Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
IEEE

Multi-UAV Coverage Path Planning Based on Balanced Graph Partitioning

Abstract: Coverage path planning is a critical problem in multi-unmanned aerial vehicle (UAV) systems for daily inspection and patrol missions, requiring coordinated movements of UAVs along ...
American Bar Association

Redefining the Relationship: An Examination of the Independent Contractor Classification in Multi-Level Marketing Under the Department of Labor’s 2024 Guidelines

On January 10, 2024, DOL issued a final rule that significantly changed the test for independent contractor and employee. Reevaluating employment status of individuals involved in multi-level ...
C&EN

SFMMoE: A Semi-Empirical Descriptor-Augmented Multi-Expert Graph Neural Network for Accurate Prediction of Singlet Fission Properties

Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, Shanghai Frontiers Science Center of Molecule Intelligent Syntheses, School of Chemistry and Molecular ...
wvnews

Real-time water level graph created for Deep Creek Lake

DEEP CREEK LAKE — A collaboration with Deep Creek Watershed Foundation and the Property Owners’ Association of Deep Creek Lake Inc. has resulted in the launch of a real-time water level graph for Deep ...
Frontiers

A multi-domain graph convolutional network-based prediction model for personalized motor imagery action

Brain-computer interfaces (BCIs) are advanced and innovative systems that enable direct communication between humans and external devices by utilizing data encoded in the brain activity (Shi et al., ...
Manufacturing

When Should Manufacturers Use Multi-Level BOMs?

A multi-level BOM is a bill of materials that details the composition of the product as well as the composition of the subassemblies used in the product. While a single-level BOM would only include ...
eeworldonline

How to implement multi-sensor fusion algorithms for autonomous vehicles

To achieve autonomous vehicle (AV) operation, sensing techniques include radar, LiDAR, and cameras, as well as infrared (IR) and/or ultrasonic sensors, among others. No single sensing technique is ...