A tool to speed development of new solar cells
A new computational simulator can help predict whether changes to materials or design will improve performance in new photovoltaic cells.
A new computational simulator can help predict whether changes to materials or design will improve performance in new photovoltaic cells.
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.
The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.
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.
A new machine-learning model could enable robots to understand interactions in the world in the way humans do.
Houston discusses leading the company through the pandemic in a fireside chat hosted by the MIT Schwarzman College of Computing.
Mechanical engineers are using cutting-edge computing techniques to re-imagine how the products, systems, and infrastructures we use are designed.
A life-detecting radar, a microscale motor, and a quantum network architecture are among this year's most innovative new technologies.
Model-free framework reorients over 2,000 diverse objects with a hand facing both upward and downward, in a step toward more human-like manipulation.
Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.
The Common Ground for Computing Education is facilitating collaborations to develop new classes for students to pursue computational knowledge within the context of their fields of interest.
A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.