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

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 ...

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 ...

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

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 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 ...

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

According to Karpathy, this new kind of coding is “where you fully give in to the vibes, embrace exponentials, and forget that the code even exists." In his words, "It's not really coding – I just see ...

Mashable looks into three of the most popular AI-powered chatbot tutors and whether they actually make learning easier.

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 ...

AingA.I.'s founder and CEO Kirt Ejesiak says he doesn’t really see much Inuit representation in the AI field, so he wanted to create something that’ll benefit Inuit in the form of an AI-powered ...