Paper Info
Title
Filling the Gap between Scientific Research on Artificial Intelligence and Industry 4.0 Need
Abstract
ABSTRACTAI improves the data acquisition and analysis typical of the 4.0 paradigm, leading to the optimization of the industrial processes through fast, lightweight and well-performing algorithms. The academic research efforts on AI have followed a trend of development of complex and resource-intensive algorithms that require cloud-centric architectures while the industrial architectures for data acquisition are in most cases distributed, fragmented and resource-constrained. Recent researches have demonstrated the need of moving toward a decentralized use of AI where data analysis algorithms are executed directly on the machine side ("on the edge"). As this is the future, it becomes evident that a new generation of AI and ML experts, able to adapt these technologies to the industrial needs and to foster their role as the key players of the 4th industrial revolution, is needed. The talk will present the activities of the PLANET4 project that aims at filling the gap between scientific research on AI and its industrial application by designing an innovative blended course.
Year
DOI
Venue
2021
10.1145/3452369.3463817
HPDC
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Daniele Mazzei19915.00