Artificial Intelligence

The increasing sophistication of cyber threats calls for a systemic change in the way we defend ourselves against them.

When building machine learning models to classify imbalanced data — i.

In Silicon Valley’s imagined future, AI models are so empathetic that we’ll use them as therapists. They’ll provide mental-health care for millions, unimpeded by the pesky requirements for human counselors, like the need for graduate degrees, malpractice insurance, and sleep.…

Earlier this year, when my colleague Casey Crownhart and I spent six months researching the climate and energy burden of AI, we came to see one number in particular as our white whale: how much energy the leading AI models,…

Validating machine learning models requires careful testing on unseen data to ensure robust, unbiased estimates of their performance.

Yichao “Peak” Ji is one of MIT Technology Review’s 2025 Innovators Under 35. Meet the rest of this year’s honorees.  When Yichao Ji—also known as “Peak”—appeared in a launch video for Manus in March, he didn’t expect it to go viral.…

Deep neural networks have drastically evolved over the years, overcoming common challenges that arise when training these complex models.

Agentic AI is coming of age. And with it comes new opportunities in the financial services sector. Banks are increasingly employing agentic AI to optimize processes, navigate complex systems, and sift through vast quantities of unstructured data to make decisions…

This article provides a summary of and commentary on the recent paper