How the brain learns and applies rules: Sequential neuronal dynamics in the prefrontal cortex

Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...
The Manila Times

MicroCloud Hologram Inc. Releases Next-Generation Quantum Convolutional Neural Network Multi-Class Classification Technology, Driving Quantum Machine Learning Towards ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO' or the 'Company'), a technology service provider, has launched a groundbreaking technological achievement-a multi-class classification method based on ...
Modern Engineering Marvels on MSN

Neural Pathways for Memory and Logic in AI Now Mapped Separately

What if a model could forget without losing its mind?” That question now has a technical foothold, thanks to new research ...

Researchers isolate memorization from problem-solving in AI neural networks

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...
Deep Learning with Yacine 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 ...
IEEE

Skew Logistic Distribution Applied as Activation Function in Artificial Neural Networks

Abstract: In recent years, Artificial Neural Networks (ANNs) have stood out among machine learning algorithms in many applications, such as image and video pattern recognition. Activation functions ...
IEEE

Hybrid Artificial Neural Network Activation Function to Reduce Water Wastage in Agricultural Irrigation

Abstract: Most nations rely heavily on agriculture to provide employment. In recent years, as a result of a growing global population’s increased demand for food and water, numerous nations are ...
Scientific Research Publishing

Lederer, J. (2021) Activation Functions in Artificial Neural Networks: A Systematic Overview.

ABSTRACT: Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, ...