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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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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, 202436Views0Likes0Comments
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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Transforming Healthcare: OpenEvidence Debuts Medical AI API for Improved Clinical Solutions

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 26, 202431Views0Likes0Comments
Artificial Intelligence (AI) is reshaping numerous aspects of life in the modern world, and the medical field is no exception. A remarkable breakthrough in this area has been achieved by OpenEvidence, a medical AI created under the Mayo Clinic Platform Accelerate. The AI has set a benchmark by scoring an impressive 90% on the United…

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MathVerse: A Comprehensive Visual Math Benchmark Crafted for Fair, Thorough Assessment of Multi-modal Extensive Language Models (MLLMs)

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 26, 202437Views0Likes0Comments
The ability of large Multimodal Language Models (MLLMs) to tackle visual math problems is currently the subject of intense interest. While MLLMs have performed remarkably well in visual scenarios, the extent to which they can fully understand and solve visual math problems remains unclear. To address these challenges, frameworks such as GeoQA and MathVista have…

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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, 202435Views0Likes0Comments
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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This AI article presents SafeEdit: An innovative standard for exploring the purification of LLMs through knowledge modification.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 26, 202439Views0Likes0Comments
As the advancements in Large Language Models (LLMs) such as ChatGPT, LLaMA, and Mistral continue, there are growing concerns about their vulnerability to harmful queries. This has caused an immediate need to implement robust safeguards. Techniques such as supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and direct preference optimization (DPO) have been useful…

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Improving User Control in Generative Language Models: Algorithmic Solution for Filtering Toxicity

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 26, 202438Views0Likes0Comments
Generative Language Models (GLMs) are now ubiquitous in various sectors, including customer service and content creation. Consequently, handling potential harmful content while keeping linguistic diversity and inclusivity has become important. Toxicity scoring systems aim to filter offensive or hurtful language, but often misidentify harmless language as harmful, especially from marginalized communities. This restricts access to…

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Reforming High-Dimensional Optimization: The Dimension-Free Convergence of the Krylov Subspace Cubic Regularized Newton Method.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMarch 26, 202437Views0Likes0Comments
Optimizing efficiency in complex systems is a significant challenge for researchers, particularly in high-dimensional spaces commonly found in machine learning. Second-order methods like the cubic regularized Newton (CRN) method demonstrate rapid convergence; however, their application in high-dimensional problems has been limited due to substantial memory and computational requirements. To counter these challenges, scientists from UT…

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Introducing Claude-Investor: The Maiden Claude 3 Investment Analysis Agent Repository.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 26, 202446Views0Likes0Comments
In today's ever-evolving financial universe, investors often feel inundated by the sheer volume of data and information that needs to be analyzed while examining investment prospects. Without the right tools and guidance, investors often struggle to make sound financial decisions. Traditional approaches or financial advisor services, although resourceful, can often turn out to be time-consuming…

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Researchers from EPFL have developed DenseFormer: A Tool for Boosting Transformer Efficiency using Depth-Weighted Averages to Improve Language Modeling Performance and Speed.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 26, 202437Views0Likes0Comments
In recent years, natural language processing (NLP) has seen significant advancements due to the transformer architecture. However, as these models grow in size, so do their computational costs and memory requirements, limiting their practical use to a select few corporations. Increasing model depths also present challenges, as deeper models need larger datasets for training, which…

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EPFL Researchers’ DenseFormer: Improving Transformer Efficiency through Depth-Weighted Averages for Optimal Language Modeling Speed and Performance.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMarch 26, 202434Views0Likes0Comments
Transformer architecture has greatly enhanced natural language processing (NLP); however, issues such as increased computational cost and memory usage have limited their utility, especially for larger models. Researchers from the University of Geneva and École polytechnique fédérale de Lausanne (EPFL) have addressed this challenge by developing DenseFormer, a modification to the standard transformer architecture, which…

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