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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, 202439Views0Likes0Comments
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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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, 202436Views0Likes0Comments
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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Six students from MIT have been chosen as fellows for the MIT-Pillar AI Collective in the spring of 2024.

Artificial Intelligence, Awards, Data, Deshpande Center, Electrical Engineering & Computer Science (eecs), Graduate, honors and fellowships, Innovation and Entrepreneurship (I&E), Machine learning, Mechanical engineering, postdoctoral, Robotics, School of Engineering, Startups, Students, UncategorizedMarch 7, 202435Views0Likes0Comments
The MIT-Pillar AI Collective, a partnership between the Massachusetts Institute of Technology's (MIT) School of Engineering and Pillar VC, has named six fellows for the spring 2024 semester. Each fellow is a graduate student in their final year of a master's or PhD program who will conduct research in the fields of AI, machine learning,…

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An innovative method enables AI chatbots to engage in conversation continuously without any system breakdowns.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMarch 7, 202432Views0Likes0Comments
Researchers from MIT and other institutions have developed a method to prevent AI chatbots from failing during extensive conversations. The team's solution centres on the key-value cache (KV Cache), or the chatbot's memory, within language models. Existing models often fail when the cache is overloaded with information, as incoming data pushes out the initial data.…

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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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AI Generation for Intelligent Grid Simulation

Artificial Intelligence, Climate, Computer modeling, Electrical Engineering & Computer Science (eecs), Energy, Funding, Grants, Laboratory for Information and Decision Systems (LIDS), Lincoln Laboratory, Machine learning, MIT Schwarzman College of Computing, School of Engineering, UncategorizedMarch 7, 202446Views0Likes0Comments
The Laboratory for Information and Decision Systems (LIDS) at Massachusetts Institute of Technology (MIT) has received a grant of $1,365,000 from the Appalachian Regional Commission (ARC). The funding supports LIDS's role in the "Forming the Smart Grid Deployment Consortium (SGDC) and Expanding the HILLTOP+ Platform" project. Made available through ARC's Appalachian Regional Initiative for Stronger…

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Navigating through the challenges of our clamorous planet.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, Mathematics, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedMarch 7, 202439Views0Likes0Comments
Tamara Broderick, a once participant of the Women's Technology Program at MIT, found her path back to the institution years later, but as a faculty member. Broderick, a tenured associate professor in the Department of Electrical Engineering and Computer Science (EECS), works in the field of Bayesian inference, which is a statistical approach to measure…

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Startup hastens advancements towards computing at the speed of light.

Alumni/ae, Artificial Intelligence, Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Electronics, Innovation and Entrepreneurship (I&E), Machine learning, MIT $100K competition, Photonics, School of Engineering, Startups, Sustainability, Sustainable computing, UncategorizedMarch 7, 202442Views0Likes0Comments
As traditional semiconductor technologies approach their physical limits, the demand for computing power continues to rise, largely driven by the rapid expansion of artificial intelligence (AI). Addressing this conundrum, Lightmatter, a company founded by three MIT alumni, has developed pioneering computing technology that harnesses the properties of light to bolster data processing and transport. Lightmatter’s…

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Improving software testing through the application of generative AI.

Alumni/ae, Artificial Intelligence, Data, Electrical Engineering & Computer Science (eecs), Faculty, Innovation and Entrepreneurship (I&E), Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, Startups, UncategorizedMarch 7, 202445Views0Likes0Comments
Generative AI is being recognized for its capacity to produce both text and images. Establishment and application of generative AI to produce realistic synthetic data about various scenarios can assist businesses to improve services, reroute planes, or upgrading software platforms, especially in cases where tangible-world data is scarce or sensitive. For the preceding three years, a…

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