Open-source large language models (LLMs) excel in English but struggle with other languages, especially the languages of Southeast Asia. This is primarily due…
Large language models (LLMs) are revolutionizing how developers code and how they learn to code. For seasoned or junior developers alike, today’s state-of-the…
Protein sequence alignment—comparing protein sequences for similarities—is fundamental to modern biology and medicine. It illuminates gene functions by…
Approximately 220 teams gathered at the Open Data Science Conference (ODSC) West this year to compete in the NVIDIA hackathon, a 24-hour machine learning (ML)…
Learn how using the combination of model parallel and data parallel enables practitioners to train large-scale recommender systems in minutes instead of days.
As quantum computers scale, they will integrate with AI supercomputers to tackle some of the world’s most challenging problems.
Autonomous vehicle (AV) stacks are evolving from a hierarchy of discrete building blocks to end-to-end architectures built on foundation models.
This edition of NVIDIA Robotics Research and Development Digest (R2D2) explores several contact-rich manipulation workflows for robotic assembly tasks from…
Robotic arms are used today for assembly, packaging, inspection, and many more applications. However, they are still preprogrammed to perform specific and often…
Modern products often consist of millions of parts and require intricate design and collaboration. The industrial world is facing significant challenges in…
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