Tech Xplore on MSN4mon
Self-compliant memristive device enables multilevel operation and crossbar array for forming neural networks
The innovative memristor device has an aluminum ... strength of synaptic connections between neurons in neuromorphic ...
Hosted on MSN1mon
How a neuromorphic chip could benefit industry
Neuromorphic chips that ... Krüger is working on memristor-based components that will set new standards in energy efficiency and computing power. This real-time and resource-efficient technology ...
Science Daily1mon
Scaling up neuromorphic computing for more efficient and effective AI everywhere and anytime
"This publication shows tremendous potential toward the use of neuromorphic computing at scale for real-life applications. At the San Diego Supercomputer Center, we bring new computing ...
Chinese researchers developed world's first 'dual-loop' non-invasive BCI system, achieving breakthrough in human-machine mutual learning
Chinese researchers from the Tianjin University (TJU) and Tsinghua University have collaborated to develop the world's first ...
Science Daily13d
Shut the nano gate! Electrical control of nanopore diameter
Scientists have developed a versatile platform with an electrically controlled nano-gate that can be used for applications in sensing, chemical synthesis, memristors, and neuromorphic computing. The ...
University of Texas at San Antonio1mon
In Nature article, UTSA researchers chart course for scalable, neuromorphic computing systems
as it is poised to emerge into full-scale commercial use.” Tej Pandit To achieve scale in neuromorphic computing, the team proposes several key features that must be optimized, including sparsity, a ...
EurekAlert!1mon
AI fuels dramatic rise in electricity consumption - Finnish invention could solve the problem
By using memristors ... of a memristor do not always provide additional benefit compared to conventional electronics. They are most useful in neural networks or neuromorphic computing devices ...