Staying ahead of the artificial intelligence curve with help from MIT
Intelenz co-founder Renzo Zagni credits MIT for the know-how he needed to launch his company and grow its AI-enabled offerings.
Department
Electrical Engineering and Computer Science
Algorithm reduces use of riskier antibiotics for UTIs
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.
Using machine learning to track the pandemic’s impact on mental health
Textual analysis of social media posts finds users’ anxiety and suicide-risk levels are rising, among other negative trends.
Researchers develop a high-power, portable terahertz laser
The instrument could bring powerful sensing and imaging capabilities out of the lab and into hospitals, airports, or other settings.
An underwater navigation system powered by sound
New approach could spark an era of battery-free ocean exploration, with applications ranging from marine conservation to aquaculture.
AI Cures: data-driven clinical solutions for Covid-19
MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management.
Leveraging a 3D printer “defect” to create a new quasi-textile
Tulle-like DefeXtiles can be 3D printed with no custom software or hardware.
Autonomous boats could be your next ride
Five years in the making, MIT’s autonomous floating vessels get a size upgrade and learn a new way to communicate aboard the waters.
Electronic design tool morphs interactive objects
MorphSensor lets users digitally model an object’s form and electronic function in one integrated space.
Masks for safety, money for food
MIT senior Will Archer puts his entrepreneurial skills to work while raising funds for a local food bank.
Translating lost languages using machine learning
System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history.
Learning by doing, remotely
Despite the disruption caused by the pandemic, MIT students have carved out meaningful hands-on experiences.
Machine learning uncovers potential new TB drugs
Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.
Mentorship program encourages underrepresented graduate applicants in EECS
Program pairs student mentors in electrical engineering and computer science with applicants from underrepresented backgrounds.
Generating photons for communication in a quantum computing system
New technique provides a means of interconnection between processors, opening the way to a complete quantum computing platform.