MIT
Using Machine Learning To Hunt Down Cybercriminals
Hijacking IP addresses is an increasingly popular form of cyber-attack. This is done for a range of reasons, from sending spam and malware to stealing Bitcoin. It’s estimated that in 2017 alone, routing incidents such as IP hijacks affected more than 10 percent of all the world’s routing domains. There have been major incidents at Amazon and Google and even in nation-states — a study last year suggested …
How These Shapeshifting “Roboats” Are Going To Change Watercourses
MIT’s fleet of robotic boats has been updated with new capabilities to “shapeshift,” by autonomously disconnecting and reassembling into a variety of configurations, to form floating structures in Amsterdam’s many canals. The autonomous boats — rectangular hulls equipped with sensors, thrusters, microcontrollers, GPS modules, cameras, and other hardware — are being developed as part of the …
MIT Researchers Develops A Slimy Worm Robot For Less Invasive Surgeries
MIT engineers have developed a magnetically steerable, thread-like robot that can actively glide through narrow, winding pathways, such as the labrynthine vasculature of the brain. In the future, this robotic thread may be paired with existing endovascular technologies, enabling doctors to remotely guide the robot through a patient’s brain vessels to quickly treat blockages and …
Artificial Intelligence Could Help Data Centers Run Far More Efficiently
MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy. A novel system developed by MIT researchers automatically “learns” how to schedule data-processing operations across thousands of servers — a task traditionally reserved for imprecise, human-designed algorithms. Doing so could help today’s power-hungry data centers run far more …
MIT Develops Model That Predicts Cognitive Decline Of Patients With Alzheimer’s
Researchers hope the system can zero in on the right patients to enroll in clinical trials, to speed discovery of drug treatments. A new model developed at MIT can help predict if patients at risk for Alzheimer’s disease will experience clinically significant cognitive decline due to the disease, by predicting their cognition test scores up …