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.
Department
Electrical Engineering and Computer Science
Why it’s critical to move beyond overly aggregated machine-learning metrics
New research detects hidden evidence of mistaken correlations — and provides a method to improve accuracy.
A new way to “paint with light” to create radiant, color-changing items
“MorphoChrome,” developed at MIT, pairs software with a handheld device to make everyday objects iridescent.
Helping companies with physical operations around the world run more intelligently
Founded by two MIT alumni, Samsara’s platform gives companies a central hub to learn from their workers, equipment, and other infrastructure.
Efficient cooling method could enable chip-based trapped-ion quantum computers
New technique could improve the scalability of trapped-ion quantum computers, an essential step toward making them practically useful.
At MIT, a continued commitment to understanding intelligence
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.
Generative AI tool helps 3D print personal items that sustain daily use
“MechStyle” allows users to personalize 3D models, while ensuring they’re physically viable after fabrication, producing unique personal items and assistive technology.
3 Questions: How AI could optimize the power grid
While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.
Eighteen MIT faculty honored as “Committed to Caring” for 2025-27
The program recognizes outstanding mentorship of graduate students.
A new lens on humanity
The inaugural MIT Human Insight Collaborative (MITHIC) Annual Event showcased the breadth of projects supported in the first year of the presidential initiative.
AI-generated sensors open new paths for early cancer detection
Nanoparticles coated with molecular sensors could be used to develop at-home tests for many types of cancer.
MIT scientists investigate memorization risk in the age of clinical AI
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
One pull of a string is all it takes to deploy these complex structures
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.
“Wait, we have the tech skills to build that”
From robotics to apps like “NerdXing,” senior Julianna Schneider is building technologies to solve problems in her community.
Guided learning lets “untrainable” neural networks realize their potential
CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.