The American Control Conference (ACC), the annual conference of the American Automatic Control Council (AACC), will offer ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

KMLM provides exposure to macro trends, price volatility, and environments where traditional assets struggle. Read more here.

Elevated fine particulate matter and nitrogen dioxide exposure in the early to middle weeks of pregnancy had links to lower ...

A study published in Transportation Research found that successful parallel parking under time pressure correlates with lower ...

When AI prioritizes uniform productivity, it excludes. When it accounts for human variability, it unlocks overlooked talent.

On 2, 2026, Hyperliquid released HIP-4, thereby bringing outcome trading into its HyperCore engine and greatly enhancing the platform beyond perpetual futures into fully collateralized, low-risk ...

Silicon carbide is for photonic circuits and quantum devices. Atomic layer processing boosts SiC waveguides and resonators, improving performance.

I believe there are three core competencies to being a great CIO: beginning with IT-only, adding customer-centricity and then ...

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

Information theory and network physiology are rapidly converging fields that offer powerful frameworks for unraveling the complexities of living systems. At ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...