Demystifying the world of deep networks
Researchers discover that no magic is required to explain why deep networks generalize despite going against statistical intuition.
Researchers discover that no magic is required to explain why deep networks generalize despite going against statistical intuition.
Highly regarded physicist was well-known for studying plasma turbulence in terms of coherent structures.
Speakers at MIT climate symposium outline the steps needed to achieve global carbon neutrality by midcentury.
Ciara Sivels ’13 takes unusual path to a research career in nuclear engineering for national security.
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
Computer and data science graduates learned to forge their own destinies while gaining employable skills.
New members have made advances in computer architecture, network coding, ocean engineering, higher education, and quantum computation.
A new graduate certificate offered through the Bernard M. Gordon-MIT Engineering Leadership Program will launch this fall.
MIT cryptography expert and election technology developer explains how to verify an election outcome.
System ensures hackers eavesdropping on large networks can’t find out who’s communicating and when they’re doing so.
Aerogels for solar devices and windows are more transparent than glass.
High-scoring 100&Change applications featured in Bold Solutions Network.
Whisk-shaped device absorbs trace contaminants, preserves them in dry state that can be shipped to labs for analysis.
Most materials have a fixed ability to conduct heat, but applying voltage to this thin film changes its thermal properties drastically.
MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.