MIT Technology Review

Why it’s time to reset our expectations for AI

The hype we have been sold for the past few years has been overwhelming. Hype Correction is the antidote. Can I ask you a question: How do you feel about AI right now? Are you still excited? When you ...
Frontiers

Multi-source data-driven Bayesian network for risk analysis of maritime accidents in the high sea

Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this ...
Scientific Research Publishing

Zakkour, A., Perret, C. and Slaoui, Y. (2023) Stochastic Expectation Maximization Algorithm for Linear Mixed-Effects Model with Interactions in the Presence of Incomplete Data ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...
Business Wire

Flux Power Awarded Patent for an Intelligent Battery Cycle Life Maximization Algorithm, Pioneering the Future of AI-Driven Energy Optimization

VISTA, Calif.--(BUSINESS WIRE)--Flux Power Holdings, Inc. (NASDAQ: FLUX), a leading developer of advanced lithium-ion energy storage solutions and software-driven electrification for commercial and ...
TMCnet

Flux Power Awarded Patent for an Intelligent Battery Cycle Life Maximization Algorithm, Pioneering the Future of AI-Driven Energy Optimization

Flux Power Holdings, Inc. (NASDAQ: FLUX), a leading developer of advanced lithium-ion energy storage solutions and software-driven electrification for commercial and industrial equipment, today ...
acm.org

Technical Perspective: Shortening the Path to Designing Efficient Graph Algorithms

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...
Scientific Research Publishing

Korting, T. S., Dutra, L. V., Fonseca, L. M. G., Erthal, G., & da Silva, F. C. (2007) Improvements to Expectation-Maximization Approach for Unsupervised Classification of ...

ABSTRACT: Coral reefs have tremendous benefits to both humans and marine biodiversity but are globally endangered. Traditionally, data collection of coral reefs was fieldwork based, which is ...