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Meta AI Introduces Chameleon: A New Family of Early-Fusion Token-based Foundation Models that Set a New Bar for Multimodal Machine Learning
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LangChain announces partnership with deepsense.ai
deepsense.ai has partnered with LangChain, a framework that simplifies the development of Large Language Models (LLMs) applications. The partnership allows deepsense.ai to provide support and contribute to the LangChain community. Additionally, deepsense.ai gains exclusive access to…
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M42 Introduces Med42: An Open-Access Clinical Large Language Model (LLM) to Expand Access to Medical Knowledge
Abu Dhabi-based company M42 Health has released Med42, an open-access clinical large language model (LLM) designed to enhance public access to advanced AI capabilities in healthcare. Med42, built using a human-curated medical literature and patient information…
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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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,…
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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.…
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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions
Purina US, a subsidiary of Nestle, used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection on the Petfinder platform. By leveraging Amazon Rekognition Custom Labels, AWS Step Functions, and other AWS services,…
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This AI Research Introduces Flash-Decoding: A New Artificial Intelligence Approach Based on FlashAttention to Make Long-Context LLM Inference Up to 8x Faster
Flash-Decoding is a groundbreaking technique that improves the efficiency of large language models during the decoding process. It addresses the challenges associated with attention operation, making the models up to 8 times faster. By optimizing GPU…
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21-Year-Old Student Deciphered of Ancient Herculaneum Scrolls Using AI
21-year-old Luke Farritor, a computer science student at the University of Nebraska-Lincoln, has made a groundbreaking discovery by using a machine-learning algorithm to read the first-ever text from a burnt scroll found in the ancient city…
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China has a new plan for judging the safety of generative AI—and it’s packed with details
China’s National Information Security Standardization Technical Committee has released a draft document outlining rules for determining problematic generative AI models. The document provides criteria for banning data sources, demands diversification of training materials, and sets requirements…
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This AI Research Presents RoboHive: A Comprehensive Software Platform and Ecosystem for Research in the Field of Robot Learning and Embodied Artificial Intelligence
Researchers have developed RoboHive, a platform for robot learning, to address the challenges in this field. RoboHive serves as a benchmarking and research tool, offering various learning paradigms and hardware integration. Its key features include a…
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Nvidia and Foxconn to build ‘AI factory’ to make EVs
Nvidia and Foxconn are joining forces to build “AI factories” that will accelerate the production of autonomous electric vehicles (EVs). Foxconn, known for manufacturing Apple’s iPhone, aims to capture 5% of the EV manufacturing market by…
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Microsoft Azure AI Introduces Idea2Img: A Self-Refinancing Multimodal AI Framework For The Development And Design Of Images Automatically
Microsoft Azure AI has developed Idea2Img, a self-refinancing multimodal framework for automated image design and generation. Idea2Img utilizes a large language model (GPT-4V) and a text-to-image model to iterate and refine image creation based on user…
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Run Zephyr 7B with an API
Zephyr 7B alpha outperforms Llama 2 70B Chat on MT Bench. Simple code lines teach you how to run it efficiently.