On the customer-facing side, Amazon has introduced Rufus, a new generative AI-powered conversational shopping experience. It ...

The Rise of Logical Data Management by Christopher Gardner is a thoroughly researched and timely guide for understanding how ...

A new evaluation of artificial intelligence systems suggests that while modern language models are becoming more capable at ...

Over the last decade, artificial intelligence (AI) has been largely built around large language models (LLMs). These systems are based on a language and guess words in a chain in the form of tokens.

AI systems still make surprisingly simple mistakes that persist even after extensive training. They also lack the ability to think logically or to truly ‘understand’ nested input. For Michael Hahn, ...

Logical Systems and Model Theory constitute a foundational area bridging mathematics, computer science and philosophy through the formalisation of reasoning. By abstracting the essential components of ...

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, ...

Amazon Web Services is trying to move enterprise AI from renting generic models to shaping them from the inside out. With ...

Artificial intelligence is only as good as the data behind it — and that’s a big problem. A recent survey shows that only about half of executives believe their data is ready to meet the demands of AI ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

While a majority of companies embrace digitization, spreadsheets remain prevalent in R&D teams due to their flexibility and familiarity. However, this flexibility leads to unstructured data, making it ...