Machine-Vision News

RSS

Robotics & AI Industry Showcase Reveals Full Programme for UK Energy

The UK energy industry will hear from expert speakers using and developing robotics and AI in the most advanced and forward-looking sectors of UK industry at the Robotics & Artificial Intelligence (RAI) Industry Show...

13 May 2021

New Measure to Determine Severity of Knee Osteoarthritis with AI

Knee osteoarthritis (OA) is considered a universal health issue. Nearly half the adults aged more than 75 years have some form of knee OA—one of the major reasons for disability across the world.

12 May 2021

Researchers Develop a Quadruped Robot to Reproduce the Neuromuscular Dynamics of Animals

A group of researchers from Osaka University developed a quadruped robot platform that can reproduce the neuromuscular dynamics of animals, discovering that a steady gait and experimental behaviors of walking cats emerged from the reflex circuit in walking experiments on this robot.

12 May 2021

New AI-Based Methods to Analyze Microscopy Images of Breast Cancer Tissue

The BreastPathQ Challenge was started at SPIE Medical Imaging 2019 to progress the fight against breast cancer and to help develop a computer-aided diagnosis for evaluating breast cancer pathology.

11 May 2021

Artificial Intelligence and Drones will Help Pin Down Sosnovsky’s Hogweed

Skoltech scientists have created a new monitoring system for agricultural applications that performs real-time image segmentation on board the drone to identify hogweed. The research was published in a high-profile journal, IEEE Transactions on Computers.

11 May 2021

AI Technology may Lead to More Improved Microscopes

Researchers have begun to apply a method, known as light-field microscopy, to visualize the rapid neuronal signals in a fish brain. This method makes it viable to image these rapid biological processes in 3D.

10 May 2021

Carle Health to use Rad AI’s Technology for Customized Report Impressions, Consensus Guideline Recommendations

Carle Health, a vertically integrated health system with more than 11,000 employees, announced it is partnering with Rad AI, a company backed by Google's AI fund Gradient Ventures, to use its advanced technology for generating customized radiology report impressions and consensus guideline recommendations.

7 May 2021