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 ...

The emergence of fuzzy sets makes job-shop scheduling problem (JSSP) become better aligned with the reality. This article addresses the JSSP with fuzzy execution time and fuzzy completion time (FJSSP) ...

The power start-up operation of a nuclear power plant (NPP) increases the reactor power to the full-power condition for electricity generation. Compared to full-power operation, the power-increase ...

Health insurance companies use AI to decide which health care treatment to cover. State laws and federal agencies are now moving toward regulating these algorithms.

Because health insurance algorithms are not used to diagnose, treat or prevent disease, Congress may need to amend the definition of a medical device before the FDA can regulate those algorithms.