Unnatural selection
In a new book, “Risky Business,” Amy Finkelstein examines the core issue of the insurance industry: Who gets to be a customer?
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Using robotics to supercharge health care
Vecna Technologies, founded by a pair of MIT alumni, has followed a long and winding path to help people in health care settings.
Research, education, and connection in the face of war
“I wouldn’t let the aggressor in the war squash my dreams,” says Ukrainian mathematician and MITx MicroMasters learner Tetiana Herasymova.
Startups take root in senior capstone class
Over the years, dozens of student products from Class 2.009 (Product Engineering Processes) have inspired startups.
Lecture series aims to demystify, celebrate tenure
DMSE’s Tenure Talks gives glimpse into the hard work, commitment, and decisions behind one of academia’s most important posts.
Simulating discrimination in virtual reality
The role-playing game “On the Plane” simulates xenophobia to foster greater understanding and reflection via virtual experiences.
Sustainable supply chains put the customer first
In his research, Josué C. Velázquez Martínez focuses on logistics sustainability and small firms in emerging markets.
Cognitive scientists develop new model explaining difficulty in language comprehension
Built on recent advances in machine learning, the model predicts how well individuals will produce and comprehend sentences.
Should we tax robots?
Study suggests a robot levy — but only a modest one — could help combat the effects of automation on income inequality in the U.S.
Continuing education, over the years and across borders
Learning is a lifelong pursuit for 76-year-old Mexican tech executive Jesus Sotomayor, who recently earned his Professional Certificate in Digital Transformation from MIT Professional Education.
Large language models help decipher clinical notes
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
Spreading joy with Wide Tim
MIT senior Tianyuan (Margaret) Zheng uses art as a bonding enzyme to join STEM, culture, and community.
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs
New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.
Breaking the scaling limits of analog computing
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
The task of magnetic classification suddenly looks easier
MIT undergraduate researchers Helena Merker, Harry Heiberger, and Linh Nguyen, and PhD student Tongtong Liu, exploit machine-learning techniques to determine the magnetic structure of materials.