The goal of the partnership is to develop synthetic datasets to train vision language action models on various experimental workflows ...
Chase rate: This is the percentage of balls a player swings at outside of the zone. The league average normally lives between ...
By linking AI planning with standardized robotic execution, researchers can close the loop between digital design and experiments, generate high-quality training data, and enable autonomous systems ...
Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...
NVIDIA's Isaac Lab framework achieves 135,000+ FPS for humanoid training, attracting Agility Robotics and Skild AI as enterprise adopters. NVIDIA's Isaac Lab simulation framework now delivers over 150 ...
With input from high school coaches, The Arizona Republic is breaking down the top 50 boys athletes to see in the 2026 season ...
Here's what has us most excited as MLB players report this week to Arizona and Florida.
U.S. Army Medical Logistics Command is embracing the use of artificial intelligence and advanced telemaintenance to ensure ...
NVIDIA releases new open-source physical AI models and frameworks at CES 2026, with Caterpillar, LEM Surgical, and NEURA Robotics deploying systems built on the stack. NVIDIA unveiled a comprehensive ...
This repo covers the motion tracking training in BeyondMimic. You should be able to train any sim-to-real-ready motion in the LAFAN1 dataset, without tuning any parameters. For sim-to-sim and ...
Practical tools for integrating physical AI into oncology clinical trials, by Claude Code Opus 4.6/4.5, Cowork; ChatGPT 5.2 Thinking This repository provides production-ready configurations, validated ...
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