Artificial Intelligence

Artificial Intelligence is the process of using computers and machines to mimic human problem-solving abilities.

Artificial intelligence is the study of how machines can think and act like humans. AI has many practical applications, including language translation or recommending products online based on your preferences!

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...

OpenAI Releases A New Feature That Allows Developers To Customize GPT-3,...

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GPT-3 is the advanced natural language processing model developed by OpenAI. It returns a natural language text completion in response to any text request,...

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...

Researchers Develop i-Melt: A Deep Neural Network That Can Predict Glass...

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Glass can be found all around us. It's in our computer screens, next-generation batteries, medical implants, and even volcanoes. Glass is manufactured by melting something...

A New DeepMind Research Studies Language Modeling At Scale

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Language is an essential human component because of its role in demonstrating and promoting comprehension - or intellect. It allows people to express ideas,...

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...

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

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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...

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 and University of Guelph Open-Sources Graph HyperNetworks (GHN-2): A...

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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...

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

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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...