Koteswara Rao Chirumamilla: Transforming Enterprise Data Engineering Through Cloud-Scale Automation And AI Intelligence

Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen years of experience across retail, supply chain, finance, and large-scale ...
Scientific Research Publishing

De-Risking Returns: How AI Can Reinvent Big Tech’s China-Tied Reverse Supply Chains ()

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Akamai Launches Program to Accelerate Cloud Growth for Independent Software Vendors

By participating in ISV Catalyst, software vendors gain access to Akamai's expansive cloud and edge computing infrastructure, positioning them to capture new demand as enterprises increasingly rely on ...
Chromatography Online

A Novel Machine Learning Method for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-phase HPLC Columns

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Tech Zone 360

How Machine Learning Models Are Transforming Enterprise Data Strategy

The landscape of enterprise data strategy has undergone a remarkable transformation in recent years, driven by the rapid advancement of artificial intelligence and particularly machine learning ...
Oak Ridge National Lab

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
Phys.org

National study finds public Montessori programs strengthen early learning outcomes—at sharply lower costs

The first national randomized trial of public Montessori preschool students showed stronger long-term outcomes by kindergarten, including elevated reading, memory, and executive function as compared ...
Frontiers

Intelligent optimization of slope step parameters in open pit mines containing weak interbedded layers based on machine learning and multi-objective optimization methods

1 Faculty of Land Resources Engineering, Kunming University of Science and Technology Kunming, Kunming, China 2 Pangang Group Mining Company Limited Panzhihua, Panzhihua, Sichuan, China The stability ...
Frontiers

Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning

1 Tianjin Chest Hospital, Tianjin University, Tianjin, China 2 Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, China Background: Lung ...
Nasdaq

Stabilus Launches Transformation Program With Global Job Cuts And Cost Optimization Measures

(RTTNews) - Stabilus SE (STM.DE) announced plans to reduce its global workforce as part of a wide-reaching transformation program aimed at boosting long-term competitiveness. The initiative includes ...
Scientific Research Publishing

Quinlan, J.R. (1993) C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo.

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...