Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper ...

Vonage’s partnership with Girls Who Code is more than feel-good philanthropy; it’s a blueprint for building diverse AI talent ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...

As organizations seek to attract talent, optimize operations and ensure resilience, ambient-aware environments will become a ...

Overview Mira Murati has moved from leading core products like ChatGPT at OpenAI to building a Thinking Machines Lab.Sophia ...

Many market watchers are flagging AI vendor lock-in as a risk. When it comes to technology adoption, vendor lock-in is ...

New research shows how certain orphan noncoding RNA — oncRNA — can be predictable enough to be a ‘bar code’ identifying ...

On the social internet, our fascination with analyzing the hidden messages in our culture has been flattened into one word.

The next phase of AI may unfold in the factories, warehouses and cities where the physical world is built and maintained.