For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...

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 ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...

Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures ...

Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine ...

A quantum computer assists an AI model with calculations that would take weeks to figure out with a normal computer.

Background Early identification of patients at risk of heart failure (HF) provides opportunities for preventative management. Though models have been developed to predict HF incidence, their ...

Read more about AI can’t deliver climate gains without strong governance and capacity building on Devdiscourse ...