A massive new database of dielectric material properties could speed up the development of electronics like smartphones and energy storage syste ...

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 ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

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.

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.