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 ...

The explosion in data quantity has kept the marriage of computing and statistics thriving through successive hype cycles: ...

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

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Explore how AI-powered forensic data audits can enhance data literacy and improve air quality measurements for socio-economic ...

Objective Concentration of care and collaborations between hospitals increasingly reorganise oncological care into Comprehensive Cancer Networks (CCNs), aiming to improve care outcomes and reduce ...

Embodied AI is central to modern autonomous driving systems. These systems do not merely perceive the environment; they ...

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 ...

Facial emotion representations expand from sensory cortex to prefrontal regions across development, suggesting that the prefrontal cortex matures with development to enable a full understanding of ...

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