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AI Emotion Recognition and Sentiment Analysis (2025)

Viso.ai

AI emotion recognition is a very active current field of computer vision research that involves facial emotion detection and the automatic assessment of sentiment from visual data and text analysis. This solution enables leading companies to build, deploy, and scale their AI vision applications, including AI emotion analysis.

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AI Emotion Recognition Using Computer Vision

Heartbeat

Photo by Andrea Piacquadio: [link] Computer vision is one of the most widely used and evolving fields of AI. It gives the computer the ability to observe and learn from visual data just like humans. Applications of an emotion recognition system Emotion AI has applications in a variety of fields. Curious to see how Comet works?

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YOLO Explained: From v1 to v11

Viso.ai

Multiple machine-learning algorithms are used for object detection, one of which is convolutional neural networks (CNNs). Viso Suite is use case-agnostic, meaning that it performs all visual AI-associated tasks including people counting, defect detection, and safety tracking.

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AI in Autonomous Underwater Vehicles (AUVs): A Deep Dive

Viso.ai

Unlike remotely operated vehicles (ROVs), AUVs do not require continuous input from operators, and with the development of AI, those vehicles are more capable than ever. AI has enabled AUVs to navigate complex underwater environments, make intelligent decisions, and perform various tasks with minimal human intervention.

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YOLOv7: The Most Powerful Object Detection Algorithm (2023 Guide)

Viso.ai

Most algorithms use a convolutional neural network (CNN) to extract features from the image to predict the probability of learned classes. To overcome those challenges, the concept of Edge AI has been introduced, which leverages Edge Computing with Machine Learning (Edge ML, or Edge Intelligence ). Request a demo here.

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Generative AI: The Idea Behind CHATGPT, Dall-E, Midjourney and More

Unite.AI

That is Generative AI. Microsoft is already discontinuing its Cortana app this month to prioritize newer Generative AI innovations, like Bing Chat. billion R&D budget to generative AI, as indicated by CEO Tim Cook. To understand this, think of a sentence: “Unite AI Publish AI and Robotics news.”