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 ...

MicroCloud Hologram Inc. has announced the creation of a noise-resistant Deep Quantum Neural Network (DQNN) architecture, which aims to advance quantum computing and enhance the efficiency of quantum ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

Exactly when the process started no one knows, but fossils from the Cambrian period some 540m years ago show life on Earth going through a remarkable period of diversification. The point at which it ...

The most powerful artificial intelligence tools all have one thing in common. Whether they are writing poetry or predicting ...

NAS methods can generally be classified based on tailored designs from the following aspects: search space, search strategy, and evaluation strategy. In particular, search space can be further ...

One paper presented at IEEE International Conference on Future Machine Learning and Data Science 2025 covers Verseon's superior predictions of drug-target interactions; another covers how the ...

AGI could be on the horizon thanks to a novel computing architecture that completely redefines how artificial neurons form an intelligent system. When you purchase through links on our site, we may ...

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few ...

How do electrical signals become "about" something? Through purely physical processes, neural networks transform activity ...