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Empathetic AI: Transforming Mental Healthcare and Beyond with Emotional Intelligence

Unite.AI

Unlike traditional AI, which focuses on processing data and executing tasks, empathetic AI delves into the nuances of human emotional expression, aiming to discern the underlying feelings and emotional states behind human interactions.

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Josh Feast, CEO and Co-Founder of Cogito – Interview Series

Unite.AI

The Emotion AI technology that is used at Cogito was first validated by assisting healthcare providers to detect early signs of PTSD and other mental health disorders in soldiers returning from combat. In the paper, Cogito introduces a novel de-biasing technique which performs favorably relative to the baseline.

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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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Understanding the different types and kinds of Artificial Intelligence

IBM Journey to AI blog

Theory of Mind AI would also be able to understand and contextualize artwork and essays, which today’s generative AI tools are unable to do. Emotion AI is a theory of mind AI currently in development. To date, Emotion AI is unable to understand and respond to human feelings.

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Blockchain and AI Integration : Can These Technologies Work Together?

Pickl AI

General AI would have the ability to understand, learn, and apply knowledge across various domains, demonstrating true cognitive abilities. AI encompasses various techniques, including machine learning, natural language processing, computer vision, robotics, expert systems, and neural networks.