A better model would take these factors into account to offer a more realistic recommendation, perhaps by providing an option ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide ...

Key Takeaways - Utah’s approval of a new Regulatory Mitigation Agreement (RMA) to pilot AI in the prescription refill process adds to ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

The path to AI success starts with a single, well-chosen use case: one that is bold enough to inspire, urgent enough to ...

The world of visual content creation has undergone a significant transformation thanks to the rise of AI image models. These ...

AI model testing is being gamed and AI leaderboard rankings can be tricked. An Oxford review found issues in nearly half of ...

As AI reshapes job applications, companies focus less on titles and more on what candidates can actually do.

NotebookLM now searches the web and Drive inside your workspace, helping you find sources quickly and turn findings into ...

Have you ever had the experience of rereading a sentence multiple times only to realize you still don't understand it? As ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...