Learn With Jay on MSN

Max pooling in CNNs | Why it matters?

In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in ...
Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Shanghai Metals Market

SiEngine brings 7nm ADAS chips into mass production, accelerates OEM partnerships

SiEngine announced that its 7-nanometer advanced driver-assistance chips, AD1000 and AD800, had officially entered mass production.

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 ...
The Malaysian Reserve

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 ...
IEEE

AI-Based Forecasting in Renewable-Rich Microgrids: Challenges and Comparative Insights

Abstract: Amid the accelerating global transition to renewable energy, accurate forecasting has become the cornerstone for unlocking the full potential of solar and wind power in modern power grids, ...
Edhat

AI Helps Explain How Covert Attention Works And Uncovers New Neuron Types

Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — ...

Designing Reactive AI With Spiking Neural Nets

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.
IEEE

Efficient Group Cosine Convolutional Neural Network for EEG-Based Seizure Identification

Abstract: Epilepsy is a common neurological disease, and its diagnosis usually depends on labor-intensive visual inspection of electroencephalogram (EEG). Although various deep learning-based seizure ...