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Bridging the divide between design and production for optical instruments.

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 9, 202438Views0Likes0Comments
Photolithography, the process of using light to etch features onto surfaces for the manufacturing of computer chips and optical devices, often fails to accurately match designer’s intentions due to tiny inconsistencies in the manufacturing process. Researchers at MIT and the Chinese University of Hong Kong have developed a machine-learning digital simulator in an effort to…

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In case an antibiotic is unsuccessful: AI is being utilized by MIT researchers to focus on dormant bacteria.

Antibiotics, Artificial Intelligence, Bacteria, Biological engineering, Drug discovery, Health sciences and technology, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Machine learning, Medicine, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 9, 202435Views0Likes0Comments
Since the 1970s, finding new antibiotics has been challenging. The World Health Organization now considers the antimicrobial resistance crisis as one of the top 10 global public health threats. Bacteria can become resistant to antibiotics, especially when an infection is treated repeatedly. Some bacteria become metabolically inert, avoiding detection by antibiotics that only respond to…

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The automated platform instructs users on the appropriate instances to engage with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 8, 202438Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have developed an AI system designed to educate users on when to trust an AI's decision-making process - for instance, a radiologist determining if a patient's X-ray shows signs of pneumonia. The training system identifies scenarios where the human should not trust the AI model, automatically…

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The team at MIT publishes research reports on the administration of artificial intelligence.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Government, Machine learning, MIT Schwarzman College of Computing, Policy, School of Engineering, Technology and society, UncategorizedApril 8, 202436Views0Likes0Comments
MIT has released a set of policy briefs offering guidance for the governance of artificial intelligence (AI) for lawmakers. The goal of these documents is to strengthen the U.S.'s leadership in AI, minimize potential harm from misapplication, and promote the beneficial uses of AI in our society. The primary policy paper, titled “A Framework for U.S.…

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The system instructs users on determining the appropriate times to work in conjunction with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 8, 202439Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a system to teach users of artificial intelligence (AI) technology when they should or shouldn't trust its outcomes. This could be particularly beneficial in the medical field, where errors could have serious repercussions. The team created an automated system to teach a radiologist how…

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The team from MIT publishes research documents about managing artificial Intelligence.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Government, Machine learning, MIT Schwarzman College of Computing, Policy, School of Engineering, Technology and society, UncategorizedApril 8, 202439Views0Likes0Comments
The Massachusetts Institute of Technology (MIT) committee of leaders and scholars have published a set of policy briefs to aid the development of a practical artificial intelligence governance framework for U.S. policymakers. Aiming to promote U.S. leadership in AI, the briefs also seek to limit potential harm from new technology and explore how AI deployment…

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A computer programmer breaks new ground in the field of geometry.

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, UncategorizedApril 8, 202435Views0Likes0Comments
Greek mathematician Euclid revolutionized the concept of shapes over two millennia ago, laying a strong foundation for geometry. Justin Solomon, leveraging his ancient principles with modern geometric techniques, is solving complex issues unrelated to shapes. Solomon, an associate professor at MIT Department of Electrical Engineering and Computer Science (EECS) and a member of the Computer Science…

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Bridging the gap between design and manufacturing for optical devices.

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 8, 202438Views0Likes0Comments
Photolithography is a commonly used manufacturing process that manipulates light to etch features onto surfaces, creating computer chips and optical devices like lenses. However, minute deviations in the process often result in these devices not matching their original designs. To bridge this design-manufacturing gap, a team from MIT and the Chinese University of Hong Kong…

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The automated platform instructs users on the appropriate instances to engage with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 7, 202435Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have developed a method of teaching users when to collaborate with an artificial intelligence (AI) assistant. The model creates a customised onboarding process, educating users on when to trust or ignore an AI model’s advice. The training process can detect situations where the AI model is…

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The team from MIT has published reports on the management of AI.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Government, Machine learning, MIT Schwarzman College of Computing, Policy, School of Engineering, Technology and society, UncategorizedApril 7, 202443Views0Likes0Comments
A committee consisting of leaders and scholars from the Massachusetts Institute of Technology (MIT) have released policy briefs that provide a blueprint for governing artificial intelligence (AI) in the U.S. The committee believes that existing regulatory and liability processes can be extended to regulate AI in the U.S. The goal is to strengthen U.S. leadership…

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