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20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019

Analytics Vidhya

The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya. Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. That’s the peg we hang our hat.

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AI trends in 2023: Graph Neural Networks

AssemblyAI

Top 50 keywords in submitted research papers at ICLR 2022 ( source ) A recent bibliometric study systematically analysed this research trend, revealing an exponential growth of published research involving GNNs, with a striking +447% average annual increase in the period 2017-2019.

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Huawei’s Ascend 910C: A Bold Challenge to NVIDIA in the AI Chip Market

Unite.AI

The Ascend series began with the Ascend 310, designed for edge computing , and the Ascend 910, aimed at high-performance data centers. Launched in 2019, the Ascend 910 was recognized as the world's most powerful AI processor, delivering 256 teraflops (TFLOPS) of FP16 performance.

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Commonsense Reasoning for Natural Language Processing

Probably Approximately a Scientific Blog

Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). 2019) used BERT as the neural component to represent the instance (statement vector). 2019) fine-tuned a BERT model to solve the multiple choice questions. Image credit: Lin et al.

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Computer Vision and Deep Learning for Healthcare

PyImageSearch

Computer Vision and Deep Learning for Oil and Gas Computer Vision and Deep Learning for Transportation Computer Vision and Deep Learning for Logistics Computer Vision and Deep Learning for Healthcare (this tutorial) Computer Vision and Deep Learning for Education To learn about Computer Vision and Deep Learning for Healthcare, just keep reading.

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10 ML & NLP Research Highlights of 2019

Sebastian Ruder

This post gathers ten ML and NLP research directions that I found exciting and impactful in 2019. 2019 ) and other variants. In biology, Transformer language models have been pretrained on protein sequences ( Rives et al., In computer vision, approaches leveraged self-supervision including CPC ( Hénaff et al.,

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OMG-Seg: 10 Segmentation Tasks in 1 Framework (2024)

Viso.ai

The concept of image segmentation has formed the basis of various modern Computer Vision (CV) applications. Segmentation models help computers understand the various elements and objects in a visual reference frame, such as an image or a video. provides a robust end-to-end no-code computer vision solution – Viso Suite.