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MIT team publishes research papers on the management 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 10, 202437Views0Likes0Comments
MIT has released a series of policy briefs surrounding the governance of artificial intelligence (AI), with a focus on extending current regulatory and liability practices. Intended to strengthen U.S. leadership in AI, these policies aim to mitigate potential harm and promote beneficial exploration of the technology. The primary paper suggests that existing government entities overseeing…

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A software engineer is challenging the limits 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 10, 202431Views0Likes0Comments
Using the principles of geometry, Justin Solomon, an associate professor in MIT's Department of Electrical Engineering and Computer Science, is tackling complex problems in data science and computer graphics. Building on Euclid’s ancient foundations of geometry, Solomon is leveraging geometric techniques to solve problems that are seemingly unrelated to shapes. He asserts that the language…

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Bridging the gap between design and production in the field of 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 10, 202433Views0Likes0Comments
Researchers from MIT and the Chinese University of Hong Kong have developed a machine learning-powered digital simulator that can accurately replicate a particular photolithography manufacturing process. Photolithography is a technique used to intricately etch features onto surfaces, often used in the creation of computer chips and optical devices. Despite its precision, tiny deviations in the…

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Deep neural networks present potential in modeling human auditory perceptions.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 10, 202426Views0Likes0Comments
Scientists at MIT have made significant progress in developing advanced computational models that can emulate the human auditory system, which could be pivotal in improving hearing aids, cochlear implants, and brain-machine interfaces. The researchers used deep neural networks—a type of artificial intelligence (AI) that imitates the human brain—to conduct the most extensive study so far…

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An improved, more efficient method to inhibit AI chatbots from delivering harmful responses.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Defense Advanced Research Projects Agency (DARPA), Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, School of Engineering, UncategorizedApril 10, 202437Views0Likes0Comments

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CodeEditorBench: An AI-based Mechanism for Assessing the Efficiency of Extensive Language Models (LLMs) in Code Modification Tasks.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 10, 202436Views0Likes0Comments
A group of researchers have created a novel assessment system, CodeEditorBench, designed to evaluate the effectiveness of Large Language Models (LLMs) in various code editing tasks such as debugging, translating, and polishing. LLMs, which have greatly advanced due to the rise of coding-related jobs, are mainly used for programming activities such as code improvement and…

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The team from MIT publishes research 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 10, 202432Views0Likes0Comments
A committee of leaders and scholars from MIT has developed a series of policy briefs aimed at establishing a framework for the governance of artificial intelligence (AI) in the U.S. The briefs propose extending existing regulatory and liability approaches in a practical manner to oversee AI. The main paper, titled “A Framework for U.S. AI Governance:…

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A computer programmer expands the limits of geometric concepts.

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 10, 202436Views0Likes0Comments
Over two millennia ago, Greek mathematician Euclid laid the groundwork for the modern understanding of geometry. Today, that work serves as the bedrock for researchers like Justin Solomon, who uses geometry to address complex problems - many of which seem unrelated to shapes at first glance. Solomon is an associate professor at MIT's Department of…

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Bridging the gap between design and manufacturing in the field of 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 10, 202441Views0Likes0Comments
Researchers at MIT and the Chinese University of Hong Kong have developed a machine learning-powered digital simulator for the photolithography process, frequently used in the manufacture of computer chips and optical devices. The team has built a digital simulator that can model the photolithography system based on real-world data, allowing for a greater level of…

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Deep neural networks demonstrate potential in being models for human auditory systems.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 10, 202434Views0Likes0Comments
Computational models that imitate how the human auditory system works may hold promise in developing technologies like enhanced cochlear implants, hearing aids, and brain-machine interfaces, a recent study from the Massachusetts Institute of Technology (MIT) reveals. The study focused on deep neural networks, machine learning-derived computational models that stimulate the basic structure of the human…

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The team from MIT publishes research 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 9, 202441Views0Likes0Comments
A committee of leaders and scholars from MIT has developed a policy framework for the governance of artificial intelligence (AI) in the United States. The aim of these policy briefs is to enhance U.S. leadership in AI and limit the potential harm from new technologies while promoting awareness of the societal benefits of AI deployment. The…

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