Remove AI Modeling Remove Emotion AI Remove NLP
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Josh Feast, CEO and Co-Founder of Cogito – Interview Series

Unite.AI

Cogito received funding from the Defense Advanced Research Projects Agency (DARPA) to research and develop an artificial intelligence platform and behavioral models to automatically detect human psychological states. We are consistently working on and evolving our NLPs with new data to mitigate bias.

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AI Emotion Recognition and Sentiment Analysis (2025)

Viso.ai

Enterprise computer vision pipeline with Viso Suite We provide an overview of Emotion AI technology, trends, examples, and applications: What is Emotion AI? How does visual AI Emotion Recognition work? Facial Emotion Recognition Datasets What Emotions Can AI Detect? What is Emotion AI?

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How to Detect AI-Generated Content

Viso.ai

There are essentially two main methods of AI generation: Generative Adversarial Networks (GANs): GANs use a generator (learn to produce examples) and discriminator (distinguish between classes) architecture to create realistic images, music, and other things. A few examples of GANs are CycleGAN, StyleGAN2, and GauGAN.

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How to Identify AI-Generated Content

Viso.ai

Large Language Models (LLMs): These models are the breakthrough in the space of natural language processing (NLP), empowering machines to understand and generate human-like language. Sometimes AI-generated voices can sound overly melodic lacking the variations and nuances found in speech.

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AI For The Blind: A Guide to Building Assistive Solutions

Viso.ai

However, image captioning models face some limitations regarding real-time performance, accuracy, generalization, and data requirements. Emotion Recognition: Those AI models can analyze a person’s emotions through images, written text, or voice. Evaluation is just as important as model training.

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Artificial Intelligence UI/UX design: How AI Is Transforming User Experience

How to Learn Machine Learning

Most of the ethical issues can be tackled by proper handling of data through the creation of good governance structures, promotion of transparency and actively trying to avoid biases in the AI models. Considering all the applications AI has to offer to UX designing, emotion recognition is said to be the most opportune.

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Blockchain and AI Integration : Can These Technologies Work Together?

Pickl AI

Machine Learning AI systems often employ machine learning algorithms to learn from data and improve their performance over time. Natural Language Processing (NLP) NLP enables AI systems to understand, interpret, and generate human language.