Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices
New technique applied to small computer chips enables efficient vision and detection algorithms without internet connectivity.
New technique applied to small computer chips enables efficient vision and detection algorithms without internet connectivity.
A new “common-sense” approach to computer vision enables artificial intelligence that interprets scenes more accurately than other systems do.
MIT-IBM Watson AI Lab researchers aim to design concrete mixtures that use AI to shrink environmental footprint and cost, while recycling byproducts and increasing performance.
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.
The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.
Chandrakasan honored for his “contributions to ultralow-power circuits and systems, and leadership in academia and advancing diversity in the profession.”
A new AI-powered, virtual platform uses real-world physics to simulate a rich and interactive audio-visual environment, enabling human and robotic learning, training, and experimental studies.
A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.
Senior Shardul Chiplunkar aims to be a translator between the tech world and the rest of society.
MIT spinoff Fitnescity makes it easier for users to schedule health tests, work with physicians, and interpret results.
Professor Daniel Jackson explores conceptual clarity and a new theory of software design in his book “The Essence of Software.”
The MIT Mobile ID offers the same functionality a physical ID card does on campus, via an iOS or Android device.
Combining computer science, data science, and economics, Course 6-14 prepares students to address thorny quandaries in many fields.
Professor Fotini Christia is part of a team examining the challenges of implementing community policing across a range of countries.
A new machine-learning model could enable robots to understand interactions in the world in the way humans do.