Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.
MIT faculty, alumni named 2025 Sloan Research Fellows
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
Like human brains, large language models reason about diverse data in a general way
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
Chip-based system for terahertz waves could enable more efficient, sensitive electronics
Researchers developed a scalable, low-cost device that can generate high-power terahertz waves on a chip, without bulky silicon lenses.
A new method for detecting gene-expression patterns linked to lineage progression, providing a powerful tool for studying cell state memory across biological systems.
Climate change and machine learning — the good, bad, and unknown
Machine learning can drive climate action initiatives, but its widespread use could have negative implications, according to Climate Change AI’s Priya Donti.
AI model deciphers the code in proteins that tells them where to go
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
To keep hardware safe, cut out the code’s clues
New “Oreo” method from MIT CSAIL researchers removes footprints that reveal where code is stored before a hacker can see them.
A new low-power system using radio frequency waves takes a major step toward autonomous, indoor drone navigation.
Student Spotlight: Titus Roesler
Today’s interviewee, Titus Roesler, is a senior majoring in Electrical Science and Engineering. As a first-year at MIT, Roesler joined the Experimental Study Group (ESG), a learning community for first-years that offers the general Institute requirements (GIRs) in a small, tight-knit class setting. As he reports it, “I never left! Since then, I’ve stuck around as an associate advisor for new cohorts of first-year ESG students, as a teaching assistant for classes on calculus and group theory, and as an instructor for special seminars in electrical engineering that I’ve designed from scratch and taught myself.” Roesler’s commitment to his academic community goes deep. Besides his teaching work, he is a member of the Undergraduate Student Advisory Group in EECS (USAGE), which provides student feedback to the Department. Roesler took time out of his schedule to answer a few questions about his experience at MIT.