AI

This post is co-written by Mark Warner, Principal Solutions Architect for Thales, Cyber Security Products. As generative AI applications make their way into production environments, they integrate with a wider range of business systems that process sensitive customer data. This integration introduces new challenges around protecting personally identifiable information (PII) while maintaining the ability to […]

Venture capitalist Alexa von Tobel is ready to bet on quantum computing—starting with hardware.

MIT Department of Mathematics researchers David Roe ’06 and Andrew Sutherland ’90, PhD ’07 are among the inaugural recipients of the Renaissance Philanthropy and XTX Markets’ AI for Math grants.  Four additional MIT alumni — Anshula Gandhi ’19, Viktor Kunčak SM ’01, PhD ’07; Gireeja Ranade ’07; and Damiano Testa PhD ’05 — were also

This post was written with Sarah Ostermeier from Comet. As enterprise organizations scale their machine learning (ML) initiatives from proof of concept to production, the complexity of managing experiments, tracking model lineage, and managing reproducibility grows exponentially. This is primarily because data scientists and ML engineers constantly explore different combinations of hyperparameters, model architectures, and

Mark Zuckerberg’s company faces backlash after rowing back promises to create between 300 and 500 new jobs to man its subsidiary’s new data center.

Tech got what it wanted by electing Trump. A year later, it looks more like a suicide pact.

The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, and Meta have drawn on their training data to help researchers design tens of millions of new materials. But when it comes to designing materials with

The Martin Trust Center for MIT Entrepreneurship strives to teach students the craft of entrepreneurship. Over the last few years, no technology has changed that craft more than artificial intelligence. While many are predicting a rapid and complete transformation in how startups are built, the Trust Center’s leaders have a more nuanced view. “The fundamentals

A sci-fi idea is gaining supporters, from billionaires to city councils. Whether it’s feasible is another matter.

A fundamental technique lets researchers use a big, expensive model to train another model for less.