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

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 7, 202430Views0Likes0Comments
A study from MIT has suggested that machine-learning computational models can help design more effective hearing aids, cochlear implants, and brain-machine interfaces by mimicking the human auditory system. The study was based on deep neural networks which, when trained on auditory tasks, create internal representations similar to those generated in the human brain when processing…

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This theoretical review on neural network structures using Topos Theory is presented in the Artificial Intelligence Paper from King’s College London.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 6, 202435Views0Likes0Comments
Researchers at King's College London have conducted a study that delves into the theoretical understanding of transformer architectures, such as the model used in ChatGPT. Their goal is to explain why this type of architecture is so successful in natural language processing tasks. While transformer architectures are widely used, their functional mechanisms are yet to…

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The automated platform instructs users about the appropriate time to partner 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 6, 202438Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have developed a system that teaches users when to trust AI and when to ignore it, and it has already led to an approximately 5% increase in accuracy during image prediction tasks. The researchers designed a customised onboarding process, which is when the user is familiarized…

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A team from MIT publishes research papers 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 6, 202440Views0Likes0Comments
A group of scholars from the Massachusetts Institute of Technology (MIT) has outlined a governance framework for artificial intelligence (AI). The initiative aims to educate U.S. lawmakers on the implementation of AI regulations that can enhance their leadership in the field, minimize any potential harm, and promote beneficial practices. The main policy paper, titled "A…

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A computer expert is advancing 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 6, 202441Views0Likes0Comments
Over 2,000 years ago, Euclid, a Greek mathematician often referred to as the father of geometry, fundamentally transformed our understanding of shapes. Today, Justin Solomon, a professor at MIT's Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), employs contemporary geometric approaches to tackle complex…

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Bridging the gap between design and production for optical equipment.

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 6, 202436Views0Likes0Comments
Photolithography, the process of using light to precisely etch designs onto a surface, is a primary method for creating computer chips and optical devices. However, it's common for slight deviations during manufacturing to cause the final product to diverge from the intended design. To bridge this gap, researchers from MIT and the Chinese University of…

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Deep neural networks exhibit potential in replicating human auditory models.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 6, 202436Views0Likes0Comments
A new study from MIT suggests that computational models rooted in machine learning are moving closer to simulating the structure and function of the human auditory system. Such technology could improve the development of hearing aids, cochlear implants, and brain-machine interfaces. The study analyzed deep neural networks trained for auditory tasks, finding similarities with the…

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Google AI researchers have developed a new privacy-centric cascade system to improve the performance of machine learning models.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 6, 202438Views0Likes0Comments
The concept of cascades in large language models (LLMs) has gained popularity for its high task efficiency while reducing data inference. However, potential privacy issues can arise in managing sensitive user information due to interactivity between local and remote models. Conventional cascade systems lack privacy-protecting mechanisms, causing sensitive data to be unintentionally transferred to the…

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The automated system educates users on the appropriate times to partner 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 6, 202437Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a system that instructs users when to trust an AI system’s decision-making. In medicine, there might be instances like a radiologist using an AI model for reading X-rays where human intervention can make a difference. However, clinicians are uncertain whether to lean on the…

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Group from MIT publishes reports on the regulation 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 6, 202432Views0Likes0Comments
A committee of leaders and scholars from MIT has developed a series of policy briefs outlining a framework for the governance of artificial intelligence (AI) in the U.S. The goal of these papers is to strengthen U.S. leadership in AI, mitigate potential harm from new technologies, and explore how AI deployment can serve society. The primary…

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A computer scientist is advancing 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 6, 202436Views0Likes0Comments
Over 2000 years since Greek mathematician Euclid revolutionized geometry, Justin Solomon of MIT's Electrical Engineering and Computer Science Department and the Computer Science and Artificial Intelligence Laboratory, is using modern geometric techniques to solve complex problems in various fields. From machine learning to autonomous vehicle recognition systems, Solomon integrates geometry with statistical research for groundbreaking…

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Bridging the gap between design and production 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 6, 202435Views0Likes0Comments
Photolithography is a complex process often used in making computer chips and lenses where light is expertly etched onto a surface to create features. However, tiny deviations that occur during the manufacturing process often result in the final product not meeting the initially intended design. To rectify this, a team of researchers from MIT and the…

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