Master the data tools you need—from numerical linear algebra to convex programming—to make smarter decisions and drive enhanced results. Taught by MIT CSAIL's Justin Solomon and MIT IDSS's Suvrit Sra.
MIT researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output. The advance could enhance safety and efficiency in AI-assisted decision making.
It’s no secret that algorithms run the world, powering everything from Google’s search results to Uber’s car-pool capabilities. But farther under the hood are a more fundamental set of algorithms that underpin computing: if Google PageRank is the engine, these algorithms are the parts it’s built from.
One paradox about antibiotics is that, broadly speaking, the more we use them, the less they continue to work. The Darwinian process of bacteria growing resistant to antibiotics means that, when the drugs don't work, we can no longer treat infections, leading to groups like the World Health Organization warning about our ability to control major public health threats.
In an update to a five-year project from CSAIL and the Senseable City Lab, researchers have been developing the world's first fleet of autonomous boats for the City of Amsterdam, the Netherlands, and have recently added a new, larger vessel to the group: “Roboat II.”
Researchers at CSAIL recently made a major development in the area of lost languages: a new system that has been shown to be able to automatically decipher a lost language, without needing advanced knowledge of its relation to other languages.
A group led by researchers at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) has developed a machine learning model that can look at an X-ray to quantify how severe the edema is, on a four-level scale ranging from 0 (healthy) to 3 (very, very bad). The system determined the right level more than half of the time, and correctly diagnosed level 3 cases 90 percent of the time.
MIT researchers have developed a wireless, private way to monitor a person’s sleep postures — whether snoozing on their back, stomach, or sides — using reflected radio signals from a small device mounted on a bedroom wall.
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.
