Meta AI Develops A Conversational Parser For On-Device Voice Assistants

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A variety of devices such as computers, smart speakers, cellphones, etc., utilize conversational assistants for helping users with tasks ranging from calendar management to...

AWS Launches ‘SageMaker Studio Lab’: A Free Tool To Learn and Experiment With Machine...

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AWS introduced SageMaker Studio Lab, a free offering to assist developers master machine learning techniques and experimenting with the technology, at its re: Invent...

Researchers from Sea AI Lab and National University of Singapore Introduce ‘PoolFormer’: A Derived...

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The main hype of the last few years in the world of Deep Learning is definitely Transformers. Since their advent in 2017 with the...

Google AI Introduces MURAL (Multimodal, Multi-task Retrieval Across Languages) For Image–Text Matching

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There is no straight one-to-one translation from one language to another for many concepts. Even when there is, such translations typically contain various connections...

LinkedIn Formulates Entity Inference As An Inference Problem Using Graph Neural Networks

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LinkedIn allows its users to add information about themselves to their profiles, such as their career history, education, abilities, to name a few. They...

Purdue University Researchers Introduce A Compositional Reader Model That Composes Multiple Documents In One...

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Natural language processing (NLP) is an area of computer science—more specifically, a branch of artificial intelligence (AI)—that deals with computers' capacity to understand the...

Researchers Introduce ‘PERSIA’: A PyTorch-Based System for Training Large Scale Deep Learning Recommendation Models...

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Deep learning-based models dominate the contemporary landscape of production recommender systems. Modern recommender systems offer a plethora of real-world applications. Thanks to deep neural...

Microsoft And The University Of Washington Researchers Introduce A Proof-Of-Concept Molecular Controller In The...

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According to current forecasts, data storage consumption is expected to expand by 20.4 percent year over year to around nine zettabytes by 2024. To...

Google Research Release Reinforcement Learning Datasets For Sequential Decision Making

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Most reinforcement learning (RL) and sequential decision-making agents generate training data through a high number of interactions with their environment. While this is done...

Facebook AI Introduces ‘NeuralProphet’: A Hybrid Forecasting Framework Based on PyTorch And Trained With...

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Meta/Facebook AI introduces 'Neural Prophet', a simple forecasting package that provides a solution to some of the most prevalent needs of customers, seeking to...

Facebook AI and University of Guelph Open-Sources Graph HyperNetworks (GHN-2): A Meta-Model That Predicts...

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In machine learning pipelines, deep learning has proved successful in automating feature design. However, many researchers reveal that the techniques for improving neural network...

Researchers From Imperial College London have Developed ‘NeatNet’: A Machine Learning Tool For Robots...

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As robots become more advanced and less expensive, more people may incorporate them into their homes. As a result, several roboticists have been working...

An MIT Research Develops A New Machine Learning Model That Understands The Underlying Relationships...

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Deep learning models do not see the world the same way we humans do. Humans have the ability to see objects and interpret their...

Researchers At Trinity College Dublin and University Of Bath Introduce A Deep Neural Network-Based...

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It's difficult to make realistic quadruped animations. Producing realistic animations with key-framing and other techniques takes a long time and demand a lot of...

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