Q&A: More-sustainable concrete with machine learning
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.
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A system for designing and training intelligent soft robots
“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.
Anantha Chandrakasan awarded 2022 IEEE Mildred Dresselhaus Medal
Chandrakasan honored for his “contributions to ultralow-power circuits and systems, and leadership in academia and advancing diversity in the profession.”
Generating a realistic 3D world
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.
Jelena Vučković delivers 2021 Dresselhaus Lecture on inverse-designed photonics
Electrical engineer and Stanford University professor discusses how computer software can support advanced designs and new functionalities.
Taking some of the guesswork out of drug discovery
A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.
How MIT students are transforming the art of narrative
A new exhibition explores the possibilities of virtual storytelling.
In MIT visit, Dropbox CEO Drew Houston ’05 explores the accelerated shift to distributed work
Houston discusses leading the company through the pandemic in a fireside chat hosted by the MIT Schwarzman College of Computing.
Adedolapo Adedokun named 2023 Mitchell Scholar
The MIT senior will pursue postgraduate studies in intelligent systems in Ireland.
Design’s new frontier
Mechanical engineers are using cutting-edge computing techniques to re-imagine how the products, systems, and infrastructures we use are designed.
Dexterous robotic hands manipulate thousands of objects with ease
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.
Giving robots social skills
A new machine-learning system helps robots understand and perform certain social interactions.
Toward speech recognition for uncommon spoken languages
Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.
Taming the data deluge
A National Science Foundation-funded team will use artificial intelligence to speed up discoveries in physics, astronomy, and neuroscience.
3 Questions: Investigating a long-standing neutrino mystery
Graduate student Nicholas Kamp describes the MicroBooNE experiment and its implications for our understanding of fundamental particles.