Six MIT students selected as spring 2024 MIT-Pillar AI Collective Fellows
The graduate students will aim to commercialize innovations in AI, machine learning, and data science.
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Electrical engineering and computer science (EECS)
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MIT-led team receives funding to pursue new treatments for metabolic disease
Awarded $65.67 million from ARPA-H, the researchers will work to develop ingestible capsules that deliver mRNA and electric stimuli to treat metabolic disorders such as diabetes.
How symmetry can come to the aid of machine learning
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
Nancy Hopkins awarded the National Academy of Sciences Public Welfare Medal
The MIT professor emerita and pioneering molecular biologist is being honored for her advocacy for women in science.
MIT, Applied Materials, and the Northeast Microelectronics Coalition Hub to bring 200mm advanced research capabilities to MIT.nano
State-of-the-art toolset will bridge academic innovations and industry pathways to scale for semiconductors, microelectronics, and other critical technologies.
Study: Smart devices’ ambient light sensors pose imaging privacy risk
The ambient light sensors responsible for smart devices’ brightness adjustments can capture images of touch interactions like swiping and tapping for hackers.
School of Engineering fourth quarter 2023 awards
Faculty and researchers across MIT’s School of Engineering receive many awards in recognition of their scholarship, service, and overall excellence.
MIT Faculty Founder Initiative announces finalists for second competition
Twelve researchers selected as finalists for 2023-24 MIT-Royalty Pharma Prize Competition to support female entrepreneurs in biotech.
What to do about AI in health?
Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.
Researchers improve blood tests’ ability to detect and monitor cancer
The advance makes it easier to detect circulating tumor DNA in blood samples, which could enable earlier cancer diagnosis and help guide treatment.
New hope for early pancreatic cancer intervention via AI-based risk prediction
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.
Reasoning and reliability in AI
PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.
Self-powered sensor automatically harvests magnetic energy
A system designed at MIT could allow sensors to operate in remote settings, without batteries.
Stratospheric safety standards: How aviation could steer regulation of AI in health
An interdisciplinary team of researchers thinks health AI could benefit from some of the aviation industry’s long history of hard-won lessons that have created one of the safest activities today.
The future of motorcycles could be hydrogen
MIT Electric Vehicle Team builds a unique hydrogen fuel cell–powered electric motorcycle.