Angled micro-actuators boost force and range for next-gen silicon photonics

Silicon photonic systems rely increasingly on micro-electro-mechanical systems (MEMS) actuators to provide precise beam steering, wavelength tuning, and optical switching. These applications demand ...
Tech Xplore

Study finds 'dosed' nonlinearity can beat linear and fully nonlinear AI

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...
TMCnet

WiMi Studies Hybrid Quantum-Classical Inception Neural Network Model for Image Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") ...
AZoBuild

Engineered Shell Transforms Weak Concrete Joints Into Seismic Powerhouses

Research shows ECC shells can transform RC beam-column joints, enhancing load capacity and energy dissipation, crucial for earthquake-resistant design.
Opinion
Dot Physics on MSNOpinion

2D linear drag: Analytical and numerical solutions compared

Explore 2D linear drag by comparing analytical and numerical solutions in this clear and engaging physics tutorial. In this video, we break down the mathematics behind linear drag forces, demonstrate ...

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 ...

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 ...

From fluctuations to precision: Injection locking boosts microwave comb stability

FAYETTEVILLE, GA, UNITED STATES, February 7, 2026 /EINPresswire.com/ -- Microwave frequency combs offer a powerful ...
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 ...
IEEE

Physics-Informed Data-Driven Autoregressive Nonlinear Filter

Abstract: State estimation for nonlinear models has been a longstanding challenge in the field of signal processing. Classical nonlinear filters, such as the extended Kalman filter (EKF), unscented ...
C&EN

Reinforcement Learning-Based Nonlinear Model Predictive Controller for a Jacketed Reactor: A Machine Learning Concept Validation Using Jetson Orin

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...