Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

While pretraining introduces unavoidable statistical errors, the study argues that post-training and evaluation practices ...

Cyber threats don’t just hit your systems — they move through your connections. The ULM shows how those hidden links fuel ...

Two researchers at Stanford University suggest in a new preprint research paper that repeatedly optimizing large language ...

The challenges of America’s education system are reaching crisis levels, and districts need to think differently about school ...

In real-world, multi-step tasks, generative AI's inherent lack of control is a critical flaw. Because the AI produces ...

Design transforms heat into electrical energy via thermionic electron emission.

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. In ensuing decades, ...

For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that ...

The massive dataset aims to address what Apple describes as a gap in current AI image editing training. While systems like ...

The four-day workweek is picking up steam worldwide. Dozens of countries, including Ireland, Spain, and the UK, have tested ...