Frontiers

Artificial intelligence and deep learning for neural data analysis

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...
IEEE

A Multimodal Deep Learning Model Integrating CNN and Transformer for Predicting Chemotherapy-Induced Cardiotoxicity

Abstract: Chemotherapy-induced cardiotoxicity presents a major risk to cancer patients, often leading to severe cardiac complications such as heart failure, myocardial infarction, and arrhythmias.

The 15 Best Websites You Should Read To Learn About Developments In AI

We’ve curated a list of 15 websites that will give you a 360-degree view on AI, from AI technology, business strategy, and ...
GitHub

Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction

This demo shows how to use transformer networks to model the daily prices of stocks in MATLAB®. We will predict the price trends of three individual stocks and use the predicted time series values to ...
Scientific Research Publishing

Zhang, Y., Zhou, Y. and Chen, L. (2023) Time-Series Forecasting with Transformer-Based Deep Learning Models: A Survey of Methods and Applications.

ABSTRACT: Stock markets are notoriously complex and volatile, which makes accurate price prediction a necessity for investor decision-making, risk mitigation, and profitability. This study develops ...
Psychology Today

Why AI Cheats: The Deep Psychology Behind Deep Learning

A few months ago, I asked ChatGPT to recommend books by and about Hermann Joseph Muller, the Nobel Prize-winning geneticist who showed how X-rays can cause mutations. It dutifully gave me three titles ...
Hosted on MSN

DenseNet Architecture Explained | Deep Learning Tutorial for Beginners

Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter efficiency ...
IEEE

Transformer-Based Deep Learning Approaches for Speech-Based Dementia Detection: A Systematic Review

Abstract: As the population of older adults continues growing, so will the need for cost-effective approaches to early dementia detection. Deep learning approaches using patient speech samples show ...
ascopubs.org

Transformer-based deep learning model for integrated pathomics and radiomics in predicting postoperative survival of intrahepatic cholangiocarcinoma patients.

Hepatocellular carcinoma patients with portal vein thrombosis treated with robotic radiosurgery for long term outcome and analysis: CTRT:2022/01/050234. This is an ASCO Meeting Abstract from the 2025 ...
Hosted on MSN

Transformers In Deep Learning — A Beginner’S Guide That Actually Makes Sense

Struggling to grasp transformers? This intro walks you through the core ideas without overwhelming complexity.#Transformers #DeepLearningBasics #AI Liberalism’s enemies are having second thoughts Dumb ...