IBM Journey to AI blog

OCTOBER 12, 2023

Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention. Due to deep learning and other advancements, the field of AI remains in a constant and fast-paced state of flux.

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Unite.AI

JUNE 30, 2023

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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Viso.ai

OCTOBER 9, 2024

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 Learn Machine Learning

AUGUST 15, 2024

This automation enables the researchers to draw more refined conclusions concerning the users, their demographics as well as the behaviors and preferences in a relatively shorter time. AI Application: Considering the designing stage, AI plays a multifarious role.

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Viso.ai

FEBRUARY 11, 2024

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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Viso.ai

FEBRUARY 11, 2024

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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Pickl AI

JULY 31, 2023

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.

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