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 ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

GPT-5.4 is out now on ChatGPT (where it goes by the name GPT-5.4 Thinking) as well as on the OpenAI API and OpenAI’s coding ...

The latest model comes with native computer use capabilities, allowing it to take on jobs across your device and applications.

China, India, and Japan Are Fueling Sustained Demand Across the APAC Truck Tire Market Chinese manufacturers are ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Abstract: This article introduces a model predictive torque control (MPTC) scheme using a modified hybrid torque sharing function (TSF) and the adaptive adjustment regarding parameters for switched ...

U.S. Customs and Border Protection can legally search travelers' electronic devices at ports of entry. Border agents can compel travelers to unlock phones using biometrics like Face ID without their ...

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 ...