��
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GPU parallel computing is delivering high performance to autonomous vehicle evaluation. In a research paper presented at the Computer Vision and Pattern Recognition Conference (CVPR) this week, NVIDIA GPUs were found to drastically reduce the time it takes to evaluate perception models using a new sophisticated evaluation metric, named Planning Kullback-Leibler Divergence (PKL).
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Researchers, developers, and engineers from all over the world are gathering virtually this year for the 2020 Conference on Computer Vision and Pattern Recognition (CVPR). NVIDIA Research will present its research through oral presentations, posters, and interactive Q&As. NVIDIA��s accepted papers at this year��s online CVPR feature a range of groundbreaking research in the ?eld of computer��
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Forty years to the day since PAC-MAN first hit arcades in Japan, and went on to munch a path to global stardom, the retro classic has been reborn, delivered courtesy of AI. Trained on 50,000 episodes of the game, a powerful new AI model created by NVIDIA Research, called NVIDIA GameGAN, can generate a fully functional version of PAC-MAN �� without an underlying game engine. That means that even��
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Facebook this week announced a GPU-accelerated model designed for shopping. The model uses AI to automatically identify consumer goods from images to help make them shoppable. GrokNet, a universal computer vision system, can identify items in categories such as fashion, auto, and home decor. The model is in production today and is available for buyers and sellers in Facebook Marketplace.
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NVIDIA today announced new AI models to help the medical community better track, test and treat COVID-19. Available today, AI models developed jointly with the National Institutes of Health (NIH) can help researchers study the severity of COVID-19 from chest CT scans and develop new tools to better understand, measure and detect infections. The models are immediately available in the��
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Digitizing millions of historical documents and newspapers is a challenging task. To help speed up the process, the U.S. Library of Congress developed a GPU-accelerated, deep learning model to automatically extract, categorize, and caption over 16 million pages of historic American newspapers published between 1789 and 1963. The work, which is being made publicly available for��
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Social distancing is one of the most important defenses against the spread of COVID-19. The team at Galliot was awarded the Jetson Project of the Month for their ��Smart Social Distancing with AI�� application. This open-source application based on Jetson Nano helps businesses monitor social distancing practices on their premises and take corrective action in real time. The application��s main��
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AI developers, data scientists and companies building intelligent video analytics apps face significant challenges in creating and deploying highly accurate AI. Some of the key issues include dataset collection and labeling, achieving high accuracy with available dataset, deploying on legacy infrastructure, and scalability of apps and services. With billions of cameras and sensors deployed��
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Sweden-based Mapillary, a premier member of NVIDIA Inception, uses deep learning to automate mapping. Their platform provides street-level mapping by stitching together images sourced from its community of individual contributors, companies, and governments. NVIDIA Inception is a startup accelerator. Yesterday, the company announced the release of a new product, the Mapillary Street-Level��
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To convert a single RGB-D input image into a 3D photo, a team of researchers from Virginia Tech and Facebook developed a deep learning-based image inpainting model that can synthesize color and depth structures in regions occluded in the original view. ��Classic image-based reconstruction and rendering techniques require elaborate capture setups involving many images with large baselines, and/
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To help autonomous machines better sense transparent objects, Google researchers, in collaboration with Columbia University and Synthesis AI, developed ClearGrasp, an algorithm that can accurately estimate the 3D data of clear objects, like a glass container or plastic utensil, from standard RGB images. ��Enabling machines to better sense transparent surfaces would not only improve safety but��
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To help you get up-and-running with deep learning and inference on NVIDIA��s Jetson platform, today we are releasing a new video series named Hello AI World to help you get started. In the first episode Dustin Franklin, Developer Evangelist on the Jetson team at NVIDIA, shows you how to perform real-time object detection on the Jetson Nano. In this hands-on tutorial, you��ll learn how��
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To help autonomous vehicles and robots potentially spot objects that lie just outside a system��s direct line-of-sight, Stanford, Princeton, Rice, and Southern Methodist universities researchers developed a deep learning-based system that can detect objects, including words and symbols, around corners. ��Compared to other approaches, our non-line-of-sight imaging system provides uniquely high��
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With as many as 2 billion parking spaces in the United States, finding an open spot in a major city can be complicated. To help city planners and drivers more efficiently manage and find open spaces, MIT researchers developed a deep learning-based system that can automatically detect open spots from a video feed. ��Parking spaces are costly to build, parking payments are difficult to enforce��
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To help neurosurgeons diagnose brain tumors more efficiently, researchers from the University of Michigan developed a deep learning-based imaging technique that can reduce the tumor diagnosis process during surgery from 30-40 minutes to less than three minutes. First unveiled in 2017, the technique called stimulated Rama histology (SRH) helps neurosurgeons more rapidly assess tumor tissue in��
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By: Xiaolin Lin, Yilin Yang Editor��s note: This is the latest post in our NVIDIA DRIVE Labs series, which takes an engineering-focused look at individual autonomous vehicle challenges and how NVIDIA DRIVE addresses them. Catch up on all of our automotive posts, here. Lane and road edge detection is critical for self-driving car development �� lane detection powers systems like lane��
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The story below is a guest post from researchers at the Max Planck Institute for Intelligent Systems. In this article, the researchers describe a new method for dense 4D reconstruction from images or sparse point clouds. By Michael Niemeyer An intelligent agent that interacts and navigates in our world has to be able to reason in 3D. Therefore, in recent years there has been a lot of��
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To help accelerate microscopic systems, researchers from the Salk Institute, the University of Texas at Austin, fast.AI, and others, developed a new AI-based microscopy approach that has the potential to make microscopic techniques used for brain imaging 16 times faster. ��Point scanning imaging systems are perhaps the most widely used tools for high-resolution cellular and tissue imaging,����
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By JC Li Editor��s note: This is the latest post in our NVIDIA DRIVE Labs series, which takes an engineering-focused look at individual autonomous vehicle challenges and how NVIDIA DRIVE addresses them. Catch up on all automotive posts. AI can now make it easier for cars to see in the dark, while ensuring other vehicles won��t be blinded by the light. High beam lights can increase the��
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There��s a tremendous opportunity to bring efficiency in our cities, in retail operations, manufacturing lines, shipping and routing in warehouses. The groundwork has already been laid out with billions of sensors and cameras installed worldwide, that are rich sources of data. Yet the ability to extract insights from this information has been challenging, and today��s solutions are siloed for��
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By Jason Phang, PhD student at the NYU Center for Data Science Breast cancer is the second leading cancer-related cause of death among women in the US. However, screening mammograms require radiologists to arduously pore over extremely high-resolution mammography images, looking for features suggestive of cancerous or suspicious lesions. This appears like an ideal situation to apply deep��
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For the first time using AI, researchers from Yamagata University in Japan, in collaboration with IBM, have discovered 142 new geoglyphs, which depict people, animals, and other beings, on the ancient motifs in the Nazca Pampa region of Peru. The new geoglyphs were identified using high-resolution 3D data, taken from on-site surveys and aerial imagery collected since 2004.
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Using GANs, this deep learning-based system can act as a personal fashion designer by recommending changes that can make a person��s outfit more fashionable. Using large portions of NVIDIA��s Pix2PixHD code, Facebook AI researchers in collaboration with UT Austin, Cornell University, and Georgia Tech developedFashion++, a deep learning-based model that uses GANs to offer suggestions on what to��
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To help recreate a lost Picasso painting, University College London researchers used deep learning to recreate parts of The Old Guitarist, one of Picasso��s most famous paintings from the Blue Period. During this period, dating back to the early 1900s, Picasso used blue in his paintings to convey the pain and solitude he experienced during this time. The painting is also interesting for��
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Generating road layout for different city styles is a time-consuming task. Artists need to manually create the road geometry and adjust its parameters like width and curvature by comparing it with real-world maps. But, what if there was a better way to do this? At the International Conference on Computer Vision in Seoul, Korea, NVIDIA researchers, in collaboration with University of Toronto��
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At the International Conference on Computer Vision in Seoul, Korea, NVIDIA researchers, in collaboration with University of Toronto, the Vector Institute and MIT presented Meta-Sim, a deep learning model that can generate synthetic datasets with unlabeled real data (i.e. camera footage), bridging the gap between real and synthetic training data. This method provides a new and important��
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To help advance medical research while preserving data privacy and improving patient outcomes for brain tumor identification, NVIDIA researchers in collaboration with King��s College London researchers today announced the introduction of the first privacy-preserving federated learning system for medical image analysis. NVIDIA is working with King��s College London and French startup Owkin to enable��
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This summer, student interns at Booz Allen Hamilton bested the competition on edge computing with the help of NVIDIA Jetson Nano. The Booz Allen Summer Games Challenge (SGC) calls on student interns across the U.S. to develop breakthrough solutions for its clients�� most pressing problems. This summer, Project RAZOR placed top 10 among artificial intelligence and machine learning projects with��
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How much dark matter is there in the universe? This AI model might have the answer. A team of physicists and computer scientists at ETH Zurich developed a deep learning-based model to estimate the amount of dark matter in the universe. This is the first time AI researchers have used this type of algorithm to analyze dark matter, the researchers said. As a first step, the team trained a��
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As speech recognition applications become mainstream and get deployed through devices in the home, car, and office, research from academia and industry for this space has exploded. To present their latest work, global AI leaders and developers, including NVIDIA researchers, will come together in Austria next week to discuss the latest automatic speech recognition (ASR) breakthroughs��
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To help monitor traffic conditions, locate missing vehicles, and possibly help find lost children, University of Toronto and Northeastern University researchers developed a deep learning-based vehicle image search engine that can be used to narrow down the location of a vehicle. ��We developed the Vehicle Image Search Engine (VISE) to support the fast search of highly similar vehicles given an��
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To help with animal conservation efforts, University of Oxford researchers developed a deep learning-based model that can identify individual chimpanzees with 93% accuracy and correctly classify their sex with 96% accuracy. ��Automating the process of individual identification could represent a step change in our use of large image databases from the wild to open up vast amounts of data��
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By: Berta Rodriguez Hervas Editor��s note: This is the latest post in our NVIDIA DRIVE Labs series, which takes an engineering-focused look at individual autonomous vehicle challenges and how NVIDIA DRIVE addresses them. Catch up on all of our automotive posts. One of the first lessons in driving is simple: Green means go, red means stop. Self-driving cars must learn the same principles��
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Looking to create a cartoon emoji version of yourself? This new AI app can help. A new deep learning-based messenger app can turn users into personalized cartoon characters. ��Each avatar is unique and personalized to its user,�� the company explained. ��In this app you can be anyone you want: a human digital copy of yourself, a unicorn, a rabbit or even a tiger!
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GauGAN, NVIDIA��s viral real-time AI art application just won two major SIGGRAPH awards, ��Best of Show�� and ��Audience Choice,�� at the ��Real Time Live�� competition at SIGGRAPH 2019, one of the most anticipated events of the conference. Developed by NVIDIA researchers earlier this year, GauGAN can convert segmentation maps into photorealistic landscape images. GauGan is based on a��
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University of California Irvine researchers recently developed a deep neural network that can solve a Rubik��s cube in a fraction of a second with 100 percent accuracy in all testing configurations. ��Artificial intelligence can defeat the world��s best human chess and Go players, but some of the more difficult puzzles, such as the Rubik��s Cube, had not been solved by computers��
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According to the American Cancer Society, prostate cancer is the second most common cancer in American men, averaging around 175,000 new cases every year. During the diagnosis process, more than one million men in the U.S. alone undergo a prostate biopsy, a procedure that results in 10-12 needle cores for patients, and more than 10 million tissue samples that need to be examined by pathologists.
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To help create a unique experience for museum attendees, the Salvador Dali Museum in St Petersburg, Florida has just developed a deep learning-based version of Dali himself. Using thousands of hours of archival footage from interviews, developers from Goodby, Silverstein & Partners trained a convolutional neural network using NVIDIA GeForce GTX 1080TI GPUs, with the cuDNN-accelerated PyTorch��
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With just the beginning and end frames, this 3D convolutional neural network can fill in the gaps. The process, known as ��inbetweening,�� can generate intermediate frames between two given points. The technique is normally executed by training and running recurrent neural networks. In this work, using NVIDIA V100 GPUs for training, Google AI researchers instead used a 3D CNN to generate��
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By: Abhishek Bajpayee This is the latest post in our NVIDIA DRIVE Labs series, which takes an engineering-focused look at individual autonomous vehicle challenges and how NVIDIA DRIVE addresses them. Catch up on all automotive posts. Autonomous vehicles rely on cameras to see their surrounding environment. However, environmental factors such as rain, snow, or other blockages can affect��
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To help potential homebuyers get a 360-degree tour of a home, Zillow, the online real estate database company, recently launched a new app and service across North America that relies on machine learning to generate 3D walkthroughs of a home. ��Previously, 3D tours were only found on high-end or expensive homes, due to the high cost and time-intensive capture process, said Josh Weisberg��
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By Sandra Skaff This week top AI researchers are gathered in New Orleans, LA, to present their cutting edge research. Our NVAIL partners are among the researchers presenting this work. We highlight here the work of three of these partners, which has been developed with robotics as a target application. Mila researchers are presenting BabyAI, which is a platform for learning to��
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Every week we highlight NVIDIA��s Top 5 AI stories of the week. In this week��s edition we cover a new deep learning-based algorithm from OpenAI that can automatically generate new music. Plus, an automatic speech recognition model that could improve Alexa��s algorithm by 15%. Watch below: Planning a workout that is specific to a user��s needs can be challenging.
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According to the World Health Organization (WHO), there are an estimated 360 million people worldwide with disabling hearing loss. To help with sign language translation, Researchers from Michigan State University developed a deep learning-based system that can automatically interpret individual signs of the American Sign Language (ASL) as well as translate full ASL sentences without needing��
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Every week we highlight NVIDIA��s Top 5 AI stories of the week. In this week��s edition we highlight a new deep learning-based algorithm that is working towards replicating the energy of the sun on earth. Plus, a robot that can efficiently interact with liquid and moldable items. Watch below: This week at TechCrunch��s Robotics + AI event at UC Berkeley, NVIDIA��s VP of��
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A new paper published in Cell systems by Harvard researcher Mohammed AlQuraishi describes a new deep learning-based approach for predicting the 3D structure of a protein based on its amino acid sequence. The work achieves high accuracy at speeds upward of a million times faster than previous methods. ��Protein folding has been one of the most important problems for biochemists over the last��
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Imagine a robot that can efficiently model clay, push ice cream onto a cone, or mold the rice for your sushi roll. MIT researchers developed a deep learning-based algorithm that improves a robot��s ability to mold materials into shapes, as well as enabling it to interact with liquids and solid objects. The work draws on inspiration from how humans interact with different objects.
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New York City-based startup TheTake, a member of the NVIDIA Inception program, recently unveiled a new deep learning-based algorithm that can automatically decode what a celebrity, athlete, or other public figure is wearing in a video in near real time. ��TheTake��s mission is simple: making media content shoppable,�� said Jared Browarnik, the company��s Co-founder and Chief Technology Officer.
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According to the American Cancer Society, more than 229,000 people will be diagnosed with lung cancer in the United States this year, with adenocarcinoma being the most common type. To help with diagnosis, researchers from Dartmouth��s Norris Cotton Cancer Center and the Hassanpour Lab at Dartmouth University developed a deep learning-based system for automated classification of histologic subtypes��
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Wondering how AI can inspire artists to create their best work? Renowned artist Chris Peters recently purchased a new NVIDIA TITAN RTX GPU with the intention of using it to create art. The results are stunning compositions generated by the AI, and actual oil paintings painted by Peters himself. ��The AI Muse produces digital images, but a digital image is not a painting and a computer printout��
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Researchers from Fujitsu just announced a new speed record for training ImageNet to 75% accuracy in 74.7 seconds. The new record is faster than the previous test by more than 47 seconds achieved by Sony in November of last year. The team achieved the record by using 2,048 NVIDIA Tesla V100 GPUs, and the MXNet deep learning framework, at the AI Bridging Cloud Infrastructure system at the��
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At GTC Silicon Valley in San Jose, NVIDIA released the latest version of TensorRT 5.1 which includes 20+ new operators and layers, integration with Tensorflow 2.0, ONNX Runtime, and TensorRT Inference Server 1.0. TensorRT 5.1 includes support for 20+ new Tensorflow and ONNX operations, ability to update model weights in engines quickly, and a new padding mode to match native framework��
]]>In this week��s video, see a robot that can recognize objects from touch, an AI tool that can automatically detect open parking spots, a new technology to generate lifelike avatars, and much more. Plus, see how GIPHY used AI and NVIDIA GPUs to develop an open source celebrity detection model. Watch below: Drawing inspiration from how humans interact with objects through touch��
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Trying to figure out who is in that celebrity GIF? This AI-based algorithm can help. Researchers from GIPHY, the online search database for GIFs, recently developed an open source deep learning model that can recognize over 2,300 celebrity faces with high accuracy. ��We needed a tool that could find and annotate this content within our ever-growing library of GIFs, so that this content could��
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University of Michigan researchers recently published a paper describing a new deep learning based-algorithm that can predict the future location of a pedestrian, along with their pose and gait. ��The proposed network is able to predict poses and global locations for multiple pedestrians simultaneously for pedestrians up to 45 meters from the cameras,�� the researchers stated in their paper.
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According to UNICEF, 1.2 million children are trafficked every year. To help identify and rescue victims of trafficking, researchers from George Washington University, Adobe, and Temple University released a new dataset called Hotels-50K and developed an AI-based algorithm that can be used to identify possible locations of where children are being held. ��Recognizing a hotel from an image of a��
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In 2016 through 2017 U.S. beekeepers lost 33 percent of bees. Many factors contribute to the death of bees, but the number one culprit is the Varroa mite. Manually detecting the mites is tedious and prone to human error. Researchers from EPFL, a research institution and university in Lausanne, Switzerland, developed a deep learning-based app that can automatically count the number of varroa mites��
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London based startup Fabula AI has developed a deep learning-based system that can help identify fake news across online platforms. ��Automatically detecting fake news poses challenges that defy existing approaches based on linguistic content analysis,�� the company stated in a blog post. ��News is often highly nuanced and their interpretation requires the knowledge of political or social context��
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A team of researchers from MIT just built a robot and developed a deep learning-based system that can play Jenga, a game in which players take turns removing blocks and placing them on the top of the structure to make it taller and more unstable. The robot uses a soft gripper and a computer vision system to strategically pull and place the blocks. Details of the Jenga-playing system were��
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Researchers from Columbia University used deep learning to enhance speech neuroprosthesis technologies, that can result in accurate and intelligible reconstructed speech from the human auditory cortex. This research has the potential to one day help patients who have lost their ability to speak, communicate with their loved ones. ��Our approach takes a step toward the next generation of human��
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According to the National Institutes of Health (NIH), cervical cancer is third most common cancer among women and the second most frequent cause of cancer-related death, with 80% of cervical cancer cases occurring in developing nations with limited access to cervical cancer screening. To help alleviate the problem, researchers from the NIH and intellectual Ventures Global Good Fund developed a��
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Around 25% of the world��s urban population lives in informal settlements, areas that are cut off from basic services and city infrastructure. Mapping these locations can dramatically help aid and non-government organizations better serve those in need. To help, researchers from several universities developed a deep learning-based tool that can automatically classify informal settlements using��
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In computer vision, creating an image of a long list of text is complicated. To help accelerate research in this field, a team from Tel Aviv University in Israel developed a deep learning-based system that can automatically generate pictures of a finished meal from a simple text-based recipe. ��We propose a novel task of synthesizing images from long text, that is related to the image but does��
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TwentyBN is a German/Canadian based AI startup that is using computer vision to redefine how people interact with technology. At NeurIPS in Montreal, Canada this week the company demonstrated a brand new computer vision based-avatar named Millie that is designed for retail and entertainment applications. ��Millie is a context-aware avatar that we��re showing for the very first time��
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As another step toward enabling robots to work effectively in complex environments, robotics researchers from NVIDIA have developed a novel deep learning-based system that allows a robot to perceive household objects in its environment for the purpose of grasping the objects and interacting with them. With this technique, the robot is able to perform simple pick-and-place operations on known��
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At the Conference on Neural Information Processing Systems in Montreal, Canada (NeurIPS), NVIDIA announced the TITAN RTX GPU. The NVIDIA TITAN RTX is the world��s most powerful desktop GPU, providing performance for AI research, data science, and creative applications. ��Turing is NVIDIA��s biggest advance in a decade �C fusing shaders, ray tracing, and deep learning to reinvent the GPU��
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Twenty-five years ago NVIDIA transformed the computer graphics industry by building the first GPU, the modern day tool of the da Vincis and Einsteins of our time. Now, a new deep learning-based model developed by NVIDIA researchers aims to catapult the graphics industry into the AI chapter. Using a conditional generative neural network as a starting point, the team trained a neural network to��
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