Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

New research on so-called “negation neglect” finds that LLMs in a roughly analogous situation don’t behave that way. They appear to learn from the statistical patterns in their training text more than ...

Composer 2.5 brings stronger long running coding performance to Cursor, with targeted RL, Kimi K2.5 foundations, new pricing, ...

Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while boosting reasoning accuracy.

A new report from RUSI focuses on how AI models are enabling regimes such as North Korea and Iran to execute cyber operations ...

Researchers from the Universidad Politécnica Salesiana in Ecuador have developed an interactive analytical framework designed to help universities move digital transformation from broad strategy ...

Armed with some Python and a white-hot sense of injustice, one medical student spent six months trying to figure out whether an algorithm trashed his job application.

Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

This guide explores how to get started in cybersecurity, including the skills you should have in your toolkit, what experts ...

This practice had to change when the European Union introduced Right to be Forgotten (RTBF)—first in 2014, as a standalone ...

As AI models continue to get more powerful, it’s not too surprising that some people are trying to use them for crime. The Google Threat Intelligence Group said on Monday that it has identified, for ...

The landscape of retail trading has shifted more in the last three years than in the previous thirty. AI-driven systems now account for the majority of volume across crypto markets and a growing share ...