MIT explains neural networks and how deep learning has led to the recent revival of neural networks, which have been going in and out of fashion for more than 70 years.
[email protected] is a new artificial intelligence from MIT CSAIL that aims to develop new “human-like systems” for data science and other fields.
The Ethics and Governance of Artificial Intelligence Fund’s mission is to catalyze global research that advances AI for the public interest, with an emphasis on applied research and education.
A new computer system developed by MIT can automatically screen young children for speech and language disorders and, potentially, even provide specific diagnoses.
As MIT course challenges students to reinvent 3D printing, professor John Hart aims to share approach with others.
Robot unfolds from ingestible capsule, removes button battery stuck to wall of simulated stomach.
MIT’s new AI artificial intelligence platform combs through data and detects suspicious activity using unsupervised machine-learning. It then presents this activity to human analysts, who confirm which events are actual attacks, and incorporate that feedback into its models for the next set of data.
MIT’s method of printing solid and liquid materials simultaneously allows them to create robotic structures that can be hydraulically powered.
Robots tend to overwhelm their human colleagues with too much information. MIT has discovered how to solve this problem.
“If you had perfect, connected autonomous vehicles on the road tomorrow, it would still take 20 to 30 years to turn over the fleet.”
MIT’s “Eyeriss” chip is 10 times as efficient as a mobile GPU and could enable mobile devices to run powerful AI algorithms locally, rather than uploading data to the Internet for processing.
Minsky viewed the brain as a machine whose functioning can be studied and replicated in a computer. Minsky helped create the vision of artificial intelligence as we know it today.
Developed in collaboration with the MIT Media Lab and Tufts University, the PBS KIDS ScratchJr app helps children ages 5-8 learn coding concepts.
The project aims to improve assistive devices that can help maintain or correct the gait of people recovering from strokes.