GitHub

PSELDNets: Pre-trained Neural Networks on Large-scale Synthetic Datasets for Sound Event Localization and Detection

It synthesizes a large-scale SELD dataset designed to include numerous sound event instances and various acoustic environments. It introduces PSELDNets trained on the large-scale synthetic SELD ...
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 ...
YouTube on MSN

Photoshop: How to transform a summer photo into winter!

Photoshop cc 2024 tutorial showing how to create a snowy winter scene with falling snow from a summer photo as well as a ...

Why World Models Like Google’s Project Genie Work

Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into ...
IEEE

Neural Network Watermarking With Hierarchical Recoverability

Abstract: In recent years, neural network models have been widely used in many tasks, however, tampering operations from malicious attackers, e.g., backdoor attacks and parameter malicious tampering, ...
GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...