Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

Learn how AI-driven skincare improved acne and quality of life more effectively than self-chosen products in recent clinical trial.

Discover how machine learning shows high accuracy for HIV prediction but needs better validation before use in STI clinical ...

1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

Thinking Model Seed-Thinking-v1.5 Technical Report. The report consists of: 19 pages. ByteDance releases the Seed1.5-Thinking ...

In June, Google DeepMind took the wraps off AlphaGenome, its latest machine learning model for biological discovery. While ...

Claim.co.uk earned a 2025 Global Recognition Award for developing an AI-driven solution that quickly detects housing ...

Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...