Physical AI demands real-world orientation: agents need spatial grounding, sensors, and context beyond language.

The most widely adopted computer language in history, COBOL is now causing a host of problems. It's also dangerously difficult to remove.

Shrewd companies will this year identify and address the blind spots that slow progress, before adding more technology.

Happy Friday! This Friday the 13th, we’re haunted by the MacBook Neo and for no good reason. It’s like we never learn the ...

An API gateway is like the main entrance and security guard for all these conversations. But, the tech world moves fast, and just having any old gateway isn’t really going to cut it anymore. You need ...

The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...

Space may be the next frontier for the AI infrastructure boom, but it will take some work to make that happen, Nvidia CEO ...

Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

From simulation‑driven development to real‑world execution, Microsoft and NVIDIA are helping manufacturers leverage AI to ...

The soaring cost and limited supply of computer memory is slowing some projects — and spurring creative approaches.

Whether AI broadens prosperity or accelerates its concentration will depend less on what the models can do than on the choices leaders make right now.

AI, hybrid cloud, and quantum: three big shifts happening at IBM.