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How to Detect COVID-19 Cough From Mel Spectrogram Using Convolutional Neural Network

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon COVID-19 COVID-19 (coronavirus disease 2019) is a disease that causes respiratory. The post How to Detect COVID-19 Cough From Mel Spectrogram Using Convolutional Neural Network appeared first on Analytics Vidhya.

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AI News Weekly - Issue #343: Summer Fiction Reads about AI - Jul 27th 2023

AI Weekly

yahoo.com A Novel Type of Neural Network Comes to the Aid of Big Physics With a machine learning tool known as a sparse convolutional neural network (SCNN), researchers can focus on the relevant parts of their data and screen out the rest. Now through 7/31, just pay $39.99 once and keep the whole bundle for life.

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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. And the total dollar damage of wildfires in California from 2019 to 2021 was estimated at over $25 billion.

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From Atari to Doom: How Google is Redefining Video Games with AI

Unite.AI

Central to this development was a convolutional neural network, trained using Q-learning , which processed raw screen pixels and converted them into game-specific actions based on the current state. In 2019, Google introduced AlphaStar , an AI agent capable of playing StarCraft II professionally.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

Six algorithms available in Forecast were tested: Convolutional Neural Network – Quantile Regression (CNN-QR), DeepAR+ , Prophet , Non-Parametric Time Series (NPTS), Autoregressive Integrated Moving Average (ARIMA), and Exponential Smoothing (ETS).

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The Evolution of the GPT Series: A Deep Dive into Technical Insights and Performance Metrics From GPT-1 to GPT-4o

Marktechpost

GPT-2: Scaling Up GPT-2, released in February 2019, significantly scaled up the model size and training data, demonstrating the benefits of larger models and datasets. Scaling Laws One of the key insights driving the development of the GPT series is understanding scaling laws in neural networks. Model Size: 1.5

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Machine Learning on Graphs @ NeurIPS 2019

ML Review

Let’s check out the goodies brought by NeurIPS 2019 and co-located events! NeurIPS’18 presented several papers with deep theoretical studies of building hyperbolic neural nets. Source: Chami et al Chami et al present Hyperbolic Graph Convolutional Neural Networks (HGCN) and Liu et al propose Hyperbolic Graph Neural Networks (HGNN).