Communications of the ACM

The ‘Matrix’ for Machines

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
fandomwire

The Matrix Symbolism: What Every Character Stands for in the Franchise

The name Neo is an anagram for the One, directly hinting at his destiny as the messiah who will save humanity. At the climax of The Matrix (1999), Neo is killed by Agent Smith and then resurrected, ...
IEEE

Robust Deep Matrix Factorization With Low-Rank and Hypergraph Learning for Multi-View Data Processing

Abstract: As the advancement of sensing technology and cyber-physical equipment, the complexity and dimensionality of the data from Consumer Internet of Things have increased dramatically. Processing ...
Frontiers

Interleaving cortex-analog mixing improves deep non-negative matrix factorization networks

1 Institute for Theoretical Physics, University of Bremen, Bremen, Germany 2 Institute of Electrodynamics and Microelectronics (ITEM.ids), University of Bremen, Bremen, Germany Considering biological ...
IEEE

Non-Negative Matrix Factorization and Latent Semantic Analysis for Hybrid Feature Selection: A Proposed Machine Learning System for the Detection of Malicious Executable Files

Abstract: During a typical cyber-attack lifecycle, several key phases are involved, including footprinting and reconnaissance, scanning, exploitation, and covering tracks. The successful delivery of a ...
marktechpost

RXTX: A Machine Learning-Guided Algorithm for Efficient Structured Matrix Multiplication

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...
C&EN

Facilitating Screening of MOFs for Mixed Matrix Membranes Using Machine Learning and the Maxwell Model

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