Structural findings reveal how distinct GPCR ligands create different levels of activation

G-protein coupled receptors (GPCRs) are proteins triggered by ligands (protein-binding chemicals) from outside cells to ...

YogMantra | Alcohol-Related Foot Drop: How An Integrative Yoga-Based Approach Supported Recovery

At a Bengaluru-based therapy centre, a middle-aged man with alcohol dependence showed marked improvement in foot drop & liver ...
IEEE

Fine-Tuning Pretrained CNN Models for Knee Osteoarthritis Diagnosis: Impact of Layer Freezing and Activation Function Selection

Abstract: Knee osteoarthritis, often known as KOA, is a degenerative joint condition that lasts for a long time and affects millions of people around the world and has a big effect on their mental and ...
Hosted on MSN

What Are Activation Functions in Deep Learning? Explained Clearly

Understand what activation functions are and why they’re essential in deep learning! This beginner-friendly explanation covers popular functions like ReLU, Sigmoid, and Tanh—showing how they help ...
CNN

Bessent calls $20 billion lifeline to Argentina a ‘mission-critical’ function of Treasury during shutdown

Finalizing a $20 billion lifeline for Argentina using taxpayers’ funds during the government shutdown was an essential action for the agency, Treasury Secretary Scott Bessent said Tuesday. His remarks ...
Hosted on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python What the US ...
IEEE

Exploiting Output Activation Sparsity Using Bit-Separable Multiplier in CNN Accelerator

Abstract: This paper demonstrates a bit-separable multiplier (BSM) in CNN accelerators to leverage output activation sparsity. BSM improves computational efficiency by predicting the output of ...
IEEE

The Impact Analysis of Different Activation Functions on CNN-based Reduced OPF

Abstract: The Optimal Power Flow (OPF) obtains economic generation dispatch considering transmission line constraints. The solution of OPF for a large power system is computationally complex due to ...