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MIT Schwarzman College of Computing

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Utilizing language to comprehend machines.

Artificial Intelligence, Classes and programs, Collaboration, Data, Electrical Engineering & Computer Science (eecs), Graduate, Human-computer interaction, Industry, Linguistics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural language processing, postdoctoral, Research, School of Engineering, School of Humanities Arts and Social Sciences, Students, UncategorizedMarch 7, 202442Views0Likes0Comments
MIT engineering students Irene Terpstra ’23 and Rujul Gandhi ’22 are collaborating with the MIT-IBM Watson AI Lab to advance Artificial Intelligence (AI) systems using Natural Language Processing (NLP), taking advantage of the vast amount of natural language data available. Terpstra is focusing on the application of AI algorithms for computer chip design, leveraging the…

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Intricate and unknown phrases influence the brain’s linguistic network to exert more effort.

Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Language, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Neuroscience, Research, School of Engineering, School of Science, UncategorizedMarch 7, 202435Views0Likes0Comments
A study by MIT neuroscientists, utilising an artificial language network, discovered the type of sentences most likely to stimulate the brain’s key language processing centers. The study concluded that complex sentences, with unusual grammar or unexpected meaning, generate stronger responses. In contrast, simplistic sentences marginally engaged these regions, while nonsensical sequences of words had little…

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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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This method may effectively resolve partial differential equations for a multitude of uses.

Algorithms, Artificial Intelligence, Computer science and technology, Data, Machine learning, Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Physics, Research, School of Science, UncategorizedMarch 7, 202444Views0Likes0Comments
Partial differential equations (PDEs) are used in fields like physics and engineering to model complex physical processes, offering insight into some of the world's most intricate systems. To solve these equations, researchers use high-fidelity numerical solvers, which are time-consuming and computationally expensive. A simplified alternative, data-driven surrogate models, compute the goal property of a solution…

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Numerous AI systems assist robots in carrying out intricate strategies with greater clarity.

Algorithms, Artificial Intelligence, Computer science and technology, Computer vision, Data, Defense Advanced Research Projects Agency (DARPA), Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, Robotics, School of Engineering, UncategorizedMarch 7, 202437Views0Likes0Comments
MIT's Improbable AI Lab has developed a novel multimodal framework for artificial intelligence (AI) called the Compositional Foundation Models for Hierarchical Planning (HiP). The aim of this system is to help robots conduct complex tasks that involve numerous smaller steps, from household chores to more elaborate industrial processes. Traditionally, AI systems have required paired visual,…

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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, 202438Views0Likes0Comments
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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Creating the strategy for the future.

Artificial Intelligence, Collaboration, Data, Graduate, Hackathon, Housing, IDSS, MIT Schwarzman College of Computing, Policy, postdoctoral, Special events and guest speakers, Students, Technology and policy, UncategorizedMarch 7, 202436Views0Likes0Comments
First-year students in the Social and Engineering Systems (SES) doctoral program within the MIT Institute for Data, Systems, and Society (IDSS), Eric Liu and Ashely Peake are focusing their research on studying housing inequality issues. Both students took part in the annual MIT Policy Hackathon, an initiative that brings together students from around the globe…

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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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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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