AI

The Martin Trust Center for MIT Entrepreneurship announced that Ana Bakshi has been named its new executive director. Bakshi stepped into the role at the start of the fall semester and will collaborate closely with the managing director, Ethernet Inventors Professor of the Practice Bill Aulet, to elevate the center to higher levels. “Ana is uniquely […]

The new TX-Generative AI Next (TX-GAIN) computing system at the Lincoln Laboratory Supercomputing Center  (LLSC) is the most powerful AI supercomputer at any U.S. university. With its recent ranking from  TOP500, which biannually publishes a list of the top supercomputers in various categories, TX-GAIN joins the ranks of other powerful systems at the LLSC, all supporting

OpenAI’s latest app encourages users to generate a personal digital avatar and scroll AI-generated videos of themselves and their friends.

This post is cowritten with Thomas Voss and Bernhard Hersberger from Hapag-Lloyd. Hapag-Lloyd is one of the world’s leading shipping companies with more than 308 modern vessels, 11.9 million TEUs (twenty-foot equivalent units) transported per year, and 16,700 motivated employees in more than 400 offices in 139 countries. They connect continents, businesses, and people through

This post was co-written with Shriram Sridharan, Taeuk Kang, and Santhosh Kumar Manavasi Lakshminarayanan from Rox. Rox is building a new revenue operating system for the applied AI era. Modern revenue teams rely on more data than ever before, such as Customer Relationship Management (CRM) systems, marketing automation, finance systems, support tickets, and live product

Thinking Machines Lab, led by a group of prominent former OpenAI researchers, is betting that fine tuning cutting-edge models will be the next frontier in AI.

A Harvard Business School study shows that several AI companions use various tricks to keep a conversation from ending.

California-based Cognixion is launching a clinical trial to allow paralyzed patients with speech disorders the ability to communicate without an invasive brain implant.

Fraud continues to cause significant financial damage globally, with U.S. consumers alone losing $12.5 billion in 2024—a 25% increase from the previous year according to the Federal Trade Commission. This surge stems not from more frequent attacks, but from fraudsters’ increasing sophistication. As fraudulent activities become more complex and interconnected, conventional machine learning approaches fall short

Thirty years ago, a peace-loving Austrian theologian spoke to Peter Thiel about the apocalyptic theories of Nazi jurist Carl Schmitt. They’ve been a roadmap for the billionaire ever since.