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An algorithm developed at MIT aids in predicting the occurrence of severe weather events.

Algorithms, Artificial Intelligence, Climate, Climate change, Computer modeling, Defense Advanced Research Projects Agency (DARPA), Disaster response, Earth and atmospheric sciences, Environment, Fluid dynamics, Hurricanes, Machine learning, Mechanical engineering, Natural disasters, Planetary science, Research, School of Engineering, Uncategorized, WeatherMarch 27, 202435Views0Likes0Comments
Assessing a community’s risk of extreme weather events – such as catastrophic storms and catastrophic flooding – is a key task for policymakers who are trying to prepare for the potential impacts of global climate change. Despite major advancements in technology and modeling techniques, however, these forecasts leave a lot to be desired. Now, a…

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Scientists from GSK AI and Imperial College have launched RAmBLA, a machine learning tool created to assess the dependability of LLMs as auxiliary aids in the biomedical field.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 26, 202434Views0Likes0Comments
The increased adoption and integration of large Language Models (LLMs) in the biomedical sector for interpretation, summary and decision-making support has led to the development of an innovative reliability assessment framework known as Reliability AssessMent for Biomedical LLM Assistants (RAmBLA). This research, led by Imperial College London and GSK.ai, puts a spotlight on the critical…

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Microsoft’s AI presents a new Machine Learning method named CoT-Influx, that enhances the limitation of Few-Shot Chain-of-Thoughts (CoT) Learning for better mathematical reasoning in Language Learning Models (LLM).

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 26, 202429Views0Likes0Comments
Large Language Models (LLMs) have proven to be game-changers in the field of Artificial Intelligence (AI), thanks to their vast exposure to information and versatile application scope. However, despite their many capabilities, LLMs still face hurdles, especially in mathematical reasoning, a critical aspect of AI’s cognitive skills. To address this problem, extensive research is being…

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Microsoft AI introduces CoT-Influx, an innovative machine learning method that extends the limits of Few-Shot Chain-of-Thoughts (CoT) Learning to enhance mathematical reasoning in Language Learning Models (LLM).

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 26, 202434Views0Likes0Comments
Large Language Models (LLMs) have transformed the landscape of Artificial Intelligence. However, their true potential, especially in mathematic reasoning, remains untapped and underexplored. A group of researchers from the University of Hong Kong and Microsoft have proposed an innovative approach named 'CoT-Influx' to bridge this gap. This approach is aimed at enhancing the mathematical reasoning…

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AI enhances the resolution of issues in intricate 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 26, 202436Views0Likes0Comments
Companies like FedEx find the task of efficiently routing holiday packages massively complex, often requiring the use of specialized software to find a solution. This software, called a mixed-integer linear programming (MILP) solver, is used to break down large optimization problems into smaller bits and find the best solution using algorithms. However, this process can…

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Eric Evans is set to resign from his position as the director of MIT Lincoln Laboratory.

Administration, Artificial Intelligence, Center for International Studies, Collaboration, Community, Cybersecurity, Department of Defense (DoD), Department of Political Science, Leadership, Lincoln Laboratory, Machine learning, School of Engineering, School of Humanities Arts and Social Sciences, Security studies and military, Staff, UncategorizedMarch 26, 202435Views0Likes0Comments
Eric Evans, the director of MIT Lincoln Laboratory, will be stepping down from his position on July 1, 2024, after an 18-year tenure. Following this, he will be assuming the role of fellow in the director's office at Lincoln Laboratory, as well as hold an appointment as a senior fellow in the Security Studies Program…

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AI hastens the resolution of difficult situations through problem-solving.

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 26, 202440Views0Likes0Comments
Numerous companies like FedEx grapple with the sophisticated problem of optimising the routing of holiday packages. Specialised software known as a mixed-integer linear programming (MILP) solver is often used to split this massive optimisation issue into smaller pieces, allowing generic algorithms to locate the most suitable solution. This time-consuming process sometimes forces companies to settle…

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Engineers at MIT have devised a method to ascertain the behavior 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 26, 202436Views0Likes0Comments
Researchers from MIT have developed a machine learning approach that could replace the intuition-based methods typically used in the creation of catalysts. The team, led by graduate student Xiaochen Du, devised a system that offers more detailed insights than conventional techniques, identifying previously undiscovered atomic configurations in a material that had been researched for three…

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Scientists at UC Berkeley have introduced EMMET, a novel machine learning platform that brings together two widely-utilized model editing methods, ROME and MEMIT, toward a common goal.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 25, 202437Views0Likes0Comments
Artificial Intelligence (AI) is an ever-evolving field that requires effective methods for incorporating new knowledge into existing models. The fast-paced generation of information renders models outdated quickly, necessitating model editing techniques that can equip AI models with the latest information without compromising their foundation or overall performance. There are two key challenges in this process: accuracy…

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PJRT Plugin: A User-friendly Interface Plugin for Runtime and Compiler Device, Facilitating Integration of Machine Learning Hardware and Frameworks.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMarch 25, 202436Views0Likes0Comments
Machine learning frameworks' integration with various hardware architectures has proven to be a complicated and time-consuming process, primarily due to the lack of standardized interfaces, which frequently results in compatibility problems and impedes the adoption of new hardware technologies. It usually requires developers to write specific code for each piece of hardware, with communication costs…

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