Cross-Modal Data Understanding Advances Through Bukun Ren’s Review of Visual Language Models

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...
Electronic Design

Advanced MCUs Bring AI to Cost-Sensitive Applications

Neural-network processors accelerate AI program execution while development tools help you get to market fast.
Tech Xplore

AI-powered surrogate models bring real-time simulation to composite manufacturing

A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...
Yahoo Malaysia

New holographic storage method uses light to pack more data in less space

New holographic storage packs data into amplitude, phase and polarization, raising density and simplifying readout. (CREDIT: ...
IEEE

Graph Neural Network Empowered Wireless Communications: Fundamentals, State-of-the-Art, Challenges, and Opportunities

Abstract: Deep learning (DL) has been widely applied in wireless communications to address diverse challenges, such as beam management, positioning, and channel state information (CSI) feedback.
Los Alamos Reporter

LANL: Researchers Show Some Quantum Learning Models Are Classically Simulable

As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...
Scientific Research Publishing

Research on Structural Damage Identification Method Based on Convolutional Neural Network ()

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...
GitHub

What are neural networks?

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...