Electroactive polymers are smart soft materials that may change their structure and size in response to electrical impulses. Learn about their role in soft robotics here.
AZoRobotics speaks with Debasmita Mukherjee about her involvement in research hoping to establish the foundations for perfect human-robot partnerships.
By Megan Craig
8 Apr 2022
Because of the rapid growth of artificial intelligence (AI), a variety of machine learning (ML) approaches may now be applied to elucidate the critical data analysis problem for in situ TEM.
By Usman Ahmed
7 Apr 2022
AZoRobotics speaks with researchers from the Boston of University School of Medicine about an AI algorithm that can rapidly and automatically identify X-Rays that are positive for fractures.
By Bethan Davies
7 Apr 2022
AZoRobotics speaks to researchers from the University of Oslo about creating an artificial intelligence (AI)-based virtual screening algorithm and a cross-species Alzheimer’s disease (AD) drug verification system.
By Bethan Davies
5 Apr 2022
Read more on how the Assuring Autonomy International Programme is boosting confidence in the safety of autonomous systems.
By Megan Craig
4 Apr 2022
A recently developed method for predicting a product’s or service’s environmental impacts by learning from Environmental Product Declarations (EPDs) of construction products has been published.
By Megan Craig
30 Mar 2022
Automation in food analysis is growing for similar reasons, but it will also see growth due to increased food safety regulations and improving technology.
By Ben Pilkington
31 Mar 2022
In this article, we cover the benefits of using robotic technologies in the semiconductor manufacturing sector, as well as the advantages and challenges associated with their use.
Machine Learning approaches will have an ever-increasing influence on how the research and modeling of volcanoes are undertaken, how they are monitored, and how their danger is assessed.