OpenAI launches GPT-5.4-Cyber with selective access for verified defenders, adding a cyber-focused model and tighter controls ...

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

Manufacturing is entering a new era where AI interacts directly with the physical world. Through robotics, sensors, ...

Cruise control can be a true asset when you're on a road trip or stuck in the car for hours. We're not talking about autopilot or self-driving vehicles, but that handy feature that you can turn on to ...

Abstract: Model-free predictive control (MFPC) has become a popular choice for addressing the robustness limitations of model-based predictive control (MBPC), by replacing physical models with ...

Abstract: This article proposes a new current control for switched reluctance motor (SRM) drives. The proposed method is based on the principles of model-free predictive control. Therefore, it ...

If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...

Industry Insight from Ethical Corporation Magazine, a part of Thomson Reuters. AI tools now predict illegal deforestation up to six months in advance WWF's Forest Foresight operates in six countries, ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...