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.
PhD candidate Charlene Xia is developing a low-cost system to monitor the microbiome of seaweed farms and identify diseases before they spread.
MIT students collaborate with Hong Kong peers to propose fintech solutions during the MIT Entrepreneurship and Fintech Integrator.
Artificial intelligence is top-of-mind as Governor Baker, President Reif encourage students to “see yourself in STEM.”
Professors Linda Griffith and Feng Zhang along with Guillermo Ameer ScD ’99, Darrell Gaskin SM ’87, William Hahn, and Vamsi Mootha recognized for contributions to medicine, health care, and public health.
A new control system, demonstrated using MIT’s robotic mini cheetah, enables four-legged robots to jump across uneven terrain in real-time.
By combining chemotherapy, tumor injury, and immunotherapy, researchers show that the immune system can be re-engaged to destroy tumors in mice.
When asked to classify odors, artificial neural networks adopt a structure that closely resembles that of the brain’s olfactory circuitry.
APS names Bourouiba, Grego, Liu, Peacock, Winslow, and Yildiz as MIT’s newest fellows for their contributions to physics.
Co-Investigator Scientist Professor Richard Binzel discusses NASA’s latest interplanetary mission, which is co-led by Cathy Olkin ’88, PhD ’96.
As climate change brings greater threats to coastal ecosystems, new research can help planners leverage the wave-damping benefits of marsh plants.
Cardiologist Demilade Adedinsewo is using her MIT Professional Education experience to advance cardiovascular care at the Mayo Clinic.
A new machine-learning system costs less, generates less waste, and can be more innovative than manual discovery methods.
Film examines the history and international impact of the 1999 Study on the Status of Women Faculty in Science at MIT, through interviews with Nancy Hopkins and other leading scientists.
A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.
MIT EECS unveils a new effort to encourage and support women on their journey to — and through — graduate study in computing and information technologies.