In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for conditions from Alzheimer’s to cancer, eliminating the need to build separate ...

A better model would take these factors into account to offer a more realistic recommendation, perhaps by providing an option ...

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

A Google DeepMind invention that uses artificial intelligence (AI) to predict how DNA mutations behave could have a ...

It could transform our understanding of why diseases develop and the medicines needed to treat them, says researchers.

As artificial intelligence applications proliferate across healthcare, the model context protocol is an emerging industry standard that defines how AI systems, large language models and agent-based ...

Choosing AI in 2026 is no longer about picking the most powerful model; it is about matching capabilities to tasks, risks, and business outcomes.

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Is your AI model secretly poisoned? 3 warning signs ...

Understanding GPU memory requirements is essential for AI workloads, as VRAM capacity--not processing power--determines which models you can run, with total memory needs typically exceeding model size ...

A relatively simple experiment involving asking a generative AI to compare two objects of very different sizes allows us to ...

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, ...