Graphene-based memristors move a step closer to benefiting next-generation computing

Graphene-based memristors move a step closer to benefiting next-generation computing

Researchers from Queen Mary University of London and Paragraf Limited have demonstrated a significant step forward in the development of graphene-based memristors and unlocking their potential for use in future computing systems and artificial intelligence (AI). Researchers from Queen Mary University of London and Paragraf Limited have demonstrated a significant step forward in the development of graphene-based memristors and unlocking their potential for use in future computing systems and artificial intelligence (AI). Nanophysics Nanomaterials Phys.org – latest science and technology news stories

Leave a Reply

Your email address will not be published. Required fields are marked *