This review describes various types of low-power memristors, demonstrating their potential for a wide range of applications. This review summarizes low-power memristors for multi-level storage, ...

For how powerful today’s “smart” devices are, they’re not that good at working smarter rather than working harder. With AI constantly connected to the cloud and the chip constantly processing tasks ...

An international team comprised of 23 researchers has published a review article on the future of neuromorphic computing that examines the state of neuromorphic technology and presents a strategy for ...

A brain-inspired hardware platform could lead to the development of compact, low-power AI hardware. By mimicking how the brain processes information, the platform improved the speed, accuracy and ...

Neuromorphic computing, inspired by the neural architectures and functions of biological brains, is revolutionizing the development of highly efficient, adaptive computing systems. In robotics, this ...

Intel Corp. has achieved another key milestone on the road to developing neuromorphic processors modeled on the human brain that are designed to provide a more energy-efficient alternative to existing ...

Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. (Los ...

Large scale datasets and information processing requirements, within complex environments, are continuously reaching unprecedented levels of sophistication, especially in the advent of artificial ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now While much of the tech world remains ...

A human’s way of processing information can be used as a model to train next-generation artificial intelligence (AI) systems, according to research published Jan. 22 in Nature. Cory Merkel, an ...