scholarly journals Current Research and Future Prospects of Neuromorphic Computing in Artificial Intelligence

Author(s):  
R Vishwa ◽  
R Karthikeyan ◽  
R Rohith ◽  
A Sabaresh
2021 ◽  
pp. 100393
Author(s):  
Bai Sun ◽  
Tao Guo ◽  
Guangdong Zhou ◽  
Shubham Ranjan ◽  
Yixuan Jiao ◽  
...  

Author(s):  
Priyanka Dwivedi ◽  
Achintya Kumar Sarkar ◽  
Chinmay Chakraborty ◽  
Monoj Singha ◽  
Vineet Rojwal

Author(s):  
Satvik Tripathi

Artificial intelligence refers to the replication of human intelligence in machines that are encoded to think like humans and imitate their actions. The word may also be applied to any machine that displays qualities related to a human mind for example understanding, learning, and problem-solving. As technology advances, previous benchmarks that defined artificial intelligence become out-dated. Artificial intelligence has made its way to almost every sector and has resulted in better efficiency of the traditional processes. In this chapter, the author discusses the current applications, future prospects, and possible threats of artificial intelligence.


Kybernetes ◽  
1980 ◽  
Vol 9 (4) ◽  
pp. 295-299 ◽  
Author(s):  
A.M. ANDREW

The meaning and connotations of cybernetics are reviewed with the conclusion that complex adaptive systems are the central theme. Formal and informal approaches are contrasted and shown to be compatible. The most spectacular achievements of cybernetics are in the area of artificial intelligence, but current work under that heading is subject to a fundamental limitation. Simulation of non‐verbal thought processes can only be achieved by studying the transition from non‐succinct to succinct information representation in cybernetic systems. Attention must be given to the evolution and operation of the meta‐goal of succinct representation of information.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Robert Bogue

Purpose This paper aims to provide details of recent commercial and technological developments that are driving robotic warehouse automation. Design/methodology/approach Following a short introduction, this first provides a commercial background and identifies the factors driving the market growth. It then gives examples of robotics companies, products and applications that exploit innovations in artificial intelligence (AI). It then considers future prospects, and finally, brief conclusions are drawn. Findings Amazon’s acquisition of Kiva led to a community of new robot manufacturers and the realisation by major e-commerce companies that robotic automation would be required to maintain competitiveness. The Covid pandemic caused a surge in e-commerce and a critical shortage of labour, which further highlighted the need for automation and boosted robotic deployments. Recent advances in AI have resulted in a rapidly growing community of companies producing AI-powered robots which offer advanced capabilities such as mixed product picking, sorting and kitting. These are being deployed by a growing number of e-commerce and logistics companies and are paving the way towards ever-higher levels of warehouse automation. Full automation will soon become a reality. Originality/value This paper identifies the factors driving the rapidly developing warehouse robot business by considering the companies, products, technology and applications.


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