Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...

Learn the essential steps to launch your data science project successfully—from planning and data collection to modeling and ...

Learning how a “large language model” operates. By Kevin Roose In the second of our five-part series, I’m going to explain how the technology actually works. The artificial intelligences that powers ...

How to become a data scientist Want to start a career as a data scientist? Learn how to become a data scientist with career tips, education … ...

Lately I've been hearing a lot about common data models when it comes to SOA. As organizations attempt to figure out the data in the context of SOA they are driven many times to the notion of a common ...

Climate scientist Nadir Jeevanjee speaks on The Conversation Weekly podcast about how the pioneers of climate modelling got many of their predictions right.