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Algorithmic Bias in Facial Recognition Technologies

Towards AI

Algorithmic Bias in Facial Recognition Technologies Exploring how facial recognition systems can perpetuate biases. While FR was limited by a lack of computational power and algorithmic accuracy back then, we have since seen huge innovative improvements in the field.

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Computer Vision and Deep Learning for Education

PyImageSearch

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. As soon as the system adapts to human wants, it automates the learning process accordingly.

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A Non-Deep Learning Approach to Computer Vision

Heartbeat

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

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AI Domain Names Skyrocket in Value With Recent Record Sales

Unite.AI

At the time I believed that deep reinforcement learning algorithms would eventually lead to an AI explosion, and it only made sense that the AI industry would adopt the.ai An easy price comparison, is when anticipating that genomics would need deep learning to scale, I acquired Genes.ai in late 2020 for $16,025.

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AI Emotion Recognition and Sentiment Analysis (2025)

Viso.ai

Human-machine interaction is an important area of research where machine learning algorithms with visual perception aim to gain an understanding of human interaction. State-of-the-art emotion AI Algorithms Outlook, current research, and applications What Is AI Emotion Recognition? About us: Viso.ai What is Emotion AI?

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Computer Vision and Deep Learning for Healthcare

PyImageSearch

Figure 1: Global Funding in Health Tech Companies (source: Mrazek and O’Neill, 2020 ). This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. This series is about CV and DL for Industrial and Big Business Applications.

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Bringing Deep Learning to the Edge: How Edge Computing is Revolutionizing AI

Heartbeat

As technology continues to improve exponentially, deep learning has emerged as a critical tool for enabling machines to make decisions and predictions based on large volumes of data. Edge computing may change how we think about deep learning. Standardizing model management can be tricky but there is a solution.