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Introducing DL3DV-10K: A Comprehensive Scene Dataset for Deep Learning-based 3D Vision Applications

Neural View Synthesis (NVS) is an exciting and complex challenge that can generate realistic 3D scenes from multi-view videos even in diverse real-world scenarios. To push the boundaries of NVS capabilities, a team of researchers from Purdue University, Adobe, Rutgers University and Google developed the DL3DV-140 benchmark as a litmus test for the effectiveness of…

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Alibaba Researchers Introduce Unicron: An AI System Tailored for Efficient Self-Repair in Large-Scale Language Model Training

We are thrilled to share the news of the remarkable achievement of Alibaba Group and Nanjing University researchers - the development of Unicron, a novel system for efficient self-healing in large-scale language model training. This breakthrough in computational linguistics represents a remarkable leap forward in AI research. Training these models, however, is challenging due to…

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Alibaba Researchers Introduce Unicron: An AI System Tailored for Efficient Self-Repair in Large-Scale Language Model Training

We are thrilled to share the news of the remarkable achievement of Alibaba Group and Nanjing University researchers - the development of Unicron, a novel system for efficient self-healing in large-scale language model training. This breakthrough in computational linguistics represents a remarkable leap forward in AI research. Training these models, however, is challenging due to…

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Introducing DL3DV-10K: A Comprehensive Scene Dataset for Deep Learning-based 3D Vision Applications

Neural View Synthesis (NVS) is an exciting and complex challenge that can generate realistic 3D scenes from multi-view videos even in diverse real-world scenarios. To push the boundaries of NVS capabilities, a team of researchers from Purdue University, Adobe, Rutgers University and Google developed the DL3DV-140 benchmark as a litmus test for the effectiveness of…

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Introducing SPACEL: A Deep Learning-Powered Analysis Toolset for Spatial Transcriptomics

Exciting news! Scientists have developed a revolutionary toolkit, SPACEL, for Spatial Transcriptomics to uncover the mysteries of mRNA expression in individual cells while maintaining their spatial coordinates. This cutting-edge toolkit, created by Prof. Qu Kun and their team from the University of Science and Technology of the Chinese Academy of Sciences, boasts three modules—Spoint, Splane,…

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This Research from MBZUAI Presents 26 Guidelines Aimed at Facilitating the Querying and Prompting of Large Language Models

This year has seen a revolutionary breakthrough in the field of Large Language Models (LLMs) - their unprecedented capabilities in processing multimodal information have created a wave of positive news and stirred excitement in many sectors. With the potential to solve a plethora of problems, it is essential to ensure that LLMs are provided with…

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Nvidia Scientists Publish Open-Source ML System for Time Series Forecasting Evaluation

Time series forecasting is an essential area of study with powerful applications in finance, weather prediction, and demand forecasting. Despite significant progress, challenges remain; particularly in creating models that accurately handle complex data features such as trends, noise, and evolving relationships. This has been addressed with the introduction of TSPP, a comprehensive benchmarking tool from…

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Nvidia Scientists Publish Open-Source ML System for Time Series Forecasting Evaluation

Time series forecasting is an essential area of study with powerful applications in finance, weather prediction, and demand forecasting. Despite significant progress, challenges remain; particularly in creating models that accurately handle complex data features such as trends, noise, and evolving relationships. This has been addressed with the introduction of TSPP, a comprehensive benchmarking tool from…

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Evaluating the Biological Reasoning Performance of Large Language Models Using AI

We are thrilled to announce that a team of researchers from the University of Georgia and Mayo Clinic have explored how well powerful computer algorithms, known as Large Language Models (LLMs), understand and solve biology-related questions. Their groundbreaking research found that OpenAI’s GPT-4 performed remarkably better than similar AI models regarding reasoning about biology! In…

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