Hildisrieden, LU - February 07, 2026 - PRESSADVANTAGE - Oekoboiler Swiss AG continues to strengthen its position as a ...

Q4 2025 Earnings Call February 12, 2026 5:00 PM ESTCompany ParticipantsJohn Kibarian - Co-Founder, President, CEO ...

Finance documents like bank statements, tax forms, and investment reports often show up as scanned PDFs you can't search through. It's a ...

Honeywell and Danfoss are partnering to integrate variable frequency drive (VFD) technology with Honeywell's Experion Process Knowledge System platform to streamline motor control, reduce energy ...

The long-awaited sequel to the critically acclaimed, multi-award-winning video game “Control“ will debut in 2026 according to developer Remedy Entertainment. Formerly known as Control 2 or Codename ...

Almost everyone agrees that the US air traffic control system is broken. Longstanding staffing shortages. Antiquated technology. And now, air traffic controllers are caught in the middle of a ...

The automated process control system for unit 1 has been delivered to the construction site of the Akkuyu nuclear power plant in Turkey. The system monitors and controls all key reactor parameters, as ...

Ford is reinventing the traditional car factory it established more than a century ago with the Model T. The new Universal EV Production System splits the traditional single assembly line into three ...

How self-tuning can support an adaptive control strategy. How Model Reference Adaptive Control can improve adaptability. The different types of MRAC. A certain amount of flexibility is always good to ...

Ancient technologies like Windows XP, Commodore 64, and legacy COBOL programs are still being used for all kinds of critical functions, and here’s another example to add to the list. The US Federal ...

SEATTLE--(BUSINESS WIRE)--Amazon today announced the Amazon Key Access Control System—a lineup of customizable, property access solutions for multi-family buildings and gated communities. Amazon Key ...

Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...