The LLM group showed "weaker memory traces, reduced self-monitoring and fragmented authorship," the study authors wrote. That ...

Discover the 7 habits that make the top 1% of AI users so effective. Learn actionable strategies to boost productivity and ...

In this article, we explore how AI agents are reshaping software development and the impact they have on a developer’s ...

Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.

If you want to avoid being the latest casualty of the AI innovation wave, it’s critical to learn how to effectively prompt in ...

With a record number of patients being admitted to A&E, here’s how to ease the experience if you unexpectedly become one of ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Limit order (blue line) instead waits for a seller to cross the spread. This order is “advertised” (lit), so the seller knows the buyer exists, and when a seller crosses the spread, the buyer saves ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion remains a formidable technical hurdle. A new global study takes on this ...

AI agent against trade algorithms Velvet Capital, a DeFi asset management platform, is challenging the dominance of trading algorithms with its innovative AI-driven project, Velvet Unicorn.

Both the fears and promises around algorithms in the courtroom, however, assume judges are consistently using them. Esthappan’s study shows that’s a flawed assumption at best.