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A computer science professional 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 3, 202436Views0Likes0Comments
Over 2000 years ago, Greek mathematician Euclid drastically influenced how we perceive shapes. Adding a modern facet to these ancient teachings, Justin Solomon is leveraging modern geometric methods to confront complex issues often unrelated to shapes. As an Associate Professor in the MIT Department of Electrical Engineering and Computer Science and a member of MIT’s…

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A computer engineer is pushing the limits 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 3, 202438Views0Likes0Comments
Drawing influence from over 2,000 years ago, MIT Professor Justin Solomon is building upon the works of Greek mathematician Euclid - the father of geometry, using modern geometric techniques to tackle difficult problems, often not related to shapes. Solomon works in the Department of Electrical Engineering and Computer Science as part 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 3, 202434Views0Likes0Comments
Photolithography, a process used to etch features onto surfaces like computer chips and optical lenses, often results in devices that underperform due to tiny variations during manufacturing. To address this, researchers from MIT and the Chinese University of Hong Kong have employed machine learning to create a digital simulator that replicates a specific photolithography manufacturing…

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Promising signs are exhibited by deep neural networks in their potential of modeling human hearing.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 3, 202435Views0Likes0Comments
In the largest study of deep neural networks that can perform auditory tasks, MIT found that the models mimic human auditory representations when exposed to the same sounds. Neural networks are models that have multiple layers of information-processing units that can be trained to perform particular tasks using large amounts of data. These models are…

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How AI is Set to Improve Your Beer Flavor Significantly

AI, beer, Culture, Machine learning, UncategorizedApril 3, 202435Views0Likes0Comments
Scientists are turning to artificial intelligence (AI) to predict and enhance the taste of beer, according to a study published in Nature Communications. The study, titled "Predicting and improving complex beer flavour through machine learning," details the usage of machine-learning models trained on data related to the chemical properties of beer, with the aim of…

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A recent research effort focuses on coordinating AI with collective human principles gathered through crowdsourcing.

Ethics & Society, Machine learning, OpenAI, UncategorizedApril 3, 202435Views0Likes0Comments
Researchers from the Meaning Alignment Institute have proposed a new method for aligning artificial intelligence (AI) systems with human values, termed Moral Graph Elicitation (MGE). The team highlighted the increasing importance of ensuring that AI aligns with people's values as these systems become more embedded in everyday life, and warned against AI systems being blindly…

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DRAGIN: An Innovative Machine Learning Infrastructure for Enhanced Dynamic Retrieval in Expansive Language Models Surpassing Traditional Techniques

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 3, 202437Views0Likes0Comments
The Dynamic Retrieval Augmented Generation (RAG) approach is designed to boost the performance of Large Language Models (LLMs) through determining when and what external information to retrieve during text generation. However, the current methods to decide when to recover data often rely on static rules and tend to limit retrieval to recent sentences or tokens,…

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An automated setup instructs users about the appropriate timing for cooperation 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 3, 202438Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have developed a system that educates a user on when to trust an AI assistant's recommendations. During the onboarding process, the user practices collaborating with the AI using training exercises and receives feedback on their and the AI's performance. This system led to a 5% improvement…

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MIT researchers investigating the influence and uses of generative AI have received the second installment of seed funding.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedApril 3, 202444Views0Likes0Comments
Last summer, MIT called upon the academic community to provide papers that suggest effective approaches and policy recommendations in the field of generative AI. Expectations were surpassed when 75 proposals were received. After reviewing these submissions, the institution funded 27 of the proposed projects. During the fall, the response to a second call for proposals…

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AI hastens the resolution of complex issues or situations.

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMarch 27, 202437Views0Likes0Comments
Santa Claus can deliver presents worldwide in one night, but for companies like FedEx, this task isn't so simple - and it is so complex, dedicated software is often used to solve it. Known as a mixed-integer linear programming (MILP) solver, the software breaks down this vast optimization problem into smaller pieces and then employs…

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Engineers at MIT have devised a method to ascertain the behaviour of material surfaces.

Artificial Intelligence, Chemistry, Department of Defense (DoD), DMSE, Machine learning, Materials science and engineering, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMarch 27, 202436Views0Likes0Comments
A group of MIT researchers has developed a machine learning (ML) approach that could revolutionize the way we design catalysts for chemical reactions. The method simplifies the intricate process of designing new compounds or alloys, traditionally dependent on the intuition of experienced chemists, by using ML to provide more detailed information than conventional techniques can. The…

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