At CES, Lenovo broke from industry incrementalism by outlining a unified AI roadmap that connects personal devices, data centers, and orchestration — positioning itself as a strategic leader, not just ...

The platform has become a core technology around the world, relied on by governments and extended families alike. What are we ...

During a high school job shadow, Valentina Ratner found the ATM repair team more interesting than finance. Years later, she ...

Outsourcing certain tasks can help you save money you'd otherwise spend on non-revenue-producing employees. Here's how and ...

Read our live updates from CES 2026 in Las Vegas to see the latest consumer gadgetry in all of its chatbot-enabled, ...

High school sophomore Abigail Merchant has made it her mission to use technology to reduce flood-related deaths. The ...

Three AI engineers explain how returning to school, internships, and college relationships led to jobs at startups and major ...

SINGAPORE, Dec 17 (Reuters) - In a high-security Shenzhen laboratory, Chinese scientists have built what Washington has spent years trying to prevent: a prototype of a machine capable of producing the ...

Thanks to Sujit Vasanth for producing a quantized exllamav2 version of OpenCUA-7B — enabling much faster inference with lower VRAM usage. 1. Multimodal Rotary Position Embedding (M-RoPE) has been ...

Space and time aren’t just woven into the background fabric of the universe. To theoretical computer scientists, time and space (also known as memory) are the two fundamental resources of computation.

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.