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A novel Artificial Intelligence technique records ambiguity within medical imaging.

Artificial Intelligence, Broad Institute, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Health care, Imaging, Machine learning, MIT Schwarzman College of Computing, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 12, 202439Views0Likes0Comments
A team at MIT, along with the Broad Institute of MIT and Harvard, and Massachusetts General Hospital, has developed an artificial intelligence (AI) tool that can help navigate the uncertainty in medical image analysis. The tool, named Tyche, provides multiple possible interpretations of a medical image rather than the single answer typically provided by AI…

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MIT’s computing is at a crucial juncture.

academics, Administration, Aeronautical and astronautical engineering, Artificial Intelligence, Boston and region, Brain and cognitive sciences, Cambridge, Campus buildings and architecture, Chemical engineering, Community, Comparative Media Studies/Writing, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, EAPS, Education, Electrical Engineering & Computer Science (eecs), Facilities, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MIT-IBM Watson AI Lab, Music and theater arts, Nuclear science and engineering, Political science, Quest for Intelligence, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, teaching, Technology and society, Uncategorized, Urban studies and planningApril 12, 202441Views0Likes0Comments
MIT’s Stephen A. Schwarzman College of Computing has opened its new headquarters in Building 45, creating a hub for computing on campus. The building is considered a physical manifestation of the college's mission to fortify core computer science and AI, integrate computing throughout MIT, and advance the social, ethical and policy considerations of the discipline. MIT…

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A turning point for computer studies at MIT.

academics, Administration, Aeronautical and astronautical engineering, Artificial Intelligence, Boston and region, Brain and cognitive sciences, Cambridge, Campus buildings and architecture, Chemical engineering, Community, Comparative Media Studies/Writing, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, EAPS, Education, Electrical Engineering & Computer Science (eecs), Facilities, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MIT-IBM Watson AI Lab, Music and theater arts, Nuclear science and engineering, Political science, Quest for Intelligence, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, teaching, Technology and society, Uncategorized, Urban studies and planningApril 12, 202438Views0Likes0Comments
The MIT Stephen A. Schwarzman College of Computing has recently inaugurated its new headquarters in Building 45, fostering a new hub of connectivity at MIT. The structure serves as a computing crossroads for the campus and aims to catalyze collaborations in computing, and houses research groups from multiple departments and labs. Approximately 178,000 square feet in…

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The team from MIT has published research papers on the management of Artificial Intelligence.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Government, Machine learning, MIT Schwarzman College of Computing, Policy, School of Engineering, Technology and society, UncategorizedApril 11, 202433Views0Likes0Comments
A committee formed by MIT scholars and leaders has released a series of policy briefs that propose a framework for artificial intelligence (AI) governance in the United States. The proposed approach extends existing regulatory and liability procedures to manage AI effectively. The committee believes this could boost the country's leadership position in AI while minimizing…

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A computational expert advances the frontiers of geometric studies.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedApril 11, 202436Views0Likes0Comments
Over 2,000 years ago, Euclid, the Greek mathematician, laid the foundation of geometry and altered our perception of shapes. Justin Solomon, inspired by Euclid's work, applies modern geometric techniques to resolve challenging problems that may not appear related to shapes. As an associate professor at the MIT Department of Electrical Engineering and Computer Science and…

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A computational model successfully depicts the hard-to-capture transitional stages of chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 11, 202439Views0Likes0Comments
A group of MIT researchers has developed a new machine learning model which rapidly calculates the structure of transition states during chemical reactions. This fleeting moment is a crucial "point of no return" in reactions. Although this transition state is vital to understanding the pathway of the reaction, it has been notoriously difficult to observe…

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A team from MIT publishes studies about the management of artificial intelligence.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Government, Machine learning, MIT Schwarzman College of Computing, Policy, School of Engineering, Technology and society, UncategorizedApril 11, 202444Views0Likes0Comments
A group of leaders and scholars from MIT has released a set of policy briefs aimed at developing a framework for the governance of artificial intelligence (AI) in the United States. The goal of this framework is to enhance US leadership in AI while mitigating potential risks and exploring the benefits of AI deployment. The main…

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A computer scientist expands the dimensions of geometry.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedApril 11, 202433Views0Likes0Comments
Justin Solomon, an Associate Professor in the Massachusetts Institute of Technology (MIT)'s Department of Electrical Engineering and Computer Science (EECS) and member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), is leveraging geometric techniques to tackle complex problems in data science. Quite often, these problems are seemingly unrelated to shapes. For example, when a…

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Bridging the gap between design and production for optical devices

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 11, 202433Views0Likes0Comments
Researchers from Massachusetts Institute of Technology (MIT) and the Chinese University of Hong Kong have developed a digital simulator that mimics the photolithography process, a technique used to manufacture computer chips and optical devices. The project marks the first use of actual data from a photolithography system in the construction of a simulator. This advancement could…

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The computational model successfully records the hard-to-capture transition stages of chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 11, 202436Views0Likes0Comments
A team of researchers at the Massachusetts Institute of Technology (MIT) has developed a machine learning-based method to swiftly calculate the structures of transition states, crucial moments in chemical reactions. This state, at which molecules attain the necessary energy for a reaction, is important but fleetingly transient and difficult to experimentally observe. Calculating these structures…

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MIT team publishes research papers on the management of artificial intelligence.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Government, Machine learning, MIT Schwarzman College of Computing, Policy, School of Engineering, Technology and society, UncategorizedApril 10, 202437Views0Likes0Comments
MIT has released a series of policy briefs surrounding the governance of artificial intelligence (AI), with a focus on extending current regulatory and liability practices. Intended to strengthen U.S. leadership in AI, these policies aim to mitigate potential harm and promote beneficial exploration of the technology. The primary paper suggests that existing government entities overseeing…

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