Recent research introduces a machine learning capable of predicting whether a driver is likely to be involved in an accident before they get behind the wheel. The significance of this work lies in its proactive and developmental focus. Instead of reacting to accidents after they occur, the proposed framework enables transportation companies to evaluate risk tendencies prior to deployment.

AI and data servers consume more than 10% of the nation's energy output—and it’s expected to double by 2030.Seeking to head off an unsustainable path of power consumption, researchers have developed a proof-of-concept for efficient AI systems that could use 100 times less energy to train than current ones, while at the same time providing more accurate results on tasks

Researchers have developed a new kind of nanoelectronic device that could dramatically cut the energy consumed by artificial intelligence hardware by mimicking the human brain.