Strong Field Spin-Boson model revises how intense lasers drive electrons in dense matter

A team of physicists from the University of Ottawa have developed a new theoretical model that shines new light on how ...

How machine learning helps MEMS actuators move in perfect lines

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...
News-Medical.Net

Eating more plant-based foods may lower breast cancer risk, major international study indicates

Greater adherence to healthful plant-based dietary patterns was associated with lower breast cancer incidence and reduced all ...

AI Brings Predictability to Complex Food Product Development

A new review shows how AI helps food companies predict formulation, processing, and sensory outcomes. AI does not ...
IEEE

Controller Design for Sensorless Brushless DC Motors Through a Nonlinear Model Predictive Tracker and Augmented Extended Kalman Filter

Abstract: This article proposes a nonlinear model predictive controller (NMPC) combined with an augmented extended Kalman filter (AEKF) for sensorless brushless direct current (BLDC) motors. The ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Economic Models Understating Climate Change Challenges, Study Finds

The report warns many economic models are failing to capture extreme weather events and rising uncertainty likely to dominate impacts in a hotter world.
IEEE

Precise Model-Based Predictive Motion Control for Electric Vehicles Using Limited Offline Data and Real-Time Online Adaptation

Abstract: The pronounced nonlinearity of vehicle dynamics under extreme conditions presents a substantial challenge for motion control. The complexity of nonlinear modeling, parameter inaccuracies, ...