TDK showcased its new Spin-memristor chip at CES in January, along with its potential to change the AI semiconductor game ...

The hunt for a way to meet artificial intelligence’s voracious demand for energy has made its way to Clemson University, where a team has created a new material aimed at ...

CyberSwarm is developing a neuromorphic computing engine that mimics brain function using memristor-based artificial synapses ...

Researchers from Skolkovo Institute of Science and Technology (Skoltech) and the AIRI Institute have reached a milestone in ...

Abstract: The utilization of compute-in-memory (CIM) based on a memristor crossbar has been identified as a promising computational solution for neural networks. However, the IR-drop effect in the ...

Department of Reproductive Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710061, China Frontier Institute of Science and Technology (FIST), Xi’an Jiaotong ...

Abstract: Modeling and stability analysis of memristor-based neural networks (MNNs) are the premise of designs and applications. Different from most previous research, delayed MNNs are described by ...

Chinese scientists have developed a fully integrated memristor chip with improved learning ability and low energy cost, according to a study recently published in the journal Science. With artificial ...

By leveraging Chua’s unfolding theorem, we establish a bi-S-type locally active memristor mathematical model exhibiting negative differential resistance (NDR), which serve as fingerprints for local ...

Department of Electrical Engineering and Convergence Engineering for Intelligent Drone, Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea ...