The philosophical puzzle of rational artificial intelligence
As AI technology advances, a new interdisciplinary course seeks to equip students with foundational critical thinking skills in computing.
As AI technology advances, a new interdisciplinary course seeks to equip students with foundational critical thinking skills in computing.
New research detects hidden evidence of mistaken correlations — and provides a method to improve accuracy.
“MorphoChrome,” developed at MIT, pairs software with a handheld device to make everyday objects iridescent.
New technique could improve the scalability of trapped-ion quantum computers, an essential step toward making them practically useful.
With support from the Siegel Family Endowment, the newly renamed MIT Siegel Family Quest for Intelligence investigates how brains produce intelligence and how it can be replicated to solve problems.
“MechStyle” allows users to personalize 3D models, while ensuring they’re physically viable after fabrication, producing unique personal items and assistive technology.
While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.
The program recognizes outstanding mentorship of graduate students.
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
A new method could enable users to design portable medical devices, like a splint, that can be rapidly converted from flat panels to a 3D object without any tools.
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
Top stories highlighted the Institute’s leading positions in world and national rankings; new collaboratives tackling manufacturing, generative AI, and quantum; how one professor influenced hundreds of thousands of students around the world; and more.
Concrete batteries, AI-developed antibiotics, the ozone’s recovery, and a more natural bionic knee were some of the most popular topics on MIT News.
From robotics to apps like “NerdXing,” senior Julianna Schneider is building technologies to solve problems in her community.
CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.