A major challenge when working with a neural network is training the network in such a way that the resulting model doesn't over-fit the training data -- that is, generate weights and bias values that ...

Today MemComputing released a whitepaper highlighting the advantages of the company’s new training approach compared to traditional deep learning methods. The paper addresses the inherent limitations ...

Amazon Web Services Inc. today previewed an upcoming cloud compute instance series that will enable companies to train artificial intelligence models in its cloud with up to 40% better ...

SHENZHEN, China, June 6, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), explored the possibilities of quantum technology in various application scenarios, ...

Often, when we think of getting a computer to complete a task, we contemplate creating complex algorithms that take in the relevant inputs and produce the desired behaviour. For some tasks, like ...

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end ...