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How Will Data Science Accelerate the Circular Economy?
Actionable data science tips to overcome operational challenges in transitioning to a circular economy include estimating the environmental impact of current linear models, automating life cycle assessment using data analytics, implementing sustainable sourcing and supply chain optimization, addressing the opacity of supply chain networks, streamlining reverse logistics operations, optimizing material efficiency through linear programming, and…
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Researchers from the National University of Singapore propose Show-1: A Hybrid Artificial Intelligence Model that Marries Pixel-Based and Latent-Based VDMs for Text-to-Video Generation
Researchers from the National University of Singapore have developed Show-1, a hybrid model for text-to-video generation. Show-1 combines pixel-based and latent-based video diffusion models (VDMs) to create high-quality videos with precise alignment. The model utilizes pixel VDMs for low-resolution videos and latent VDMs for upsampling to high resolution. Show-1 outperforms other models on video generation…
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Pras Michél claims his lawyer used AI in closing statement
Former Fugees member Pras Michél alleges that his lawyer used an AI program called EyeLevel to draft a subpar closing argument in his recent conviction for conspiracy to defraud the U.S. government. Michél’s new legal team argues that the AI tool led to ineffective assistance of counsel. EyeLevel claims to be the first AI used…
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Are Pre-Trained Foundation Models the Future of Molecular Machine Learning? Introducing Unprecedented Datasets and the Graphium Machine Learning Library
Graph and geometric deep learning models have been successful in machine learning for drug discovery, specifically in modeling atomistic interactions, 3D/4D situations, activity and property prediction, and molecular production. However, the lack of large labeled datasets has limited progress. Researchers have created multitask datasets, developed the Graphium machine learning package, and demonstrated the benefits of…
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To excel at engineering design, generative AI must learn to innovate, study finds
MIT engineers have found that deep generative models (DGMs) used in AI can mimic existing designs but struggle to generate innovative solutions to engineering problems. The study showed that when DGMs were designed with engineering objectives in mind, they produced more innovative and higher-performing designs. The researchers concluded that AI models need to go beyond…
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Microsoft’s Copilot AI assistant is capable of attending Teams meetings
Microsoft is introducing its AI assistant called “Microsoft 365 Copilot” which integrates with ChatGPT and will be available in their office software. The AI tool can generate meeting summaries, draft emails, create Word documents, design PowerPoint presentations, and more. There are concerns about privacy and regulations regarding interaction with AI. Microsoft assures that data processed…
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China to attend the UK’s AI Summit at Bletchley Park
China will be participating in the upcoming UK AI Safety Summit at Bletchley Park, despite initial doubts about their involvement due to security concerns. The summit, which will focus on safety, is the first of its kind globally. The US and China’s geopolitical tensions are increasing, with additional limitations on technology exports from the US.…
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Can We Overcome Prompt Brittleness in Large Language Models? Google AI Introduces Batch Calibration for Enhanced Performance
Large language models (LLMs) face challenges related to prompt brittleness and biases in the input. Google researchers have proposed a new method called Batch Calibration (BC) to address these issues. BC is a zero-shot approach that minimizes additional computational costs and outperforms previous calibration baselines. It offers state-of-the-art performance, making it a practical solution for…
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Institute Professor Daron Acemoglu Wins A.SK Social Science Award
Daron Acemoglu, an economist at MIT, has been awarded the prestigious A.SK Social Science Award from the WZB Berlin Social Science Center. The award recognizes his influential work on the role of institutions in capitalist economies, the balance between states and societies, and the risks of automation. Acemoglu, who has made significant contributions to labor…
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Amazon Researchers Present a Deep Learning Compiler for Training Consisting of Three Main Features- a Syncfree Optimizer, Compiler Caching, and Multi-Threaded Execution
A team of researchers has developed a deep learning compiler for neural network training. The compiler includes a sync-free optimizer, compiler caching, and multi-threaded execution, resulting in significant speedups and resource efficiency compared to traditional approaches. The compiler improves training procedures for real-world applications and has the potential to optimize neural network models across various…