The auto-updated technology brief
A team at Beijing Institute of Technology developed night vision goggles that translate infrared wavelengths into distinct visible colors, providing a more natural visual experience.
NVIDIA's BioNeMo Agent Toolkit enhances the speed and scalability of biomolecular structure prediction and co-folding workflows using OpenFold3, benefiting drug discovery and protein design.
Nearly 22 percent of children are on Pinterest while there was no statistically significant change in AI chatbot use following Australia's social media ban for under-16s.
Snapchat will no longer feature AI-generated videos in its public Spotlight recommendations to improve content quality.
This article explains how kernel fusion in NVIDIA CUDA can improve GPU performance by enhancing memory bandwidth utilization and reducing kernel launch overhead, providing practical ways to apply these optimizations in CUDA code.
Robotics foundation models have advanced to follow natural language instructions for manipulating objects, but rigorous evaluation remains a key challenge. This article introduces the main problems and a method to address them.
The EU will require labels on AI-generated content that appears authentic starting August 2 to protect customers and democracy.
LemonLime’s CEO got “carried away” with a tattoo gimmick to attract job candidates, offering interviews to those who tattooed the company logo.
A study from Nanjing University shows recycling could become the main source of key materials for EV manufacturing in China by 2050, despite challenges from evolving battery chemistries.
This article discusses the balance of accuracy, throughput, and interactivity in AI performance, focusing on how model design choices impact throughput and interactivity in large language models.
LLM training workloads face GPU memory limits due to competing demands on high-bandwidth memory. This article explains how host offloading can alleviate these bottlenecks in JAX-based training.
Telecom operators have invested over $240B in wireless spectrum. AI-native RAN and NVIDIA AI Aerial aim to maximize spectral efficiency, enhancing network capacity and resilience.