New system enables realistic variations in glossiness across a 3D-printed surface. The advance could aid fine art reproduction and the design of prosthetics.
Choosing the right shape will be vital for your robot’s ability to traverse a particular terrain. And it’s impossible to build and test every potential form. But now an MIT-developed system makes it possible to simulate them and determine which design works best.
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.
Modern health care has been reinvigorated by the widespread adoption of artificial intelligence. From speeding image analysis for radiology to advancing precision medicine for personalized care, AI has countless applications, but can it rise to the challenge in the fight against Covid-19?
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.”
MIT and Accenture announced a five-year collaboration that will further advance learning and research through new business convergence insights in technology and innovation. The MIT and Accenture Convergence Initiative for Industry and Technology, established within the School of Engineering, will aim to draw faculty, researchers, and students from across MIT.
Machine learning is a computational tool used by many biologists to analyze huge amounts of data, helping them to identify potential new drugs. MIT researchers have now incorporated a new feature into these types of machine-learning algorithms, improving their prediction-making ability.
