How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

Scalable, production-level AI requires two bases: the known sources of human knowledge and a reliable data infrastructure.

Humans rely on abstraction and conceptual frameworks, whereas AI systems apply statistical or rule-based methods, each with limits. Bridging these approaches could pave the way for more flexible, ...

Learn how RAG, fine-tuning, source optimization, and human experts can team up for better AI translation and fewer ...

The White House has launched its new Presidential AI Challenge to spur students and teachers to solve problems in their schools and communities with the help of AI. The goal, the White House says, is ...

The most well-known artificial intelligence application everyone sees today is generative AI—often called GenAI. GenAI powers chatbots like Alexa, Siri and ChatGPT, and it helps summarize our internet ...

The profession is beginning to train oratory back into relevance. Presence, connection, and advocacy—long treated as ...

This means that when information about Africa is scarce, or stereotypical, AI systems will simply lean on old narratives. As ...

The 'six questions' proposed by Zhou Bowen cover multiple key aspects of AI empowering scientific research. The first is the 'Boundary Question,' which explores the possibility of artificial ...

The issue of false AI insights is an urgent challenge as enterprises increase their use of generative tools. Despite widespread enthusiasm about AI adoption, there’s also a strong current of criticism ...

New laptop, pouch for the school's phone prohibition, and (hopefully) ample AI literacy. Whether students like it or not, AI ...

Artificial intelligence is reshaping societies worldwide, but its development is currently steered by capitalist monopolies.