Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Abstract: The rapid adoption of machine learning (ML) across several businesses raises serious concerns about data privacy, particularly when sensitive data is involved. By integrating trustworthy ...

OpenAI's projected $20B 2025 revenue sits far below obligations, guiding investors and builders toward safer, cash-flow-first ...

TRAIGA’s structure leaves a gap between public enforcement and private risk allocation. ADR can fill that gap by providing a ...

We compare Raspberry Pi 5 and Orange Pi 6 in 2026 — specs, performance, AI power, and value. Find out which SBC is best for ...

In today’s fast-paced digital world, audiences consume more video content than ever before. From YouTube creators to marketing teams, everyone is looking for faster and smarter ways to produce ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...