The autoencoder has the same number of inputs and outputs (9) as the demo program, but for simplicity the illustrated autoencoder has architecture 9-2-9 (just 2 hidden nodes) instead of the 9-6-9 ...

They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles. MicroAlgo Inc. ...

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 ...

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 ...