Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Satellite data and weather models improve short-term solar irradiance forecasts in China

The intermittent nature of solar energy poses challenges to grid stability, making accurate ultra-short-term solar irradiance ...

Why SMX’s Execution Phase Favors Upside More Than Downside

NEW YORK, NY / ACCESS Newswire / December 24, 2025 / Once technology is validated and network effects begin to take hold, the next question investors should ask is simple: how efficiently can this ...
techxplore

All-solid-state batteries: New findings on space charge effects could improve efficiency

Batteries are found in many devices. The development of solid-state batteries that provide higher working voltage, have a higher capacity, and can no longer burn is the subject of current research.
Sports Illustrated

How Michigan State Can Slow Maryland’s Dynamic QB

The Michigan State Spartans are trying to end the 2025 season with a win over the Maryland Terrapins at Ford Field. MSU has played hard in the last few weeks, but the team has not been able to get ...
IEEE

ChannelMamba: A Mamba-Driven Selective State-Space Model for Channel Prediction of High-Mobility MIMO in 6G IoT

Abstract: Accurate channel state information (CSI) prediction is essential for 6G massive multiple-input multiple-output (m-MIMO) IoT systems. Deep learning models, such as Transformers, exhibit ...
Scientific Research Publishing

Integrating Volatility Models within State Space Frameworks for Commodity Return Analysis ()

The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in the ...
SiliconANGLE

Ai2 releases an open AI model that allows robots to ‘plan’ movements in 3D space

Seattle-based artificial intelligence research institute Ai2, the Allen Institute for AI, today announced the release of MolmoAct 7B, a breakthrough open embodied AI model that brings intelligence to ...
EurekAlert!

Reinforcement learning world models for catalyst surface reconstruction: state-of-the-art review

This work presents an AI-based world model framework that simulates atomic-level reconstructions in catalyst surfaces under dynamic conditions. Focusing on AgPd nanoalloys, it leverages Dreamer-style ...
Frontiers

Parametric modeling of deformable linear objects for robotic outfitting and maintenance of space systems

1 FASER Lab, Virginia Tech, Mechanical Engineering Department, Blacksburg, VA, United States 2 Autonomous Integrated Systems Research Branch, NASA Langley Research Center, Hampton, VA, United States ...
IEEE

Model-Free Adaptive State Feedback Control for General Nonlinear Systems With Time-Delay

Abstract: This article proposes a model-free adaptive state feedback control algorithm based on linear matrix inequalities (LMIs) for general unknown multiple input multiple output (MIMO) nonlinear ...
InfoQ

State Space Models Can Enable AI in Low-Power Edge Computing

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...