Analisi del Market Share dell'azienda Medical Device Developments per il mese di maggio 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.