This technique enhances AI processing by drastically reducing power consumption while maintaining high performance, paving the way for the future of next-generation computing. Artificial intelligence (AI) and machine learning (ML) tools have revolutionised data analysis and prediction tasks but often face challenges due to their high computational and energy demands. Traditional silicon-based processors struggle to […]
View more at https://www.electronicsforu.com/news/worlds-first-carbon-nanotubes-based-tensor-processor-chip.
Credit- EFY. Distributed by Department of EEE, ADBU: https://tinyurl.com/eee-adbu
Curated by Jesif Ahmed
