MIT Technology Review

Forging the digital future

As machine learning and generative AI reshape the world, MIT’s Schwarzman College of Computing is integrating these and other advanced computing technologies into classrooms and labs across campus.
Nature

Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data

Electroencephalography (EEG) is one of the most used techniques to perform diagnosis of epilepsy. However, manual annotation of seizures in EEG data is a major time-consuming step in the analysis ...
Nature

Comparative evaluation of deep learning models for cardiovascular disease diagnosis and classification

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, highlighting the need for accurate and computationally efficient diagnostic tools. Electrocardiography (ECG) is widely ...
TechRepublic

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft

Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI. A new “periodic table for machine learning” is reshaping how researchers explore AI, unlocking ...