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The search algorithm has unveiled close to 200 new variants of CRISPR systems.

Algorithms, Artificial Intelligence, Bacteria, Biological engineering, Biology, Brain and cognitive sciences, Broad Institute, Computational biology, Computer science and technology, CRISPR, Data, DNA, Genetic engineering, Genome, Genome editing, McGovern Institute, Microbes, National Institutes of Health (NIH), Research, RNA, School of Engineering, School of Science, UncategorizedMarch 7, 202441Views0Likes0Comments
Microbial sequence databases hold a vast array of information about enzymes and other molecules that could be utilized in biotechnology applications. However, the sheer size of these databases has made it challenging to efficiently search for specific enzymes of interest. Researchers from the McGovern Institute for Brain Research at MIT, the Broad Institute of MIT and…

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MIT’s Generative AI Week promotes conversation among different fields.

academics, Algorithms, Architecture, Artificial Intelligence, Biology, Civil and environmental engineering, Comparative Media Studies/Writing, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, DMSE, EAPS, Education, Electrical Engineering & Computer Science (eecs), Ethics, Faculty, Health, Laboratory for Information and Decision Systems (LIDS), Machine learning, Media Lab, MIT Morningside Academy for Design, MIT Schwarzman College of Computing, MIT Sloan School of Management, Robotics, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Staff, Students, teaching, Technology and society, UncategorizedMarch 7, 202441Views0Likes0Comments
In late November, Massachusetts Institute of Technology (MIT) held a Generative AI Week involving faculty, staff, and students from the institution. The event served as a platform to discuss the opportunities and important applications of generative artificial intelligence technologies across varied disciplines. The week's agenda included a main symposium and four subject-specific symposia. MIT President…

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Deep neural networks exhibit potential in modelling human auditory systems.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedMarch 7, 202440Views0Likes0Comments
MIT researchers have been utilizing computational models derived from deep neural networks which mimic the structure and function of the human auditory system, a development that could help in the design of better hearing aids, cochlear implants, and brain-machine interfaces. This represents a significant step in understanding how the human brain processes sound and how…

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Computational model accurately represents the transient transition states in chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedMarch 7, 202434Views0Likes0Comments
Chemists often struggle to predict the outcome of a chemical reaction as it depends on the so-called "transition state," a fleeting moment into which molecules enter and from which they can never return unchanged. The challenge lies in the fact that the transition state is extremely ephemeral and difficult to capture in real-world experiments. This…

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Reviewing MIT’s Media Presence in 2023

academics, Administration, Alumni/ae, Artificial Intelligence, astronomy and planetary science, Boston and region, Cambridge, Climate change, Community, Computer science and technology, Diversity and inclusion, Education, Faculty, Global, Government, Health sciences and technology, Innovation and Entrepreneurship (I&E), MIT Schwarzman College of Computing, MIT Sloan School of Management, Policy, President Sally Kornbluth, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Social justice, Space, Staff, Students, teaching, UncategorizedMarch 7, 202440Views0Likes0Comments
In 2023, Massachusetts Institute of Technology (MIT) has had a busy and eventful year. Under the leadership of newly inaugurated President Sally Kornbluth, the institute saw significant advances in a range of fields, such as artificial intelligence (AI), clean energy solutions, disease detection, and even the science of kindness. Professor Moungi Bawendi was a notable…

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Intricate and unknown phrases influence the brain’s linguistic network to exert more effort.

Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Language, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Neuroscience, Research, School of Engineering, School of Science, UncategorizedMarch 7, 202435Views0Likes0Comments
A study by MIT neuroscientists, utilising an artificial language network, discovered the type of sentences most likely to stimulate the brain’s key language processing centers. The study concluded that complex sentences, with unusual grammar or unexpected meaning, generate stronger responses. In contrast, simplistic sentences marginally engaged these regions, while nonsensical sequences of words had little…

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This method may effectively resolve partial differential equations for a multitude of uses.

Algorithms, Artificial Intelligence, Computer science and technology, Data, Machine learning, Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Physics, Research, School of Science, UncategorizedMarch 7, 202444Views0Likes0Comments
Partial differential equations (PDEs) are used in fields like physics and engineering to model complex physical processes, offering insight into some of the world's most intricate systems. To solve these equations, researchers use high-fidelity numerical solvers, which are time-consuming and computationally expensive. A simplified alternative, data-driven surrogate models, compute the goal property of a solution…

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Sadhana Lolla has been designated as the 2024 Gates Cambridge Scholar.

Artificial Intelligence, Awards, Computer science and technology, Distributed Robotics Laboratory, honors and fellowships, Literature, Mathematics, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Students, Technology and policy, Uncategorized, UndergraduateMarch 7, 202436Views0Likes0Comments
MIT student Sadhana Lolla has been awarded the renowned Gates Cambridge Scholarship. This prestigious scholarship was created in 2000 and covers all costs for post-graduate study at UK’s Cambridge University for exceptional students from countries outside of the UK. It aims to nurture a global community of aspiring leaders dedicated to enhancing the lives of…

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