From accelerated computing and simulation to data operations, open-source tooling, validation engineering, and continuous ...

Robots trained entirely inside a digital simulation — never touching a physical arm, never resetting a cable, never recovering from a dropped test tube — ran continuously on real hardware for an hour ...

IEEE Humanoids 2026 convenes December 6-9 in Santa Clara as Boston Dynamics, Figure AI, and Agility Robotics bring humanoid ...

Imaging Science is an interdisciplinary field combining computer science, engineering, and physics to explore image creation, perception, and analysis. Our strong industry partnerships, including the ...

Explore the five physical limits reshaping AI data centers—from GPU shortages and memory constraints to power, cooling, and ...

Researchers from Applied Mathematics will lead an invited tutorial this summer at the 2026 Society for Industrial and Applied Mathematics (SIAM) Annual Meeting, introducing participants to emerging ...

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into coordinated physical action over time.​ ...

KBR and Applied Computing are using physics-informed AI to enhance energy efficiency in industrial plants. Traditional industrial operations rely on experienced engineers and controlled processes, but ...

Want to trade but don't know where to start? Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading ...

Discount giant The Works recently announced that it was shutting down its ecommerce operations to focus on its store-led growth. The move might seem surprising in 2026, but actually, as we’ll explore, ...

At its annual GPU Technology Conference, or GTC, NVIDIA Corp. showed off its partnerships with the global robotics ecosystem, including 110 robot brain developers, industrial automation leaders, and ...

How do you build a single model that can learn physical skills from chaotic real world robot data without relying on simulation? Generalist AI has unveiled GEN-θ, a family of embodied foundation ...