Emerging AI Technologies Inspiring the Next Generation of E-textiles
Frances Cleary, Witawas Srisa-An, David C. Henshall, Sasitharan, Balasubramaniam

TL;DR
This paper explores how emerging AI technologies, particularly neuromorphic computing and neural-inspired architectures, can revolutionize the development and application of intelligent e-textiles, fostering innovation across multiple industries.
Contribution
It provides an overview of current nanotechnology and AI advancements and discusses future directions for integrating neuromorphic AI into the e-textile sector.
Findings
Neuromorphic computing can enhance embedded intelligence in e-textiles.
Neural-inspired architectures offer new design paradigms for smart textiles.
Potential applications span healthcare, automotive, aerospace, and military sectors.
Abstract
The smart textile and wearables sector is looking towards advancing technologies to meet both industry, consumer and new emerging innovative textile application demands, within a fast paced textile industry. In parallel inspiration based on the biological neural workings of the human brain is driving the next generation of artificial intelligence. Artificial intelligence inspired hardware (neuromorphic computing) and software modules mimicking the processing capabilities and properties of neural networks and the human nervous system are taking shape. The textile sector needs to actively look at such emerging and new technologies taking inspiration from their workings and processing methods in order to stimulate new and innovative embedded intelligence advancements in the etextile world. This emerging next generation of Artificial intelligence(AI) is rapidly gaining interest across…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · CCD and CMOS Imaging Sensors
