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Google AI Introduces V-MoE: A New Architecture For Computer Vision Based...

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Throughout the previous few decades, deep learning advances have contributed to outstanding outcomes on a wide range of tasks, including image classification, machine translation,...

Latest Stanford Research Breaks World Record In DNA Sequencing Technique Using...

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Using NVIDIA Clara, Google DeepVariant, and Oxford Nanopore Technologies sequencing, the Stanford University School of Medicine has been able to identify genetic diseases in...

Google AI Introduces ‘Federated Reconstruction’ Framework That Enables Scalable Partially Local...

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Federated learning is a machine learning technique in which an algorithm is trained across numerous decentralized edge devices or servers, keeping local data samples...

A New Google Research Introduces ALX For Large Scale Matrix Factorization...

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One of the most important approaches in recommender systems and graph analysis is matrix factorization. Alternating least squares (ALS) is a basic approach for...

Understanding AlphaZero Neural Network’s SuperHuman Chess Ability

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As a common and (sometimes) proven belief, deep learning systems seem to learn uninterpretable representations and are far from human understanding. Recently, some studies...

Google AI Proposes Temporal Fusion Transformer (TFT): An Attention-Based DNN (Deep...

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Deep learning technologies, such as automatic learning of temporal dependence and automated handling of temporal structures like trends and seasonality, hold a lot of...

Google AI Introduces ‘GSPMD’: A Largely Automated Parallelization System For Machine...

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In many machine learning (ML) applications of the real world, such as language understanding, computer vision, and neural machine translation, scaling neural networks, whether...

Google AI’s ‘TokenLearner’ Can Improve Vision Transformer Efficiency And Accuracy

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Transformer models consistently obtain state-of-the-art computer vision tasks, including object detection and video classification. In standard convolutional approaches, images are processed pixel-by-pixel. To obtain...

Google AI’s New Study Focusses on Understanding What Linguistic Information is...

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Language models which are pre-trained, such as BERT and GPT-3, have been getting increasingly popular in Natural Language Processing (NLP) in recent years. Language...

The Researchers Propose a Family of Next Generation Transformer Models That...

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Large-scale transformer systems have drastically enhanced natural language processing (NLP) tasks. The original Transformer significantly improved the state-of-the-art in machine translation. However, the advantages...
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