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.
Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.
Political science professor will spearhead the Institute’s interdisciplinary center that studies high-impact, complex societal challenges.
Program pairs student mentors in electrical engineering and computer science with applicants from underrepresented backgrounds.
Large datasets are difficult to depict as scatterplots — but that may change with a new CSAIL project for creating interactive visualizations.
Researchers urge a holistic approach to forecasting the virus’ impact on public health and the economy.
Remarkably large cohort of graduating seniors honored for excellence in the liberal arts.
Many health issues are tied to excess fluid in the lungs. A new algorithm can detect the severity by looking at a single X-ray.
Molecular biologist and professor emerita advocates for more inclusive science and advises how to get there.
The award supports promising PhD candidates or postdocs conducting interdisciplinary research on the societal and ethical dimensions of computing.
Working remotely this summer, students worked to better understand human intelligence and to advance machine learning applications.
MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis.
MIT researchers reveal inadequacies in current battery models.
Computational model developed at MIT builds off of 2019 research examining colorblind racial attitudes through a video game.
Undergraduate engineering and computer science programs are No. 1; undergraduate business program is No. 2.
Wireless device captures sleep data without using cameras or body sensors; could aid patients with Parkinson’s disease, epilepsy, or bedsores.