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Explaining Tokens — the Language and Currency of AI

NVIDIA

Under the hood of every AI application are algorithms that churn through data in their own language, one based on a vocabulary of tokens. AI models process tokens to learn the relationships between them and unlock capabilities including prediction, generation and reasoning.

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Navigating AI Bias: A Guide for Responsible Development

Unite.AI

Businesses relying on AI must address these risks to ensure fairness, transparency, and compliance with evolving regulations. The following are risks that companies often face regarding AI bias. Algorithmic Bias in Decision-Making AI-powered recruitment tools can reinforce biases, impacting hiring decisions and creating legal risks.

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YOLO Explained: From v1 to v11

Viso.ai

YOLO (You Only Look Once) is a family of real-time object detection machine-learning algorithms. Multiple machine-learning algorithms are used for object detection, one of which is convolutional neural networks (CNNs). Object detection is a computer vision task that uses neural networks to localize and classify objects in images.

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Simon Randall, CEO and Co-Founder of Pimloc – Interview Series

Unite.AI

Can you explain the key features and benefits of Pimloc's Secure Redact privacy platform? Pimloc’s AI models accurately detect and redact PII even under challenging conditions. These deep learning algorithms are trained on domain-specific videos from sources like CCTV, body-worn cameras, and road survey footage.

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AI Emotion Recognition Using Computer Vision

Heartbeat

It gives the computer the ability to observe and learn from visual data just like humans. Modeling representations of facial expressions by detecting facial landmarks [ Source ] A model is trained to first identify regions of interest from visual images. and applies this learning tosolving problems.