Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

In a dizzying age of machine learning triumph, where systems can generate human-like prose, diagnose medical conditions, and ...

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

AI software development trends 2026. AI agents become standard in Enterprise systems, natural language becomes default ...

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...

This innovative IoT-ANN framework allows for non-destructive concrete strength assessment, improving accuracy and ...

Olga Megorskaya, founder and CEO of Toloka, has led the company since 2020, steering it from its original crowd-labeling roots into a major player in AI data services. Before founding and leading ...

Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits.

Shadow rollouts and silent upgrades are common in mobile AI deployments. Google's release of Gemini 3 in late 2025 is a clear example of this practice. The company introduced the model to millions of ...

Tencent Cloud Risk Solutions has been recognized as a Leader in The Forrester Wave™: Enterprise Fraud Management Solutions in ...