Deep Sequential Models for Cross-Sectional Stock Selection A course-project-ready deep learning alpha research pipeline for cross-sectional stock selection on S&P 500 daily OHLCV data. The goal is not ...

Abstract: Learning-based software vulnerability detection has progressed rapidly; however, most empirical studies focus on C/C++ and Java and emphasize detection accuracy alone. Python, despite its ...

A stealthy Python-based backdoor framework capable of long-term surveillance and credential theft has been identified targeting Windows systems. According to research from Securonix, the malware, ...

Sophisticated Python backdoor DEEP#DOOR steals cloud credentials via tunneling. The attack chain begins with a batch script that disables Windows security controls and dynamically extracts an embedded ...

Mistral AI launches Workflows, a Temporal-powered orchestration platform for enterprise AI that automates mission-critical processes across logistics, finance, and customer support with millions of ...

GE HealthCare said it has received FDA Premarket Authorization for Pristina Recon DL, a deep-learning–powered 3D mammography reconstruction technology the company says improves image sharpness and ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Introduction: Coronary artery calcium (CAC) is strongly predictive of adverse cardiovascular events, and is widely utilized for risk stratification. There is considerable interest in automated machine ...

Abstract: The next word prediction can increase the typing speed and be useful for people with spelling disorders or disabilities. This research is conducted using deep learning approaches and the ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...