Artificial Sensory Memory.
Sensory memory, formed at the beginning while perceiving and interacting with the environment, is considered a primary source of intelligence. Transferring such biological concepts into electronic implementation aims at achieving perceptual intelligence, which would profoundly advance a broad spectrum of applications, such as prosthetics, robotics, and cyborg systems. Here, the recent developments in the design and fabrication of artificial sensory memory devices are summarized and their applications in recognition, manipulation, and learning are highlighted. The emergence of such devices benefits from recent progress in both bioinspired sensing and neuromorphic engineering technologies and derives from abundant inspiration and benchmarks from an improved understanding of biological sensory processing. Increasing attention to this area would offer unprecedented opportunities toward new hardware architecture of artificial intelligence, which could extend the capabilities of digital systems with emotional/psychological attributes. Pending challenges are also addressed to aspects such as integration level, energy efficiency, and functionality, which would undoubtedly shed light on the future development of translational implementations.
['Wan|Changjin|C|', 'Cai|Pingqiang|P|', 'Wang|Ming|M|', 'Qian|Yan|Y|', 'Huang|Wei|W|', 'Chen|Xiaodong|X|https://orcid.org/0000-0002-3312-1664']
D001185:Artificial Intelligence D001187:Artificial Organs D008568:Memory D009474:Neurons D012371:Robotics D012666:Semiconductors D013569:Synapses
memory neuromorphic engineering artificial neurons bioinspired sensors