Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.

Economic forecasts rarely hit the mark as reality is full of surprises. Thankfully we can learn from the patterns of forecast errors. They shed light ...

Long confined to theoretical labs and sci-fi thrillers, quantum computing is fast emerging as a real-world technology with ...

Google Gemini 3.1 Pro adds Agentic Vision for step-by-step image analysis; it is on by default, clearer visual results follow ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Overview: AI triage delivers safe, timely care to every patient across all populations.Auditing datasets, labels, workflows, and outcomes reveals blind spots be ...

SJOLIE reports that consistent imagery in e-commerce can reduce high return rates by aligning customer expectations with reality, enhancing profits.

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.

NVIDIA CEO Jensen revealed that not only does Space AI solve the AI energy scaling problem and the compute scaling problem, ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Claude Sonnet 4.6 features improved skills in coding, computer use, long-context reasoning, agent planning, knowledge work, ...