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
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.
Artificial general intelligence aims to meet human capabilities. This article will focus on artificial general intelligence, its significance, progress, and applications.
By Muhammad Adeel Ahsan
21 Mar 2022
FastSLAM2.0 algorithm is used to decrease the sample space to solve the problem of low efficiency of mine rescue robot positioning and mapping.
By Megan Craig
18 Mar 2022
Researchers give an overview of the proposed method, the used hardware, and the designed software to implement collaborative robots into smart manufacturing systems.
By Megan Craig
21 Jan 2022
In this article, we provide an overview of how smart robots are changing the face of traditional manufacturing sectors as we transition through Industry 4.0.
By Reginald Davey
14 Mar 2022
In this article, the use of artificial intelligence (AI) in AFM and its combined benefits has been described.