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Showing posts with label computer vision. Show all posts
Showing posts with label computer vision. Show all posts

Tuesday, February 21, 2023

Recent Advances in Educational Robotics by S.A. Chatzichristofis [Scholarly Article - Electronics, February 2023]

Title:
Recent Advances in Educational Robotics
 
Author:
Savvas A. Chatzichristofis 
Intelligent Systems Laboratory, Department of Computer Science, Neapolis University Pafos, Pafos 8042, Cyprus

Published:
Electronics, Volume 12, Issue 4, 12 February 2023

Abstract:
The widespread use of artificial intelligence and robotics contributes, among other things, to create a new scientific field that aims to modernize and disrupt education. The term ’educational robotics’ is being introduced as a learning tool and definitively transforming young people’s education. At the same time, however, it is helping to create a fast-growing new industry that produces educational robots and tools. Companies with a long tradition, either in the creation of robotic equipment or in the production and distribution of toys, are setting up appropriate divisions and supplying the market with electronic devices for educational robotics. This new market is overgrowing and is rapidly becoming an investment attraction. According to MarketsandMarkets research, the educational robotics market is projected to grow from USD 1.3 billion in 2021 to USD 2.6 billion by 2026. Notably, the educational robotics market is expected to grow at a Compound Annual Growth Rate (CAGR) of 16.1% from 2021 to 2026. At the same time, however, the field is attracting many startups securing independent funding for equipment design and implementation and independent efforts competing for funding from crowdfunding platforms. More than 2000 ideas have recently secured funding to build and distribute educational robotics tools through Kickstarter-type platforms. However, what is educational robotics, and how is it expected to transform how the next generation is educated?

Friday, May 29, 2020

Cranfield University (Medical Xpress, 27 May 2020) - Using artificial intelligence to detect COVID-19 in X-rays

Title:
Using artificial intelligence to detect COVID-19 in X-rays

By:
Cranfield University

Published:
Medical Xpress, 27 May 2020
https://medicalxpress.com/news/2020-05-artificial-intelligence-covid-x-rays.html

From the article:
"Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.

The models use computer vision and artificial intelligence (AI) to analyse chest X-ray imagery. It can classify information which would not normally be recognised with the naked eye and assist with the diagnosis of COVID-19."

Sunday, February 9, 2020

Rutgers University: New robot does superior job sampling blood

Title:
New robot does superior job sampling blood

Author:
Rutgers University

Published:
Tech Xplore, 7 February 2020

From the article:
"In the future, robots could take blood samples, benefiting patients and healthcare workers alike.  

A Rutgers-led team has created a blood-sampling robot that performed as well or better than people, according to the first human clinical trial of an automated blood drawing and testing device."

To read this article:
https://techxplore.com/news/2020-02-robot-superior-job-sampling-blood.html