There has been growing interest in the adoption of complex systems approaches to tackle major public health challenges such as obesity. This perspective redirects focus from individually oriented and ...

Before then, connecting large language models to real-world data and enterprise systems meant juggling dozens of custom APIs ...

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

Anthropic says its most advanced systems may be learning not just to reason, but to reflect internally on how they reason.

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

The government's plan draws from the US, China, and Singapore, where school buses are equipped with tracking systems to ...

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 ...

This article was originally published by Canary Media. Eavor, an advanced-geothermal startup, says it has significantly ...

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...

If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?