We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

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

The deep learning market in drug discovery and diagnostics offers promising opportunities, driven by rising technology adoption, significant investments, and innovative solutions in healthcare. Key ...

A research team has now developed an intelligent, non-destructive method that integrates hyperspectral imaging (HSI) with a ...

AI transforms cybersecurity. Our AI-driven systems anticipate threats, adapt to your environment, and safeguard your data with privacy at its core, before breaches occur. Innovation in machine ...

WiMi Hologram Cloud is studying a hybrid quantum-classical learning architecture for advanced multi-class image classification applications in artificial intelligence research worldwide.

The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

Tested across eight lettuce types, the system successfully visualizes pigment spatial distribution from individual leaves to full canopies, offering a ...

A front load washing machine supports modern laundry needs with smooth operation and steady cleaning performance. Read on.