Research
Labs
Areas
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Analysis reveals genetic control elements that are linked to hundreds of human traits. -
Scalable CRISPRi system from SMART allows scientists to identify and tackle causes of E. faecalis-related diseases and drug resistance. -
CSAIL's “LaserFactory” system automates the full process for making functional devices in one system. -
MIT researchers grow structures made of wood-like plant cells in a lab, hinting at the possibility of more efficient biomaterials production. -
A new system devises hardware architectures to hasten robots’ response time. -
MIT Task Force on the Work of the Future releases research brief "Artificial Intelligence and the Future of Work." -
In two years, the MIT Quest for Intelligence has allowed hundreds of students to explore AI in its many applications. -
Electrical engineer William Oliver develops technology to enable reliable quantum computing at scale. -
Sensor developed by SMART researchers would allow rapid diagnosis of nutrition deficiency in plants, enabling farmers to maximize crop yield in a sustainable way. -
MIT mechanical engineers, working alongside a trio of EECS graduate students from Professor Daniela Rus’s group in CSAIL, have developed technologies to help hospitals around the world provide life-saving oxygen to patients with Covid-19 and other respiratory illnesses. -
Animators spend hours adding textures to objects. A new machine-learning system simplifies the process. -
The advance could cut production costs and reduce the size of microelectronics for sensing and communication. -
Quantum computers could usher in a golden age of computing power, solving problems intractable on today’s machines. -
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning. -
Neuroscientists find that interpreting code activates a general-purpose brain network, but not language-processing centers. -
Physicist and Harvard University professor discusses silicon vacancies, reflects on inspiration from Mildred Dresselhaus. -
The design, which uses entangled atoms, could help scientists detect dark matter and study gravity’s effect on time. -
MIT’s second annual Interdisciplinary Quantum Hackathon, to be held virtually from Friday, January 29th through Sunday, January 31st, will give interested participants from any background access to some of the most cutting-edge computing technology on the planet. -
AAAI Fellows are selected in recognition of their significant and extended contributions to the field (contributions which typically span a decade or more), including technical results, publications, patent awards, and contributions to group efforts. -
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference. -
SMART researchers use Raman spectroscopy for early detection of SAS, which can help farmers better monitor plant health and improve crop yields. -
Three MIT professors, including EECS Department Head Asu Ozdaglar, faculty head of EE Joel Voldman, and a principal staff member from Lincoln Laboratory, are among the 2021 class of Fellows. -
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack. -
Thomas Shi-Tao Huang SM ’60, ScD ’63, a former professor of Electrical Engineering at MIT, passed away on April 25, 2020, three months after the death of his beloved wife Margaret. A pioneer in image processing and compression, computer vision, pattern recognition, multimedia retrieval, and human-computer interaction, Huang’s breadth and depth of scholarship was informed by a wide-ranging appetite for music and art. -
A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing.
