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) ...

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

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

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, ...

Using machine learning models that are generated from electronic medical records (EMRs) may be a promising approach to predict the risk of adverse maternal outcomes and enable proactive intervention ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...