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

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 ...

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 ...

Economic models used by governments, central banks and investors are increasingly understating physical climate risk because ...

Leaders operating in dynamic business environments can draw inspiration from quantum principles as metaphors for navigating ...

Ethereum’s scaling roadmap is reshaping how the network handles throughput and fees. As that architecture matures, some ...

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...

A complex combination of scale, immediacy and human emotion is what makes sports broadcasting one of the most important ...

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

NEW YORK —The Coalition for Innovative Media Measurement (CIMM) has announced strategic priorities for 2026 that aim to reinforce its commitment to advancing improvements, best practices, innovations ...