Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Series B and C start-ups are evaluated across three main areas: financial performance, funding and valuation and operational capabilities ...

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...

Start-ups are evaluated across three main areas: financial performance, funding and valuation, and operational capabilities. The study focuses entirely on Series B and Series C start-ups. For states ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

New research shows supervised machine learning models combining Helicobacter pylori genomic data with patient demographics can accurately predict gastric cancer risk.