NVIDIA

How do you create 3D datasets to train AI for Robotics without expensive traditional approaches? A team of researchers from NVIDIA released "ViPE: Video...

NVIDIA's unveiling of Project GR00T, a unique foundation model for humanoid robots, and its commitment to the Isaac Robotics Platform and the Robot Operating...

In the era of AI-driven transformations and soaring computing demands, NVIDIA launches its Blackwell platform, which emerges as a game-changer. Named after the renowned...

NVIDIA recently released the 12.0 version of the CUDA Toolkit. This release, which focused on new programming models and CUDA application acceleration through new...

Human-like articulated neural avatars have several uses in telepresence, animation, and visual content production. These neural avatars must be simple to create, simple to...

Human motion generation via deep learning is crucial with many applications in virtual reality, gaming, and animation. They must learn a conditional generative model...

For a wide range of uses, including gaming, entertainment, architecture, and robotics simulation, 3D digital content has been in great demand. It is gradually...

Artificial Intelligence (AI) has been a topic of increasing importance in recent years. Technological advances have made it possible to solve tasks that were...

The recent development in machine learning has led to outstanding results in generative models. Deep neural networks have been successfully exploited to generate many...

If you have ever worked with photo editing, then you probably know how cumbersome it can be to adjust the lighting of a portrait...

To meet the increasing computing needs of neural networks, AI processing requires full-stack innovation across hardware and software platforms. Using lower precision number formats...

Machine learning, artificial intelligence, and robots have all contributed to the development of today's healthcare system. Though, researchers around the world agree that improved...

Organizations across various sectors are exploring ways to increase their use of automation to boost productivity, efficiency, and security. Computer programs can make this...

Motifs in nucleotide and protein sequences have been maintained through evolution because of their significance to the structure or function of the molecule. It...

In recent years, advances in implicit representations have shown tremendous accuracy, variety, and resilience in expressing 3D scenes by mapping low dimensional coordinates to...

In the last few years, text-to-image has become one of the most studied topics in the Computer Vision world, resulting in models such as...

The PyTorch team recently released a Deep Learning Compiler for NVIDIA GPUs called nvFuser. This compiler automatically creates quick, adaptable kernels, speeding up user...

The goal of video instance segmentation (VIS) is to recognize, classify, and track object instances in the video. VIS is substantially more complex than...

With the popularity of NLP models, mainly LLMs(Large Language Models), big news came today for the fans of the NeMo framework as NVIDIA announced...

There is a law known as Moore's law, which states that the number of transistors on a microchip doubles every two years. And as...

Vision Transformer (ViT) has become one of the most cutting-edge architectures for computer vision (CV) problems in contemporary transformer architectures associated with natural language...

This Article is written as a summay by Marktechpost Staff based on the Research Article 'The Man With 100,000 Brains: AI’s Big Donation to...

This Article Is Based On The NVIDIA Article 'NVIDIA Releases Open-Source GPU Kernel Modules'. All Credit For This Research Goes To The Researchers of...

Kimberly Powell is vice president of healthcare at NVIDIA. She is responsible for the company’s worldwide healthcare business, including hardware and software platforms for...

This research summary is based on the paper 'CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs' Please don't forget to join our ML Subreddit GANs (Generative Adversarial...

It was revolutionary 75 years ago when the first instant shot was taken using a Polaroid camera, capturing the 3D world in a realistic...

A neural network that generates synthetic clinical data is in high demand, as it is a valuable resource that researchers may use to train...

A promising family of generative models has emerged: score-based generative models (SGMs) and denoising diffusion probabilistic models. SGMs have applications in image, voice, and...

In recent years, Meta has made a significant amount of contribution in the field of self-supervised learning and transformer-based models. Many of these AI...

The human brain is affected by about 120 different forms of brain tumors. AI-based intervention for tumor identification and surgical pre-assessment is on the...

Using NVIDIA Clara, Google DeepVariant, and Oxford Nanopore Technologies sequencing, the Stanford University School of Medicine has been able to identify genetic diseases in...

Projects on modeling 3D scenes can get complicated quickly, and many of them require cross-platform support and seamless collaboration opportunities to deliver the best...

Generative Adversarial Networks (GANs) have been one of the main hypes of recent years. Based on the famous generator-discriminator mechanism, their very simple functioning...

Data centers require incredibly rapid storage access, and as per the latest report by NVIDIA, Its BlueField-2 DPU is the fastest available. NVIDIA's recent testing...

Standard machine learning methods involve storing training data on a single machine or in a data center. Federated learning is a privacy-preserving technique that...

Nvidia has introduced a new AI model called GauGAN2, the successor to its original and most famous “GauGAN” model. This time around they're letting...

NVIDIA unveils 'Modulus', a new framework for constructing Physics-Machine Learning (ML) Models for Digital Twins. NVIDIA's Modulus, formerly known as SimNet, is a platform...

Audio-visual (AV) learning is defined by delivering and applying instructional content that includes both sound and visual information. The natural relationship between visual observations...

Introduction Deep learning neural networks, which are at the heart of modern artificial intelligence, are frequently characterized as "black boxes" with mysterious inner workings. However,...

Data augmentation Data augmentation in machine learning is a technique that helps reduce overfitting. It increases the amount of data by adding slightly modified copies...

Robots that can perceive and understand the world around them are a crucial part of our future. Nvidia's AI-powered robotics tool, Isaac, is expanding...

Transformer-based language models have made rapid progress in many natural language processing (NLP) applications, thanks to the availability of large datasets, large computation at...

The recent advances in the quality and resolution of Generative adversarial networks (GAN) have seen a rapid improvement. These techniques are used for various...

It is often challenging to estimate albedo, normals, depth, and 3D spatially-varying lighting from a single image all at the same time. The problem...

It is no secret that human motion synthesis has been a complex and, as of yet, unmet need. Existing techniques are limited by the...

All things that move will become autonomous. And all the robots out there are getting smarter, fast! NVIDIA announced its latest initiatives to deliver...

Federated learning is a new way to train artificial intelligence models with data from multiple sources while maintaining anonymity. This removes many barriers and...

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that affects more than five million people in America alone. One of the first signs includes...

Advanced AI models have transformed many natural language processing tasks. Speech synthesis is one such task that involves the artificial production of human speech. Synthesized voice...

GANs have revolutionized the image generation process, allowing for better results in classification and regression tasks. They can capture distribution of images through their...

Hundreds of thousands of companies worldwide will now have the ability to run AI on VMware vSphere and industry-standard servers thanks to NVIDIA software....

Machine learning (ML) and Artificial intelligence (AI) have transformed how industries make business decisions. Many firms are now leveraging ML and AI to compile...

Now organizations can be powered up with Digital Biology, Natural Language Understanding, Autonomous vehicles & AI Evolution by Renting instant access to Hosted NVIDIA...

The application of self-supervised pretraining to computer vision has been beneficial, especially for object detection. However, previous approaches were not designed with localization in...

NVIDIA and King's College London have revealed new information about one of the first projects to be run on Cambridge-1, the UK's most powerful...

Artificial intelligence (AI) models are widely used in countless real-time applications, and their demand is exponentially increasing worldwide. This demands firms to employ state-of-the-art...

Now you too can have the artistic skill of an expert canvas painter with NVIDIA's Canvas Tool. The beta version is already available to download and...

In partnership with Google Cloud, NVIDIA is establishing the first AI-on-5G Innovation Lab. This will support network infrastructure players and AI software partners to...

The advance of robotics and artificial intelligence (AI) will significantly influence how we live and work in the years ahead. Gerard Andrews, Senior Product...

Nvidia is ready to acquire DeepMap, a Californian-based autonomous vehicle (AV) mapping company, whose prime directive is to develop high-definition mapping system processors for AV vehicles.  Nvidia...

GPUs are revolutionizing healthcare, from accelerating traditional CPU workflows to helping to create artificial intelligence models and platforms. Artificial intelligence is already revolutionizing the...

In recent years, a wide range of industries such as manufacturing, agriculture, construction, energy are adopting robotics and automation technologies for multiple tasks, including...

Recently, NVIDIA launched its “NVIDIA Base Command,” a comprehensive platform that manages the end-to-end lifecycle of AI development and reporting dashboards. It is a...

The demand for artificial intelligence (AI) is increasing rapidly. Helping young people get educated and exposed to careers in AI has become a critical...

Large-scale transformer-based language models have produced significant gains in natural language processing (NLP) in recent years. However, training such models is difficult because no...

NVIDIA has developed a new CPU, ‘Grace,’ that will power the world’s most powerful Artificial Intelligence-capable supercomputer. Grace will be used by the Swiss...

In recent years, Natural language processing (NLP) techniques are adopted widely to solve the programming languages’ tasks to assist the software engineering process. A...

One of today's most prominent technological challenges is to address computer network security. There's a need to build a platform of cutting-edge computing capable...

National Supercomputer Centre at Linköping University has installed Berzelius, Sweden's fastest supercomputer for artificial intelligence and machine learning. The above had been made possible...

Researchers from NVIDIA and Harvard University have introduced a machine learning-driven toolkit called AtacWorks that has the potential to bring about remarkable advancements in genome sequencing. What...

Researchers from NVIDIA, the University of Toronto, McGill University, and the Vector Institute led a study that proposed an efficient neural representation that enables...

Oxford Nanopore Technologies and NVIDIA collaborate to integrate the NVIDIA DGX Station A100 into Oxford Nanopore’s ultra-high-throughput sequencing system, PromethION. The collaboration aims to...

Nvidia introduces a new method to train AI models using limited data sets. Using minimal study material required for a general GAN, it can...

NVIDIA researchers introduce an AI system that generates a realistic talking-head video of a person using one source image and a driving video. The...

MONAI (the Medical Open Network for AI) is a PyTorch-based framework that contributes to AI development for healthcare issues. It is looking to address medical...

Differentiable rendering is a novel field that helps to calculate the gradients of 3D objects and allows them to get propagated through images without...

Amazon Web Services Inc. made its next-generation graphics processing unit-based compute instances (for high-performance computing and ML workloads) available to all its customers. The Amazon EC2...

Adobe has recently launched an AI-driven Photoshop version. This latest version introduces GPU- accelerated neural filters in collaboration with NVIDIA. Neural filters allow creators...

Microsoft, in collaboration with MITRE research organization and a dozen other organizations, including IBM, Nvidia, Airbus, and Bosch, has released the Adversarial ML Threat...

NVIDIA's open-source toolkit, NVIDIA NeMo( Neural Models), is a revolutionary step towards the advancement of Conversational AI. Based on PyTorch, it allows one to...

NVIDIA announces that it is building a supercomputer named “Cambridge-1,” claiming to be the United Kingdom’s most powerful supercomputer. It aims to help healthcare...

NVIDIA has developed a universal PyTorch library, Imaginaire, with an optimized implementation of various GAN images and video synthesis.  The Imaginaire library currently covers three types of models, providing...

Do you remember being lost in the hospitals after someone gave you directions, and you got confused? Well, the implementation of AI has taken...

Model-based machine learning and AI, although new, are rapidly becoming a mainstream technology in all large enterprises. The use of such models has drastically...

NVIDIA open sources MONAI (Medical Open Network for AI), a framework developed by NVIDIA and King’s College London for healthcare professionals using best practices from existing tools,...