Artist Ariel Aberg-Riger is author of America Redux: Visual Stories From Our Dynamic History.
Designing new compounds or alloys whose surfaces can be used as catalysts in chemical reactions can be a complex process relying heavily on the intuition of experienced chemists. A team of researchers at MIT has devised a new approach using machine learning that removes the need for intuition and provides more detailed information than conventional…
The rapid advance of artificial intelligence has generated a lot of buzz, with some predicting it will lead to an idyllic utopia and others warning it will bring the end of humanity. But speculation about where AI technology is going, while important, can also drown out important conversations about how we should be handling the…
Posted by Yangsibo Huang, Research Intern, Google Research; Chiyuan Zhang, Research Scientist, Google Research Large embedding models have emerged as a fundamental tool for various applications in recommendation systems [1, 2] and natural language processing [3, 4, 5]. Such models enable the integration of non-numerical data into deep learning models by mapping categorical or string-valued…
Will the perfect storm of potentially life-changing, artificial intelligence-driven health care and the desire to increase profits through subscription models alienate vulnerable patients? For the third year in a row, MIT’s Envisioning the Future of Computing Prize asked students to describe, in 3,000 words or fewer, how advancements in computing could shape human society for the better…
More than 2,000 years ago, the Greek mathematician Euclid, known to many as the father of geometry, changed the way we think about shapes. Building off those ancient foundations and millennia of mathematical progress since, Justin Solomon is using modern geometric techniques to solve thorny problems that often seem to have nothing to do with…
Imagine sitting on a park bench, watching someone stroll by. While the scene may constantly change as the person walks, the human brain can transform that dynamic visual information into a more stable representation over time. This ability, known as perceptual straightening, helps us predict the walking person’s trajectory. Unlike humans, computer vision models don’t…