Nanoparticle neural network (NNN) for a functionally complete 3-input system. The system can be represented with a multi-layer perceptron diagram with three layers (input, hidden and output layers ...

A new technical paper titled “Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration” was published by imec, TU Delft and University of ...

Neural Architecture Search (NAS) is an emerging area focused on automating the design of neural network architectures. The overarching goal of NAS research is to discover optimal network ...

The amazing feats that neural networks perform, like those of a magician, are kept secret, hidden behind what’s commonly called a black box. AI researchers have long wondered if it’s possible for a ...

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 ...

In a paper published in National Science Review, a Chinese team of scientists systematically summarize the key technical advancements in Neural Architecture Search (NAS), delving into the core ...

SHENZHEN, China, June 10, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a noise ...

A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time without ...

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 ...