Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

Researchers at a Melbourne start-up have taught their “biological computer” made from living human brain cells to play Doom.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Introduction Envision our digital world as a sprawling universe filled with glittering constellations of encrypted data, each packet of information ...

While Anthropic’s Claude Code grabbed headlines, IBM has been deploying its own generative AI solution, Watsonx Code Assistant for Z, designed to modernize the very mainframes it built. Unlike general ...

A REST API (short for Representational State Transfer Application Programming Interface) is a way two separate pieces of ...

Keeping up with the latest malware threats is a full-time job, and honestly, it’s getting pretty intense. From AI messing with things to attackers getting sneakier, it’s a lot to handle. This article ...

AI startup Anthropic's claim of automating COBOL modernization sent IBM's stock plummeting, wiping billions off its market value. The decades-old language, still powering critical systems, faces a ...

IBM’s ( IBM) Software and Chief Commercial Officer, Rob Thomas, wrote in a Monday blog post that translating COBOL code isn’t equivalent to modernizing enterprise systems, emphasizing that platform ...

Rolling coverage of the latest economic and financial news ...

TIOBE Index for February 2026: Top 10 Most Popular Programming Languages Your email has been sent February’s TIOBE Index shows a leaderboard that looks steady at first glance, but small shifts beneath ...

Container instances. Calling docker run on an OCI image results in the allocation of system resources to create a ...