#Neuromorphic Computing
Latest news articles tagged with "Neuromorphic Computing". Follow the timeline of events, related topics, and entities.
Articles (8)
-
🇺🇸 A Synthesizable RTL Implementation of Predictive Coding Networks
[USA]
arXiv:2603.18066v1 Announce Type: cross Abstract: Backpropagation has enabled modern deep learning but is difficult to realize as an online, fully distributed hardware learning system due to global e...
Related: #Hardware Implementation -
🇺🇸 NeuronSpark: A Spiking Neural Network Language Model with Selective State Space Dynamics
[USA]
arXiv:2603.16148v1 Announce Type: new Abstract: We ask whether a pure spiking backbone can learn large-scale language modeling from random initialization, without Transformer distillation. We introdu...
Related: #AI Language Models -
🇺🇸 SRAM-Based Compute-in-Memory Accelerator for Linear-decay Spiking Neural Networks
[USA]
arXiv:2603.12739v1 Announce Type: cross Abstract: Spiking Neural Networks (SNNs) have emerged as a biologically inspired alternative to conventional deep networks, offering event-driven and energy-ef...
Related: #Hardware Acceleration -
🇺🇸 Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks
[USA]
arXiv:2603.11676v1 Announce Type: cross Abstract: Although the temporal spike dynamics of spiking neural networks (SNNs) enable low-power temporal pattern capture capabilities, they also incur inhere...
Related: #Neural Network Optimization -
🇺🇸 Intrinsic Numerical Robustness and Fault Tolerance in a Neuromorphic Algorithm for Scientific Computing
[USA]
arXiv:2603.10246v1 Announce Type: cross Abstract: The potential for neuromorphic computing to provide intrinsic fault tolerance has long been speculated, but the brain's robustness in neuromorphic ap...
Related: #Scientific Computing -
🇺🇸 Estimation of Energy-dissipation Lower-bounds for Neuromorphic Learning-in-memory
[USA]
arXiv:2402.14878v4 Announce Type: replace-cross Abstract: Neuromorphic or neurally-inspired optimizers rely on local but parallel parameter updates to solve problems that range from quadratic program...
Related: #Energy Efficiency -
🇺🇸 Stochastic Spiking Neuron Based SNN Can be Inherently Bayesian
[USA]
arXiv:2602.07037v1 Announce Type: cross Abstract: Uncertainty in biological neural systems appears to be computationally beneficial rather than detrimental. However, in neuromorphic computing systems...
Related: #Artificial Intelligence, #Hardware Engineering -
🇺🇸 BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron
[USA]
arXiv:2602.07200v1 Announce Type: cross Abstract: Spiking Neural Networks (SNNs) are energy-efficient counterparts of Deep Neural Networks (DNNs) with high biological plausibility, as information is ...
Related: #Cybersecurity, #Artificial Intelligence
Key Entities (8)
- Accelerator (1 news)
- SRAM (1 news)
- Energy efficiency (1 news)
- RTL (1 news)
- Application-specific integrated circuit (1 news)
- Field-programmable gate array (1 news)
- Computational science (1 news)
- Fault tolerance (1 news)
About the topic: Neuromorphic Computing
The topic "Neuromorphic Computing" aggregates 8+ news articles from various countries.