This tiny chip can safeguard user data while enabling efficient computing on a smartphone
Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.
Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.
Such discoveries help researchers better understand the development of molecular complexity in space during star formation.
A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.
Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth's surface. Their techniques could improve weather and drought prediction.
MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.
Combining engineering, earth system science, and the social sciences, Course 1-12 prepares students to develop climate solutions.
MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.
The MIT Schwarzman College of Computing building will form a new cluster of connectivity across a spectrum of disciplines in computing and artificial intelligence.
Graduate student Hammaad Adam is working to increase the supply of organs available for transplants, saving lives and improving health equity.
By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.
Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.
New research by a team of MIT engineers offers a guide for fine-tuning specific material properties.
The 16 finalists — representing every school at MIT — will explore generative AI’s impact on privacy, art, drug discovery, aging, and more.
The new approach “nudges” existing climate simulations closer to future reality.