Month: December 2024

Action recognition models such as PoseClassificationNet have been around for some time, helping systems identify and classify human actions like walking,…

Action recognition models such as PoseClassificationNet have been around for some time, helping systems identify and classify human actions like walking, waving, or picking up objects. While the concept is well-established, the challenge lies in building a robust computer vision model that can accurately recognize the range of actions across different scenarios that are domain- or use case…

Source

As generative AI continues to grow, implementing and managing the right infrastructure becomes even more critical to ensure the secure and efficient development and deployment of AI-based solutions. To meet these needs, NVIDIA has introduced two professional-level certifications that offer structured paths for infrastructure and operations practitioners to enhance and validate the skills needed to
Read Article

A recent survey from the Special Olympics Global Center for Inclusion in Education shows that while a majority of students with an intellectual and developmental disability (IDD) and their parents view AI as a potentially transformative technology, only 35% of educators believe that AI developers currently account for the needs and priorities of students with
Read Article

NVIDIA TensorRT-LLM support for speculative decoding now provides over 3x the speedup in total token throughput. TensorRT-LLM is an open-source library that…

NVIDIA TensorRT-LLM support for speculative decoding now provides over 3x the speedup in total token throughput. TensorRT-LLM is an open-source library that provides blazing-fast inference support for numerous popular large language models (LLMs) on NVIDIA GPUs. By adding support for speculative decoding on single GPU and single-node multi-GPU, the library further expands its supported…

Source

Creating interactive virtual characters that move naturally and respond intelligently to diverse control inputs remains one of the most challenging problems in…

Creating interactive virtual characters that move naturally and respond intelligently to diverse control inputs remains one of the most challenging problems in computer animation and robotics. While high-performance parallel simulators such as NVIDIA Isaac Sim enable significant progress in training interactive humanoids, current approaches still face a fundamental limitation. That is…

Source

As quantum computers scale, tasks such as controlling quantum hardware and performing quantum error correction become increasingly complex. Overcoming these…

As quantum computers scale, tasks such as controlling quantum hardware and performing quantum error correction become increasingly complex. Overcoming these challenges requires tight integration between quantum processing units (QPUs) and AI supercomputers, a paradigm known as accelerated quantum supercomputing. Increasingly, AI methods are being used by researchers up and down the quantum…

Source

3.6 billion. That’s about how many medical imaging tests are performed annually worldwide to diagnose, monitor and treat various conditions. Speeding up the processing and evaluation of all these X-rays, CT scans, MRIs and ultrasounds is essential to helping doctors manage their workloads and to improving health outcomes. That’s why NVIDIA introduced MONAI, which serves
Read Article