Análisis de la cuota de mercado de Medical Device Developments para mayo 2026

Small and powerful as they may be, smartphones can’t be implanted in patient’s bodies and, though it’s a little less impossible, strapping them to every surface in a manufacturing plant still isn’t cost-efficient. To leverage machine learning and AI more widely, the hardware that supports it needs to shrink. Andrew Tunnicliffe speaks to Wolfgang Emmerich, CEO at Zühlke UK; Radu Sporea, senior lecturer in semiconductor devices at the University of Surrey; and Song Han, assistant professor in electrical engineering and computer science at the Massachusetts Institute of Technology, about cramming learning capabilities on to single transistors and microcontrollers.