Novel Architecture Makes Neural Networks More Understandable. By Steve Nadis. September 11, 2024. By tapping into a decades-old mathematical principle, ... A common objective for neural networks is to ...

“Optimizing Event-Based Neural Networks on Digital Neuromorphic Architecture: A Comprehensive Design Space Exploration.” Frontiers in Neuroscience 18: 1335422. Tags: digit recognition imec keyword ...

In addition to 12 digital cores for spiking neural networks, it also has four analog ones, with silicon circuits making up the spiking neurons and interconnecting synapses of each core.

IRVINE, Calif., April 09, 2024 (GLOBE NEWSWIRE) -- Syntiant Corp., a leader in low power edge AI deployment, today introduced its Syntiant® NDP250 Neural Decision Processor™ (NDP), the company ...

The researchers developed a novel neural network architecture to answer the question. It works by determining the ideal location for sensors and learning which motions are needed for different tasks.

Enables Highly Accurate Inference Performance at Industry Leading Low Power ConsumptionIRVINE, Calif., Sept. 15, 2021 (GLOBE NEWSWIRE) -- Syntiant Corp, a provider of deep learning solutions ...

Artificial neural networks (ANNs) have proven to be extremely useful for solving problems such as classification, regression, function estimation and dimensionality reduction.However, it turns out ...