Feature: AI sector report
Artificial intelligence (AI) is becoming increasingly versatile. Last year was typified by progress towards a landscape in which enterprises can automate a wider variety of functions more easily, with the potential to lower costs.
The robotics sector is a good example of where versatile AI could pay dividends. In December 2020, a research paper in the academic journal Science Robotics demonstrated how a four-legged robot was able to exploit multiple precursor AI systems to effectively improvise, adapting to changes in its workload on the fly.
The approach, dubbed multi-expert learning architecture, is the result of collaborative research between University of Edinburgh in the UK’s School of Informatics and Zhejiang University in China’s Institute of Cyber-Systems and Control.
Robots using multi-expert learning would be trained over multiple stages. First, a computer simulation shows two distinct neural networks how to perform the robot’s basic mobility functions: how to move across the ground,and…
