A common lab setup can inflate 2D transistor performance by up to five times, raising questions about how future chips are ...

MIT CSAIL's 2025 AI Agent Index puts opaque automated systems under the microscope AI agents are becoming more common and ...

For nearly two decades, two-dimensional (2D) semiconductors have been studied as a complement or possible successor to silicon transistors, promising smaller, faster and more energy-efficient ...

Sheriff Jim Skinner opens the door to a high‑security digital forensics lab, driving a multistate investigation into a ...

A T LOVABLE’S HEADQUARTERS in Stockholm the decor suits the startup’s cosy name. The firm, which specialises in “vibe-coding”—prompting an artificial-intelligence system to make software—has a ...

An excess of ride-hailing drivers in Seattle is driving down wages and increasing pollution and traffic jams, a drivers union ...

In a post on X, Hegseth designated Anthropic a supply-chain risk: “Effective immediately, no contractor, supplier, or partner ...

Lab architecture used to test 2D semiconductors artificially boosts performance metrics, making it harder to assess whether these materials can truly replace silicon.

The future of decentralized finance (DeFi) has gone beyond just smart contracts with the mass adoption of artificial intelligence (AI). There is now a growing ...

Duke engineers show how a common device architecture used to test 2D transistors overstates their performance prospects in real-world devices.

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...

Singapore is set to introduce new regulations for data centres and cloud service providers while welcoming a new AI chip test ...