An Interview with Key Leaders at NVIDIA and Boys & Girls Clubs of Western...

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

Researchers From NVIDIA, Stanford University and Microsoft Research Propose Efficient Trillion-Parameter Language Model Training...

Large-scale transformer-based language models have produced significant gains in natural language processing (NLP) in recent years. However, training such models is difficult...

NVIDIA’s Novel CPU ‘Grace’ Will Power The World’s Most Powerful AI-Capable Supercomputer

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

Researchers at Google AI, NVIDIA, Technical University of Munich (TUM), and Ludwig-Maximilians-University Introduce CodeTrans:...

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

Arm’s Latest Architecture, Armv9, Delivers Greater Performance, Enhanced Security And Machine Learning (ML) Capabilities

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...

Linköping University Has Installed Berzelius, Sweden’s Fastest SuperComputer For Artificial Intelligence

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

NVIDIA and Harvard University Researchers Introduce AtacWorks: A Machine Learning Toolkit to Revolutionize Genome...

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...

A New Study by NVIDIA, University of Toronto, McGill, and Vector Institute Proposes Neural...

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

Oxford Nanopore Collaborates With NVIDIA To Integrate DGX Station A100 With An Ultra-High-Throughput Sequencing...

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...

Nvidia’s New Technique — Called Adaptive Discriminator Augmentation (ADA) — Allows Researchers To Train...

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