Viso.ai

OCTOBER 9, 2024

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.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Emotion AI 98

Marktechpost

DECEMBER 1, 2023

FER is pivotal in human-computer interaction, sentiment analysis, affective computing, and virtual reality. Applications include better human-computer interaction and improved emotional response in robots, making FER crucial in human-machine interface technology. The post Can AI Truly Understand Our Emotions?

Convolutional Neural Networks 111

Convolutional Neural Networks Affective Computing Neural Network AI 111

Viso.ai

JANUARY 19, 2024

Leverages computer vision algorithms to analyze hand poses directly from camera images. Deep learning models trained on vast datasets of hand images achieve impressive accuracy but require significant computational resources. Machine Learning Models. Lightweight Deep Learning Models. Sensor Fusion.

Computer Vision 52

Computer Vision Algorithm Deep Learning Machine Learning 52

Bugra Akyildiz

JULY 13, 2024

Use cases span domain-specific challenges introduced in real-world multimedia, affective computing, natural sciences, healthcare, and human-computer interaction applications. The idea of RLHF is to use methods from reinforcement learning to directly optimize a language model with human feedback.

Python 52

Python ChatGPT LLM Affective Computing 52