This Research Lab Is Giving AI A Better Memory

“They say, ‘We're going to throw out everything in my memory that's very old. For instance, they’ll cut off everything beyond ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Devdiscourse

From monitoring to decision-making: How AI is transforming sustainable environmental governance

More recently, deep learning and evolutionary algorithms have enabled long-term ecological forecasting, carbon emission ...
TMCnet

WiMi Lays Out Scalable Quantum Convolutional Neural Network to Enhance Image Classification Accuracy and Efficiency

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring Scalable ...

Future Outlook: Innovations and Development Trends of OCR Document Recognition Technology

(1) Integration with Artificial Intelligence and Machine Learning ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Deta Group's CNN Technological Innovation: Addressing Industry Pain Points and Empowering Intelligent Development Across Multiple Fields

As artificial intelligence technology accelerates its penetration into various industries, Convolutional Neural Networks (CNN) have emerged as a core technology in the field of computer vision, ...
IEEE

Optimization of Convolutional Neural Networks With Multi-Objective Function Metaheuristics for Melanoma Detection

Abstract: Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often ...
EDN

Impedance mask in power delivery network (PDN) optimization

In telecommunication applications, target impedance serves as a crucial benchmark for power distribution network (PDN) design. It ensures that the die operates within an acceptable level of rail ...
IEEE

Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...