Women’s Technology Program 2021: The sweet sound of success
Now in its 19th year, the WTP brings high school students with little STEM experience to Cambridge for an immersive, four-week exploration of all things engineering.
Making machine learning more useful to high-stakes decision makers
A visual analytics tool helps child welfare specialists understand machine learning predictions that can assist them in screening cases.
Artificial intelligence sheds light on how the brain processes language
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.
MIT welcomes Virginia Rometty as its next visiting innovation fellow
Former head of IBM will focus on advancing women in STEM and entrepreneurship, and bolstering ethics and responsibility in a digital age.
At Mass STEM Week kickoff, MIT RAISE announces Day of AI
Artificial intelligence is top-of-mind as Governor Baker, President Reif encourage students to “see yourself in STEM.”
One giant leap for the mini cheetah
A new control system, demonstrated using MIT’s robotic mini cheetah, enables four-legged robots to jump across uneven terrain in real-time.
Cynthia Breazeal named senior associate dean for open learning
Social robotics and artificial intelligence pioneer will oversee business units and help to guide innovative learning initiatives.
Artificial networks learn to smell like the brain
When asked to classify odors, artificial neural networks adopt a structure that closely resembles that of the brain’s olfactory circuitry.
How the brain navigates cities
We seem to be wired to calculate not the shortest path but the “pointiest” one, facing us toward our destination as much as possible.
Putting artificial intelligence at the heart of health care — with help from MIT
Cardiologist Demilade Adedinsewo is using her MIT Professional Education experience to advance cardiovascular care at the Mayo Clinic.
Accelerating the discovery of new materials for 3D printing
A new machine-learning system costs less, generates less waste, and can be more innovative than manual discovery methods.
These neural networks know what they’re doing
A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.
Thriving Stars: An initiative to improve gender representation in electrical engineering and computer science
MIT EECS unveils a new effort to encourage and support women on their journey to — and through — graduate study in computing and information technologies.
Deep learning helps predict traffic crashes before they happen
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.