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

Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

Generative AI is often villainised as something that will dumb people down. But new tools from AI companies are doing just ...

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, ...

Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

University of Virginia School of Data Science researcher Heman Shakeri has been awarded a major new research grant to lead work at the intersection of machine learning and diabetes care. Shakeri will ...

I disconnected our streaming services last month. All of them. Netflix, Disney+, Hulu—gone. My kids looked at me like I’d announced we were moving to a commune. “What are we supposed to watch?” my ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

Synthetic technologies are reshaping the legal landscape, presenting expert witness reporting with a pivotal challenge: ...