NVIDIA

MARCH 31, 2025

Advances in physical AI are enabling organizations to embrace embodied AI across their operations, bringing unprecedented intelligence, automation and productivity to the worlds factories, warehouses and industrial facilities. In these ways, physical AI is becoming integral to todays industrial operations.

Robotics 82

Robotics Visual AI Automation Deep Learning 82

NVIDIA

JULY 29, 2024

NVIDIA announced at SIGGRAPH generative physical AI advancements including the NVIDIA Metropolis reference workflow for building interactive visual AI agents and new NVIDIA NIM microservices that will help developers train physical machines and improve how they handle complex tasks.

Generative AI 139

Generative AI Visual AI Robotics Computer Vision 139

Flipboard

AUGUST 11, 2023

Aigen, which recently unveiled a new self-driving robot, is led by co-founders, Rich Wurden, left, and Kenny Lee. Aigen Photo) Engineers are bringing their talents in artificial intelligence and machine learning to the farm. Aigen is similar to Carbon Robotics, a Seattle startup that also sells weed-zapping robots.

Robotics 123

Robotics Machine Learning Computer Vision Large Language Models 123

Viso.ai

DECEMBER 16, 2024

If you are looking for a full technology overview, check out our AI technology guide about Visual AI in Retail. It uses computer vision and deep learning technologies to automatically detect the prices and calculate the bill of products a shopper picks. Get it here Built with Viso Suite 2.

Computer Vision 59

Computer Vision Deep Learning Algorithm Automation 59

Heartbeat

MAY 22, 2023

It gives the computer the ability to observe and learn from visual data just like humans. and applies this learning tosolving problems. Customer behavior analysis : Learn from the customer’s emotions and expressions while looking at products/services. We pay our contributors, and we don’t sell ads.

Computer Vision 52

Computer Vision Convolutional Neural Networks Emotion AI Deep Learning 52

Viso.ai

MAY 20, 2023

Applications that use real-time object detection models include video analytics , robotics, autonomous vehicles, multi- object tracking and object counting, medical image analysis, and so on. As a result, YOLOv7 requires several times cheaper computing hardware than other deep learning models.

Algorithm 52

Algorithm Computer Vision Deep Learning Neural Network 52

Viso.ai

NOVEMBER 11, 2024

Autonomous underwater vehicles (AUVs) are unmanned underwater robots controlled by an operator or pre-programmed to explore different waters autonomously. These robots are usually equipped with cameras, sonars, and depth sensors, allowing them to autonomously navigate and collect valuable data in challenging underwater environments.

Computer Vision 52

Computer Vision Neural Network Algorithm AI 52