Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
TMCnet

WiMi Releases Next-Generation Hybrid Quantum Neural Network Structure Technology, Breaking Through the Bottleneck of Image Multi-Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...
IEEE

Trends and Challenges in Computing-in-Memory for Neural Network Model: A Review From Device Design to Application-Side Optimization

Abstract: Neural network models have been widely used in various fields as the main way to solve problems in the current artificial intelligence (AI) field. Efficient execution of neural network ...
Scientific Research Publishing

A Brief Discussion on the Theory and Application of Artificial Intelligence in Medical Diagnostics ()

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Databricks raises $4B+ at $134B valuation to build new AI features

The Series L round was jointly led by Insight Partners, Fidelity Management & Research and J.P. Morgan. They were joined by ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
IEEE

Applications of Spiking Neural Networks in Visual Place Recognition

Abstract: In robotics, spiking neural networks (SNNs) are increasingly recognized for their largely unrealized potential energy efficiency and low latency particularly when implemented on neuromorphic ...