IEEE

MPDA: A Massively Parallel Learning and Dependency-Aware Scheduling Algorithm for Data Processing Clusters

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
JD Supra

Google’s New ‘Quantum Echoes Algorithm’ and My Last Article, ‘Quantum Echo’

Google’s Quantum Echoes now closes the loop: verification has become a measurable force, a resonance between consciousness and method. The many worlds seem to be bleeding together. Each observation is ...
IEEE

Developing Personalized Marketing Strategies Based on Customer Behavior Analysis Using Clustering and Machine Learning

Abstract: This study introduces a data-driven approach to customer segmentation using clustering algorithms like K-Means, DBSCAN, hierarchical clustering, and PCA. Customers are segmented based on ...
eLife

CellCover Defines Marker Gene Panels Capturing Developmental Progression in Neocortical Neural Stem Cell Identity

This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...
Finbold | Finance in Bold

Machine learning algorithm predicts AMD stock price on October 31, 2025

Advanced Micro Devices (NASDAQ: AMD) exploded on Monday, October 6, after the company announced a new partnership with OpenAI. As part of the deal, OpenAI will deploy up to 6 gigawatts (GW) of AMD ...