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The team from MIT has published 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 11, 202433Views0Likes0Comments
A committee formed by MIT scholars and leaders has released a series of policy briefs that propose a framework for artificial intelligence (AI) governance in the United States. The proposed approach extends existing regulatory and liability procedures to manage AI effectively. The committee believes this could boost the country's leadership position in AI while minimizing…

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A computational expert advances the frontiers of geometric studies.

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 11, 202436Views0Likes0Comments
Over 2,000 years ago, Euclid, the Greek mathematician, laid the foundation of geometry and altered our perception of shapes. Justin Solomon, inspired by Euclid's work, applies modern geometric techniques to resolve challenging problems that may not appear related to shapes. As an associate professor at the MIT Department of Electrical Engineering and Computer Science and…

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Deep neural networks demonstrate potential as representations of human auditory mechanisms.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 11, 202442Views0Likes0Comments
An MIT study has been making strides towards developing computational models that mimic the human auditory system, which could enhance the design of hearing aids, cochlear implants, and brain-machine interfaces. These computational models stem from advances in machine learning. The study found that internal representations generated by deep neural networks often mirror those within the…

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A computational model successfully depicts the hard-to-capture transitional stages of chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 11, 202440Views0Likes0Comments
A group of MIT researchers has developed a new machine learning model which rapidly calculates the structure of transition states during chemical reactions. This fleeting moment is a crucial "point of no return" in reactions. Although this transition state is vital to understanding the pathway of the reaction, it has been notoriously difficult to observe…

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A team from MIT publishes studies about 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 11, 202444Views0Likes0Comments
A group of leaders and scholars from MIT has released a set of policy briefs aimed at developing a framework for the governance of artificial intelligence (AI) in the United States. The goal of this framework is to enhance US leadership in AI while mitigating potential risks and exploring the benefits of AI deployment. The main…

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A computer scientist expands the dimensions 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 11, 202433Views0Likes0Comments
Justin Solomon, an Associate Professor in the Massachusetts Institute of Technology (MIT)'s Department of Electrical Engineering and Computer Science (EECS) and member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), is leveraging geometric techniques to tackle complex problems in data science. Quite often, these problems are seemingly unrelated to shapes. For example, when a…

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Bridging the gap between design and production 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 11, 202434Views0Likes0Comments
Researchers from Massachusetts Institute of Technology (MIT) and the Chinese University of Hong Kong have developed a digital simulator that mimics the photolithography process, a technique used to manufacture computer chips and optical devices. The project marks the first use of actual data from a photolithography system in the construction of a simulator. This advancement could…

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Deep neural networks exhibit potential in serving as models for human auditory processing.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 11, 202433Views0Likes0Comments
A study by Massachusetts Institute of Technology (MIT) researchers has indicated that computational models that perform auditory tasks could speed up the development of improved hearing aids, cochlear implants, and brain-machine interfaces. In the study, the largest ever conducted into deep neural network-based models trained to perform hearing-related functions, it was found that most mimic…

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The computational model successfully records the hard-to-capture transition stages of chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 11, 202436Views0Likes0Comments
A team of researchers at the Massachusetts Institute of Technology (MIT) has developed a machine learning-based method to swiftly calculate the structures of transition states, crucial moments in chemical reactions. This state, at which molecules attain the necessary energy for a reaction, is important but fleetingly transient and difficult to experimentally observe. Calculating these structures…

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Direct Nash Optimization (DNO), a highly scalable machine learning algorithm, has been launched by Microsoft AI. This algorithm seamlessly integrates the straightforwardness and stability of Contrastive Learning, with the broad applicability of optimizing universal preferences.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 10, 202427Views0Likes0Comments
The development of Large Language Models (LLMs) has depicted significant progress in the field of artificial intelligence, particularly in generating text, reasoning, and decision-making in a manner resembling human-like abilities. Despite such advancements, achieving alignment with human ethics and values remains a complex issue. Traditional methodologies such as Reinforcement Learning from Human Feedback (RLHF) have…

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This Research Article Presents PISSA: Adapting Principal Singular Values and Singular Vectors of Large-Scale Language Models in Machine Learning

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 10, 202435Views0Likes0Comments
As artificial intelligence continues to develop, researchers are facing challenges with fine-tuning large language models (LLMs). This process, which improves task performance and ensures that AI behaviors align with instructions, is costly because it requires significant GPU memory. This is especially problematic for large models like LLaMA 6.5B and GPT-3 175B. To overcome these challenges, researchers…

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