New platform enables organizations to train AI models on proprietary data, but analysts say adoption may be limited in the near term.

NVIDIA is positioning itself at the center of the robotics development ecosystem through multiple partnerships.

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

My glasses were gone. One of my kids was standing on the sidewalk next to our car—not crying, just confused. The seat belt ...

Towards the normativity of AI-driven BCI technologies in product liability in healthcare,” published in AI & Society. In their research, the researchers analyze how emerging AI-driven ...

Huang said Nvidia received chip purchase orders for China and forecast that AI chip sales would surpass $1 trillion by 2027, ...

Tencent showcased its three core AI solutions to the world: ‘MagicDawn,’ ‘VISVISE,’ and ‘ACE.’ According to Tencent, the most decisive shift in its AI technology this year, compared to last year, is ...

The U.S. Department of Energy now has two major supercomputing systems aimed at accelerating fusion energy research through ...

Robotics has moved far beyond simple mechanical machines performing repetitive tasks. In 2026, robots are becoming intelligent assistants that can move, analyze environments, interact with people, and ...

PycoClaw is a MicroPython-based platform for running AI agents on ESP32 and other microcontrollers that brings OpenClaw workspace-compatible intelligence ...

SolutionSoft Systems Inc., a leader in virtual clock and time-travel testing technology, today announced that its Time Machine software is enabling a groundbreaking operator training environment for ...