CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...

A new technical paper titled “MultiVic: A Time-Predictable RISC-V Multi-Core Processor Optimized for Neural Network Inference” was published by researchers at FZI Research Center for Information ...

Abstract: This paper presents a MATLAB code for Adaptive Fuzzy Campus Placement based Optimization Algorithm (AFCPOA), a novel approach designed to address the solutions to single and multi-objective ...

With the college football season creeping closer, Big Ten Network has released its list of play-by-play announcers, analysts and studio panels for the year. With the opening kickoff creeping closer, ...

Abstract: In the IoT realm, the burgeoning number of devices makes firmware security paramount. As software demands evolve, developers reuse code, which may contain flaws. Firmware's closed - source ...

This is the MATLAB code for the implementation of neural pupil engineering FPM (NePE-FPM), an optimization framework for FPM reconstruction for off-axis areas. NePE-FPM engineers the pupil function ...

Introduction: In recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing ...

Zant is an open-source, cross-platform SDK written in Zig and designed to simplify deploying Neural Networks (NN) on microcontrollers. It comprises a suite of tools to import, optimize, and deploy NNs ...

Brain-computer interfaces (BCIs) are an advanced fusion of neuroscience and artificial intelligence, requiring stable and long-term decoding of neural signals. Spiking Neural Networks (SNNs), with ...

MATLAB, short for Matrix Laboratory, is a high-level programming language and software environment developed by MathWorks. It excels in numerical computation, data analysis, and algorithm development.