Scientific American

The next AI revolution could start with world models

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
AlphaGalileo

Nanopore signals, machine learning unlock new molecular analysis tool: Voltage-matrix nanopore profiling reveals molecular individuality in protein mixtures

Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools struggle to distinguish subtle variations in the structure or composition among ...
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 ...
Scientific Research Publishing

Fierimonte, R., Scardapane, S., Uncini, A. and Panella, M. (2017) Fully Decentralized Semi-Supervised Learning via Privacy-Preserving Matrix Completion. IEEE Transactions on ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...
GitHub

The machine learning part isn't working the way it is intended to.

The machine learning part is still under process, I can't figure out a way to make it work. I used 2 sample text files namely: legitimate_urls.txt and phishing_urls.txt to train the machine learning ...