New computer vision method helps speed up screening of electronic materials
The technique characterizes a material’s electronic properties 85 times faster than conventional methods.
A data-driven approach to making better choices
In the new economics course 14.163 (Algorithms and Behavioral Science), students investigate the deployment of machine-learning tools and their potential to understand people, reduce bias, and improve society.
Mouth-based touchpad enables people living with paralysis to interact with computers
The startup Augmental allows users to operate phones and other devices using their tongue, mouth, and head gestures.
Helping robots grasp the unpredictable
MIT CSAIL’s frugal deep-learning model infers the hidden physical properties of objects, then adapts to find the most stable grasps for robots in unstructured environments like homes and fulfillment centers.
A technique for more effective multipurpose robots
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
Looking for a specific action in a video? This AI-based method can find it for you
A new approach could streamline virtual training processes or aid clinicians in reviewing diagnostic videos.
Controlled diffusion model can change material properties in images
“Alchemist” system adjusts the material attributes of specific objects within images to potentially modify video game models to fit different environments, fine-tune VFX, and diversify robotic training.
School of Engineering welcomes new faculty
Fifteen new faculty members join six of the school’s academic departments.
2024 MAD Design Fellows announced
The 10 Design Fellows are MIT graduate students working at the intersection of design and multiple disciplines across the Institute.
Scientists use generative AI to answer complex questions in physics
A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.
Using ideas from game theory to improve the reliability of language models
A new “consensus game,” developed by MIT CSAIL researchers, elevates AI’s text comprehension and generation skills.
A better way to control shape-shifting soft robots
A new algorithm learns to squish, bend, or stretch a robot’s entire body to accomplish diverse tasks like avoiding obstacles or retrieving items.
Exploring the mysterious alphabet of sperm whales
MIT CSAIL and Project CETI researchers reveal complex communication patterns in sperm whales, deepening our understanding of animal language systems.
President Sally Kornbluth and OpenAI CEO Sam Altman discuss the future of AI
The conversation in Kresge Auditorium touched on the promise and perils of the rapidly evolving technology.
Creating bespoke programming languages for efficient visual AI systems
Associate Professor Jonathan Ragan-Kelley optimizes how computer graphics and images are processed for the hardware of today and tomorrow.