Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...

Delivery robots made by companies such as Starship Technologies and Kiwibot autonomously make their way along city streets ...

MIT researchers have recently unveiled an innovative framework that organizes artificial intelligence (AI) algorithms in a ...

Performance Metrics of the Model: The effectiveness of AI-based hardware Trojan (HT) detection models can be assessed by a range of classification metrics, including accuracy, precision, recall (true ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

A new benchmark performed on chips from five different vendors has indicated how we can measure QPU performance as quantum computers become more advanced and useful.

GraphBAN is an inductive graph-based approach ... Hadipour conceptualized the idea and designed the algorithms along with Dr. Pingzhao Hu. Hu is an adjunct professor at UM Max Rady College ...

A high-performance library for graph algorithms written in Java. It contains a wide collection of optimized algorithms and data structures for a range of problems on graphs.

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these ...

The system divides 3D space into "cells" and treats each cell as a node in a graph network. It uses transformer-based graph neural networks to capture spatial relationships between neighboring cells, ...

A machine-learning algorithm, Weighted Graph Anomalous Node Detection (WGAND), has been developed to identify key proteins in human tissues by analyzing protein-protein interaction networks.