One reason that cyberattacks have continued to grow in recent years is that we never actually learn all that much about how they happen. Companies fear that reporting attacks will tarnish their public image, and even those who do report them don’t share many details because they worry that their competitors will gain insight into their security practices.
In a new study at the European Conference on Computer Vision last month, researchers unveiled a hybrid language-vision model that can compare and contrast a set of dynamic events captured on video to tease out the high-level concepts connecting them.
The U.S. National Science Foundation (NSF) announced today an investment of more than $100 million to establish five artificial intelligence (AI) institutes, each receiving roughly $20 million over five years. One of these, the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), will be led by MIT’s Laboratory for Nuclear Science (LNS) and become the intellectual home of more than 25 physics and AI senior researchers at MIT and Harvard, Northeastern, and Tufts universities.
When a natural disaster occurs, on-the-ground emergency response teams act quickly to make life-saving decisions. Reducing the response time in such situations is critical to reduce damage impact and save lives. Helpful efforts are being taken to reduce the burden, such as a damage assessment tool by UNDP, though few automated methods exist. In recent work, MIT is creating tools that can automatically analyze images.