3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities

If you’ve watched cartoons like Tom and Jerry, you’ll recognize a common theme: An elusive target avoids his formidable adversary. This game of “cat-and-mouse” — whether literal or otherwise —…

Continue Reading 3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities

Expanding robot perception

Robots have come a long way since the Roomba. Today, drones are starting to deliver door to door, self-driving cars are navigating some roads, robo-dogs are aiding first responders, and…

Continue Reading Expanding robot perception

Explained: Generative AI’s environmental impact

  • Post author:
  • Post category:aiLATEST

In a two-part series, MIT News explores the environmental implications of generative AI. In this article, we look at why this technology is so resource-intensive. A second piece will investigate what…

Continue Reading Explained: Generative AI’s environmental impact

Algorithms and AI for a better world

  • Post author:
  • Post category:aiLATEST

Amid the benefits that algorithmic decision-making and artificial intelligence offer — including revolutionizing speed, efficiency, and predictive ability in a vast range of fields — Manish Raghavan is working to…

Continue Reading Algorithms and AI for a better world

Making the art world more accessible

In the world of high-priced art, galleries usually act as gatekeepers. Their selective curation process is a key reason galleries in major cities often feature work from the same batch…

Continue Reading Making the art world more accessible

Q&A: The climate impact of generative AI

  • Post author:
  • Post category:aiLATEST

Vijay Gadepally, a senior staff member at MIT Lincoln Laboratory, leads a number of projects at the Lincoln Laboratory Supercomputing Center (LLSC) to make computing platforms, and the artificial intelligence…

Continue Reading Q&A: The climate impact of generative AI