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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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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, 202433Views0Likes0Comments
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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