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Scientists improve sideline viewing capabilities in AI systems.

Artificial Intelligence, Autonomous vehicles, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, School of Science, UncategorizedJune 15, 202472Views0Likes0Comments
Peripheral vision, the ability to see objects outside of our direct line of sight, has been simulated by researchers at MIT to be used with AI technology. Unlike human vision, AI lacks the capability to perceive peripherally. Enhancing AI with this ability could greatly enhance its proactivity in identifying threats, and could even predict if…

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Scientists improve side vision capabilities in AI systems.

Artificial Intelligence, Autonomous vehicles, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, School of Science, UncategorizedJune 15, 202475Views0Likes0Comments
A team from MIT has created an image dataset aimed at simulating peripheral vision in machine learning models, a characteristic which AI typically lacks. This could improve the models' ability to recognise approaching threats and predict whether a human driver would spot an oncoming object. In experiments, these models improved in terms of hazard detection,…

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The conference emphasizes the magnitude of the mental health issue and innovative approaches to identifying and treating it.

Alzheimer's, Artificial Intelligence, Behavior, Biology, Brain and cognitive sciences, Depression, Digital technology, Disease, Health, Health care, Health sciences and technology, Machine learning, McGovern Institute, Mental health, Mobile devices, Neuroscience, Office of Open Learning, Parkinson's, Pharmaceuticals, School of Science, Special events and guest speakers, UncategorizedJune 13, 202480Views0Likes0Comments

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The Engineering Department extends a warm welcome to its latest professors.

Aeronautical and astronautical engineering, Artificial Intelligence, Biological engineering, Broad Institute, Chemical engineering, Civil and environmental engineering, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Cryptography, Data, DMSE, Economics, Electrical Engineering & Computer Science (eecs), Electronics, Environment, Faculty, Human-computer interaction, human-robot interaction, IDSS, Immunology, Laboratory for Information and Decision Systems (LIDS), Machine learning, Media Lab, Medicine, MIT Schwarzman College of Computing, Music, Music and theater arts, Research Laboratory of Electronics, Robotics, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, UncategorizedMay 24, 202477Views0Likes0Comments

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Scientists employ generative artificial intelligence to tackle intricate queries in the field of physics.

Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Machine learning, Mathematics, MIT Schwarzman College of Computing, Physics, Research, School of Engineering, School of Science, UncategorizedMay 16, 202481Views0Likes0Comments
Researchers from MIT and the University of Basel in Switzerland have developed a new machine-learning framework that can map phase diagrams for novel physical systems automatically. By applying generative artificial intelligence models, the team has developed a more efficient method for tracking and understanding phase transitions in water and other complex physical systems, which offers…

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CEO of OpenAI Sam Altman and President Sally Kornbluth engage in a conversation about the potential trends in AI.

Artificial Intelligence, Business and management, Careers, Community, Ethics, History of science, Human-computer interaction, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, President Sally Kornbluth, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Sustainability, Technology and society, UncategorizedMay 7, 202479Views0Likes0Comments

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The brain’s language network has to exert more effort when dealing with complicated and unfamiliar sentences.

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, UncategorizedMay 3, 202477Views0Likes0Comments
Researchers from MIT, led by neuroscience associate professor Evelina Fedorenko, have used an artificial language network to identify which types of sentences most effectively engage the brain’s language processing centers. The study showed that sentences of complex structure or unexpected meaning created strong responses, while straightforward or nonsensical sentences did little to engage these areas.…

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The brain’s language network has to exert more effort when dealing with sentences that are intricate and unknown.

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, UncategorizedMay 2, 202478Views0Likes0Comments
Researchers from MIT have been using a language processing AI to study what type of phrases trigger activity in the brain's language processing areas. They found that complex sentences requiring decoding or unfamiliar words triggered higher responses in these areas than simple or nonsensical sentences. The AI was trained on 1,000 sentences from diverse sources,…

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The brain’s language network has to put in more effort when dealing with complex and unfamiliar sentences.

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, UncategorizedMay 2, 202487Views0Likes0Comments
Scientists from MIT have used an artificial language network to investigate the types of sentences likely to stimulate the brain's primary language processing areas. The research shows that more complicated phrases, owing to their unconventional grammatical structures or unexpected meanings, generate stronger responses in these centres. However, direct and obvious sentences prompt barely any engagement,…

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