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Computer Science and Artificial Intelligence Laboratory (CSAIL)

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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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A technology expert in computing is extending the limits of geometrical 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, UncategorizedMarch 7, 202434Views0Likes0Comments
Justin Solomon, an associate professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT), is making use of modern geometric techniques to address intricate problems, many of which don't appear to be linked to shapes. He extrapolates from the foundations laid more than 2,000 years ago by the…

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The unseen hurdle of today’s AI: Accuracy in image identification.

Artificial Intelligence, Center for Brains Minds and Machines, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Data, Electrical Engineering & Computer Science (eecs), Image Processing, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, School of Engineering, Uncategorized, VisionMarch 7, 202444Views0Likes0Comments
MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers, in collaboration with the MIT-IBM Watson AI Lab, have developed a new metric, the "minimum viewing time" (MVT), to measure the difficulty of recognizing an image. The researchers aimed to close the gap between the performance of deep learning-based AI models and humans in recognizing and…

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A versatile approach to assist artists in enhancing animation.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedMarch 7, 202437Views0Likes0Comments
MIT researchers have developed a new tool that provides better control to animators in shaping their characters. The new technique works by generating mathematical functions, known as barycentric coordinates, that describe how 2D and 3D shapes in animations can move, stretch, and deform in space. By using these functions, an animator can tailor the movement…

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AI representatives assist in elucidating other AI frameworks.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Language, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, School of Engineering, UncategorizedMarch 7, 202437Views0Likes0Comments
Interpreting the functions and behaviors of large-scale neural networks remains a complex task and a significant challenge in the field of Artificial Intelligence. To tackle this problem, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a strategy that uses AI models to investigate the computations inside other AI systems.  Central to this…

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Safety Guidelines in the Stratosphere: The Potential Influence of Aviation on Regulating Health-based AI Systems

Aeronautical and astronautical engineering, Artificial Intelligence, Aviation, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Digital technology, Electrical Engineering & Computer Science (eecs), Ethics, Health care, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Machine learning, MIT Schwarzman College of Computing, School of Engineering, Technology and policy, Technology and society, UncategorizedMarch 7, 202437Views0Likes0Comments
A 2022 report from the International Air Transport Association revealed that the odds of dying in a plane crash are extremely low, with an industry fatality risk of 0.11. This implies that a person would need to fly daily for over 25,000 years to have a 100% chance of experiencing a fatal accident, underscoring why…

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Logical thinking and dependability in Artificial Intelligence

Artificial Intelligence, Communications, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Graduate, Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural language processing, postdoctoral, Research, Robotics, School of Engineering, Students, UncategorizedMarch 7, 202443Views0Likes0Comments
MIT PhD students interning at the MIT-IBM Watson AI Lab are researching ways to improve the efficiency and accuracy of AI systems in understanding and communicating through natural language. The team, including Athul Paul Jacob, Maohao Shen, Victor Butoi, and Andi Peng, aims to enhance each stage of the process involving natural language models, from…

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AI-based risk prediction provides fresh optimism for timely intervention in pancreatic cancer.

Algorithms, Artificial Intelligence, Cancer, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Defense Advanced Research Projects Agency (DARPA), Diagnostics, Electrical Engineering & Computer Science (eecs), Health sciences and technology, Machine learning, Medicine, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, Technology and society, UncategorizedMarch 7, 202440Views0Likes0Comments
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) scientists, in collaboration with Limor Appelbaum, a scientist in the Department of Radiation Oncology at Beth Israel Deaconess Medical Center (BIDMC), have developed two machine-learning models for the early detection of pancreatic cancer. The two models PRISM and the logistic regression model both surpassed current diagnostic methods.…

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How to handle AI in healthcare?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Ethics, Government, Health sciences and technology, Jameel Clinic, Machine learning, Medicine, MIT Schwarzman College of Computing, Policy, School of Engineering, Special events and guest speakers, Technology and society, UncategorizedMarch 7, 202443Views0Likes0Comments
The MIT Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic) held an AI and Health Regulatory Policy Conference on December 4, sparking debates among faculty, regulators from the US, EU, and Nigeria, and industry experts about the regulation of AI in health. The conference centered around the question of whether the "black…

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The role of symmetry in assisting machine learning processes.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), IDSS, Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedMarch 7, 202437Views0Likes0Comments
In 2021, while studying differential equations, MIT PhD student Behrooz Tahmasebi discovered a possible connection between Weyl’s law — a mathematical formula used to measure the complexity of data contained within frequencies such as a drum or guitar string — and computer science. He hypothesized that the application of a specific version of the law…

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Employing artificial intelligence to unveil rigid and strong microstructures.

3-D printing, Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Design, Electrical Engineering & Computer Science (eecs), Materials science and engineering, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedMarch 7, 202437Views0Likes0Comments
A team of researchers at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a revolutionary computational design system that enhances the performance of microstructured materials. These materials, ubiquitous in everything from cars to airplanes, offer essential durability and strength. This project, led by Beichen Li, a CSAIL affiliate and an MIT PhD…

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