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.
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.
Saving seaweed with machine learning
PhD candidate Charlene Xia is developing a low-cost system to monitor the microbiome of seaweed farms and identify diseases before they spread.
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.
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.
At the crossroads of language, technology, and empathy
With a double major in linguistics and computer science, senior Rujul Gandhi works to surmount language and cultural barriers, globally and on campus.
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.
Enabling AI-driven health advances without sacrificing patient privacy
Secure AI Labs, founded by alumna Anne Kim and MIT Professor Manolis Kellis, anonymizes data for AI researchers.
3 Questions: Kalyan Veeramachaneni on hurdles preventing fully automated machine learning
Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?