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MIT’s Media Coverage: A Look Back at 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, UncategorizedApril 20, 202439Views0Likes0Comments
2023 was a dynamic year for MIT, marked by significant developments, including President Sally Kornbluth's inauguration and Professor Moungi Bawendi winning the Nobel Prize in Chemistry. The institution’s researchers also achieved major advancements like detecting a dying star consuming a planet, expanding the boundaries of AI, developing clean energy approaches, creating tools for earlier cancer…

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Media coverage of MIT: A summary of the year 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, UncategorizedApril 20, 202437Views0Likes0Comments

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Media Coverage of MIT: A Recap of 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, UncategorizedApril 19, 202435Views0Likes0Comments

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Start developing a more efficient AI assistant by first understanding and replicating the unpredictable actions of humans.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedApril 19, 202433Views0Likes0Comments
Artificial Intelligence (AI) researchers at MIT and the University of Washington have created a model that can predict a human's decision-making behaviour by learning from their past actions. The model incorporates the understanding that humans can behave sub-optimally due to computational constraints — essentially the idea that humans can't spend indefinitely long periods considering the…

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The computational model accurately captures the hard-to-detect transition stages of chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 19, 202434Views0Likes0Comments
Researchers from MIT have used machine learning to expedite the calculation of transient molecular states that occur during chemical reactions. The team's innovative new model streamlines the process, from a previously time-consuming task, performed using quantum chemistry techniques, to a few seconds. Applied, it could assist chemists to design new reactions and catalysts to create…

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MIT scientists utilize AI to discover a fresh category of potential antibiotics.

Antibiotics, Artificial Intelligence, Biological engineering, Broad Institute, Drug discovery, Drug resistance, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Machine learning, Research, School of Engineering, UncategorizedApril 19, 202436Views0Likes0Comments
Using artificial intelligence (AI) technology called deep learning, MIT researchers have identified compounds capable of defeating methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium causing over 10,000 deaths annually in the US. The compounds, which exhibit low toxicity to human cells, were found to effectively kill MRSA in lab and mouse models, making them potential drug…

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The computational model accurately identifies the hard-to-detect transition stages of chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 18, 202437Views0Likes0Comments
The process of identifying the fleeting chemical transition states that occur during reactions could be significantly sped up thanks to a machine learning system developed by researchers from MIT. At present, these states can be calculated using quantum chemistry, but this process is time and computing power intensive, often taking days to calculate a single…

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