Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...

Drawing on research, ESMT’s Oliver Binz shows why breaking profitability into its underlying drivers — rather than treating ...

Abstract: Accurate Short-Term Load Forecasting (STLF) is essential for effective operational planning, particularly for optimizing maintenance schedules, managing power generation capacity, and ...

Perfecting a home-pulled espresso shot is no easy feat, but Breville offers a wide range of machines that give varying degrees of assistance, whether you're just starting out or looking to upgrade ...

Worldwide Flight Services (WFS), a SATS company, has developed a new digital tool using machine learning algorithms trained on 10 years of operational data to deliver highly accurate forecasts of ...

Bitcoin (BTC) surged nearly 5% early Monday, November 10, climbing back above $106,000 after briefly plunging below $100,000 last week. The uptick came as investors rushed to “buy the dip” following a ...

1 Civil Engineering Department, College of Engineering, University of Sulaimani, Sulaymaniyah, Kurdistan Region, Iraq 2 Vibrance Engineering Research Center, Sulaymaniyah, Kurdistan Region, Iraq Fiber ...