tag: neuromorphic computing

Research Bits: Apr. 21
By Jesse Allen - 21 Apr, 2026 - Comments: 0

Compute-in-memory state space models Researchers from the University of Michigan mapped complex state space models directly onto a compute-in-memory architecture in an example of hardware-software co-design for edge AI. "Compute-in-memory systems offer very high energy efficiency and throughput, but they are rigid and not optimal for convolution and transformer networks. In this study, we s... » read more

Research Bits: Apr. 6
By Jesse Allen - 06 Apr, 2026 - Comments: 0

Reservoir computing Researchers from Loughborough University designed a memristor reservoir computing chip that can process data that changes over time directly in hardware. “Inspired by the way the human brain forms very numerous and seemingly random neuronal connections between all its neurons, we created complex, random, physical connections in an artificial neural network by designing... » read more

Neuromorphic Computing Platform In Perovskite Nickelates (UCSD, Rutgers)
By Technical Paper Link - 11 Mar, 2026 - Comments: 0

A new technical paper, "Protonic nickelate device networks for spatiotemporal neuromorphic computing," was published by researcher at UCSD and Rutgers University. Abstract "Computation in biological neural circuits arises from the interplay of nonlinear temporal responses and spatially distributed dynamic network interactions. Replicating this richness in hardware has remained challenging... » read more

Scaling Ultra-Low-Power Edge Intelligence For Smart Devices
By Tanushri Shah - 05 Feb, 2026 - Comments: 0

For decades, the data collection pipeline for sensors has been the exact same—measure, transmit, and process elsewhere. While it’s been a failproof method all these years, it’s also resulted in a large amount of energy consumption, meaning your smart watch could have a longer battery life. Neuronova is aiming to change things up. The company’s goal? Empowering the next generation of ... » read more

Hypergraph-based Techniques To Map Spiking Neural Networks on Neuromorphic HW (Politecnico di Milano)
By Technical Paper Link - 25 Jan, 2026 - Comments: 0

A new technical paper titled "A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware" was published by researchers at Politecnico di Milano. Abstract "Executing Spiking Neural Networks (SNNs) on neuromorphic hardware poses the problem of mapping neurons to cores. SNNs operate by propagating spikes between neurons that form a graph through synapses. Neuromorphic hardware mimic... » read more

Sparse Finite Element Problems on Neuromorphic HW (Sandia National Lab)
By Technical Paper Link - 07 Jan, 2026 - Comments: 0

A new technical paper titled "Solving sparse finite element problems on neuromorphic hardware" was published by researchers at Sandia National Lab. Abstract "The finite element method (FEM) is one of the most important and ubiquitous numerical methods for solving partial differential equations (PDEs) on computers for scientific and engineering discovery. Applying the FEM to larger and mor... » read more

Exploiting Domain Wall Conduction in Nitride Ferroelectrics As A New Type of Memristive FeRAM (Kiel Univ., Fraunhofer, NaMLab, TU Dresden)
By Technical Paper Link - 02 Jan, 2026 - Comments: 0

A new technical paper titled "Nitride Ferroelectric Domain Wall Memory for Next-Generation Computing" was published by researchers at Kiel University, Fraunhofer Institute for Silicon Technology (ISIT), NaMLab, and TU Dresden. Abstract "The emerging nitride ferroelectrics, such as Al1-xScxN promise to significantly advance our current information technology. In particular, two-terminal mem... » read more

MoS2 Memristors With Fast Switching Speed and Low Power Consumption (AMO, RWTH Aachen et al.)
By Technical Paper Link - 31 Dec, 2025 - Comments: 0

A new technical paper titled "Intermediate Resistive State in Wafer-Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications" was published by researchers at AMO GmbH, RWTH Aachen, Forschungszentrum Jülich, Peter Grünberg Institute, Eindhoven University of Technology et al. Abstract "Memristors based on 2D materials have garnered signifi... » read more

A Scalable and Cost-Effective Approach to Fabricate Memristors for ReRAMs and Neuromorphic Computing (U. of Pisa, U. of Pavia et al.)
By Technical Paper Link - 17 Dec, 2025 - Comments: 0

A new technical paper titled "Fast prototyping of memristors for ReRAMs and neuromorphic computing" was published by researchers at Università di Pisa, Università di Pavia, Quantavis s.r.l., and the Instituto de Ciencia de Materiales de Madrid. Abstract "The growing demand for energy-efficient computing in artificial intelligence requires novel memory technologies capable of storing and... » read more

Emerging Synaptic Memory Technologies For Neuromorphic CIM Platforms (Tampere Univ.)
By Technical Paper Link - 21 Nov, 2025 - Comments: 0

A new technical paper titled "Toward Capacitive In-Memory-Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware" was published by researchers at Tampere University. Abstract: "The quest for energy-efficient, scalable neuromorphic computing has elevated compute-in-memory (CIM) architectures to the forefront of hardware innovation. While memristive... » read more

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