SOURCE-LINKED INTELLIGENCE

NEUROMOPHIC SYSTEMS BASED ON MEMRISTOR AND FERROELECTRIC DEVICES FOR COMPUTING APPLICATIONS

CORDIS · observation · Publication date unknown

ating a layered interconnection system of artificial neurons that collaborate to process input data and generate output. ANNs differ from other AI models in having the ability to learn automatically (machine learning). This technology has enormous current impact and potential for future applications, just to mention a few ones: autonomous vehicles, renewable energy, economy and financial predictions, computer visions, and disruptive medicine and health care services. In the last decade, ANNs have become a very popular topic, but the technology itself has been around for many decades with several problems yet to be solved. For example, current computer systems are highly inadequate in terms of data processing, storage and transmission. Aspects related to energy consumption are also an unsolved problem, where the rational use of energy and natural resources is a fundamental objective of global sustainability. NEMERFEC aims to realize novel ANNs through the development of hardware based on memristive and ferroelectric material systems. Such thin films of binary and complex oxides are to

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recordType

award

status

SIGNED

region

EU

value

206641.2

unit

EUR