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Conformer-1: A robust speech recognition model trained on 650K hours of data

AssemblyAI

"Conformer: Convolution-augmented transformer for speech recognition." " arXiv preprint arXiv:2005.08100 (2020). [2] " Advances in neural information processing systems 30 (2017). [3] "Contextnet: Improving convolutional neural networks for automatic speech recognition with global context."

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AI News Weekly - Issue #360: How to talk about the OpenAI drama at Thanksgiving dinner - Nov 23rd 2023

AI Weekly

ndtv.com Research Faster R-CNNs Fast R-CNN Faster R-CNN The Base Network Anchors Region Proposal Network (RPN) Training the RPN Region of Interest (ROI) Pooling Region-Based Convolutional Neural Network The Complete Training Pipeline Summary Citation Information Faster R-CNNs Deep learning has impacted almost every facet of.

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Exploring the Intersection of AI and Blockchain: Opportunities & Challenges

Unite.AI

million in 2020. Some prominent AI techniques include neural networks, convolutional neural networks, transformers, and diffusion models. According to Fortune Business Insights, the global AI and blockchain market value is projected to grow to $930 million by 2027 , compared to $220.5 What is Blockchain?

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Redefining clinical trials: Adopting AI for speed, volume and diversity

IBM Journey to AI blog

For instance, the FDA released guidance in November 2020 titled, “Enhancing the diversity of clinical trial populations.” The FDA’s 2020 guidance emphasized expanding eligibility criteria and reducing unnecessary exclusions. Recognizing this gap, regulators emphasize the importance of greater diversity.

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How AI Helps Fight Wildfires in California

NVIDIA

Harnessing the raw power of NVIDIA GPUs and aided by a network of thousands of cameras dotting the Californian landscape, DigitalPath has refined a convolutional neural network to spot signs of fire in real time. a short drive from the town of Paradise, where the state’s deadliest wildfire killed 85 people in 2018.

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AI Emotion Recognition and Sentiment Analysis (2025)

Viso.ai

With the rapid development of Convolutional Neural Networks (CNNs) , deep learning became the new method of choice for emotion analysis tasks. Generally, the classifiers used for AI emotion recognition are based on Support Vector Machines (SVM) or Convolutional Neural Networks (CNN).

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ML and NLP Research Highlights of 2020

Sebastian Ruder

2020 ), Turing-NLG , BST ( Roller et al., 2020 ), and GPT-3 ( Brown et al., 2020 ; Fan et al., 2020 ), quantization ( Fan et al., 2020 ), and compression ( Xu et al., 2020 ; Fan et al., 2020 ), quantization ( Fan et al., 2020 ), and compression ( Xu et al., 2020 ) and Big Bird ( Zaheer et al.,

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