A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, ...

Abstract: Neuromorphic architectures have been introduced as platforms for energy-efficient spiking neural network execution. The massive parallelism offered by these architectures has also triggered ...

Neuromorphic computing holds the promise of sustainable AI by combining brain-inspired models with event-driven, massively parallel hardware. However, a central question remains: when and how do ...

An MIT doctoral candidate is working on technology that copies how the human brain operates to make artificial intelligence less power-hungry, MIT News reported. Miranda Schwacke studies neuromorphic ...

Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore 138634, Singapore ...

As a result, the on-chip learning-based neuromorphic system achieved up to 20,000 times faster processing speed while maintaining similar interpretation accuracy to existing conventional techniques.

Dr. Ignacio Sanjuán (left in the image) has been awarded a European Horizon TMA MSCA postdoctoral fellowship under the supervision of Antonio Guerrero (right) from the Active Materials and Systems ...

Neuromorphic computing, or hardware modeled on the brain’s neurons and spikes, is rapidly moving from research labs into real-world engineering. In this edge-computing era, companies and researchers ...