Science Alert August 12, 2022
The speed of biological information processing in neurons and synapses is limited by the aqueous medium through which weak action potentials of about 100 millivolts propagate over milliseconds. Researchers at MIT generated silicon-compatible nanoscale protonic programmable resistors with highly desirable characteristics under extreme electric fields. This enabled controlled shuttling and intercalation of protons in nanoseconds at room temperature in an energy-efficient manner. The devices showed symmetric, linear, and reversible modulation characteristics with many conductance states covering a 20× dynamic range. According to the researchers the space-time-energy performance of the all–solid-state artificial synapses can greatly exceed that of their biological counterparts…read more. TECHNICAL ARTICLE
Illustration showing an analog deep learning processor. Credit: SCIENCE, 28 Jul 2022, Vol 377, Issue 6605, pp. 539-543.Â