Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

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

In this video, we will look at the details of the RNN Model. We will see the mathematical equations for the RNN model, and ...

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

Imagine a camera that keeps a laser pencil sharp down to a hair’s width—257 nm! New AI trick watches the tiny bright dot and nudges the stage so ...

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...

We've all been there, protecting our ears—the school play in the gym or community hall, where sound is distorted due to ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

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 ...