A new demo by the MIT-IBM Watson AI Lab reveals what a model trained on scenes of churches and monuments decides to leave out when it draws its own version of, say, the Pantheon in Paris, or the Piazza di Spagna in Rome. The larger study, Seeing What a GAN Cannot Generate, was presented at the International Conference on Computer Vision last week.

An artificial intelligence model co-developed at MIT shows in striking detail what makes some images stick in our minds.

Edelman was cited for “for outstanding breakthroughs in high-performance computing, linear algebra, and computational science and for contributions to the Julia programming language.”

After years of tackling numerous design and manufacturing challenges, MIT researchers have built a modern microprocessor from carbon nanotube transistors, which are widely seen as a faster, greener alternative to their traditional silicon counterparts.

Stock market investors often rely on financial risk theories that help them maximize returns while minimizing financial loss due to market fluctuations. These theories help investors maintain a balanced portfolio to ensure they’ll never lose more money than they’re willing to part with at any given time.

From 3-D printing to 3-D knitting, CSAIL researchers venture to streamline design technology through AI. The computer-aided design tool allows for customization of patterns based on user preferences with minimal programming knowledge needed.

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are working on the problem, and have developed a new system called “Minerva” that allows multiple people to stream video over a single network with minimal buffering and pixelation.

For years, MIT Associate Professor Adam Chlipala has been toiling away behind behind-the-scenes, developing tools to help programmers more quickly and easily generate their code — and prove it does what it’s supposed to do.