IEEE

Logic Neural Networks for Efficient FPGA Implementation

Abstract: Logic Neural Networks (LNNs) represent a new paradigm for implementing neural networks in hardware devices such as Field-Programmable Gate Arrays (FPGAs). These network architectures exhibit ...
IEEE

Event-Based Spiking Neural Networks for Object Detection: A Review of Datasets, Architectures, Learning Rules, and Implementation

Abstract: Spiking Neural Networks (SNNs) represent a biologically inspired paradigm offering an energy-efficient alternative to conventional artificial neural networks (ANNs) for Computer Vision (CV) ...
Tech Xplore

Geometry behind how AI agents learn revealed

A new study from the University at Albany shows that artificial intelligence systems may organize information in far more ...
Bored Panda on MSN

What's the creepiest display of intelligence you've seen by another human? (22 answers)

Person asks the internet, “What’s the creepiest display of intelligence you’ve seen by another human?” and netizens don’t ...
Scientific Research Publishing

Zhuo, N., Zhang, S., Chang, J. and Ye, C. (2025) Non-Inclusive Diagnosability of Folded Hypercube-Like Networks. Discrete Applied Mathematics, 364, 237-246.

ABSTRACT: The diagnosability of interconnection networks serves as a critical metric for evaluating the reliability of multiprocessor systems, as it quantifies the system’s capability to identify ...
Frontiers

Artificial intelligence in financial market prediction: advancements in machine learning for stock price forecasting

This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...