Report outlines route toward better jobs, wider prosperity
MIT Task Force on the Work of the Future identifies ways to align new technologies with durable careers.
System brings deep learning to “internet of things” devices
Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency.
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.
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.
Artificial intelligence model detects asymptomatic Covid-19 infections through cellphone-recorded coughs
Results might provide a convenient screening tool for people who may not suspect they are infected.
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.
Stressed on the job? An AI teammate may know how to help
Researchers are working toward intelligent machines that can sense cognitive fatigue and suggest interventions to help a human improve performance.
“What to Expect When You’re Expecting Robots”
Book co-authored by Associate Professor Julie Shah and Laura Major SM ’05 explores a future populated with robot helpers.
Translating lost languages using machine learning
System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history.
A global collaboration to move artificial intelligence principles to practice
Convened by the MIT Schwarzman College of Computing, the AI Policy Forum will develop frameworks and tools for governments and companies to implement concrete policies.
The real promise of synthetic data
MIT researchers release the Synthetic Data Vault, a set of open-source tools meant to expand data access without compromising privacy.
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.
SMART researchers receive Intra-CREATE grant for personalized medicine and cell therapy
Funds will support research on glaucoma through retinal biometrics and neural cell implantation therapy for spinal cord injury.
Anticipating heart failure with machine learning
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.