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AI trends in 2023: Graph Neural Networks

AssemblyAI

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. And why do Graph Neural Networks matter in 2023? We find that the term Graph Neural Network consistently ranked in the top 3 keywords year over year.

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Google Research, 2022 & beyond: Algorithmic advances

Google Research AI blog

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Hence, developing algorithms with improved efficiency, performance and speed remains a high priority as it empowers services ranging from Search and Ads to Maps and YouTube. You can find other posts in the series here.)

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Google Research, 2022 & beyond: Algorithms for efficient deep learning

Google Research AI blog

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. Below, we highlight a panoply of works that demonstrate Google Research’s efforts in developing new algorithms to address the above challenges.

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Roadmap to Master NLP in 2022

Analytics Vidhya

The post Roadmap to Master NLP in 2022 appeared first on Analytics Vidhya. Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” ” Then I began to write a brief response.

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A New Olympics Event: Algorithmic Video Surveillance

Flipboard

As skiers schussed and swerved in a snow park outside Beijing during the 2022 Winter Olympics, a few may have noticed a string of towers along the way. If, however, the surveillance system fines one neglectful neighbor more than another because its algorithm favors one skin color or clothing style over another, opinions could change.

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CMS develops new AI algorithm to detect anomalies

Flipboard

The new system was deployed in the barrel of the ECAL in 2022 and in the endcaps in 2023. Autoencoders, a specialised type of neural network, are designed for unsupervised learning tasks. It is trained to recognise the normal detector behaviour from existing good data and to detect any deviations.

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Review: IDECNN-Improved Differential Evolution of Convolutional Neural Network (Image Classification)

Towards AI

Review: IDECNN-Improved Differential Evolution of Convolutional Neural Network (Image Classification) In this story, our research paper, titled: “Designing optimal convolutional neural network architecture using differential evolution algorithm” [1], is reviewed.