EurekAlert!

Qjump: Shallow-circuit quantum sampling guides combinatorial optimization

Researchers from Zhejiang University and their collaborators have developed Qjump, a hybrid quantum-classical algorithm for ...
IEEE

Research on the Optimization of Big Data Processing Algorithm Based on MapReduce in Mathematical Modeling

Abstract: This study proposes a distributed computing optimization framework based on MapReduce to address the problem of low efficiency in big data processing in mathematical modeling. The aim is to ...

SELECT Announces Automated BigQuery Cost Optimization Early Access Program

Solution will combine a proven data platform visibility and automation engine with DoiT's market-leading depth of BigQuery customer experience. SANTA CLARA, Calif., April 16, 2026 /PRNewswire/ -- ...
Analytics Insight

Voice and Conversational Interfaces Will Define Future Apps

One of the largest insurance companies in the U.S. handles 12,000 policy requests every day. Two years back, their call center had 180 agents who answered simpl ...
SciELO

A Survey of Basic Concepts and Applications of Machine Learning to Chemistry

Theoretical and computational chemistry (TCC) is a set of theories and models that, over the years, were refined to the point that it is possible to determine measurable quantities with precision, ...
IEEE

A Reinforcement Learning-Based Lagrangian Decomposition Approach for Energy-Oriented Scheduling Optimization in Steelmaking Process

Abstract: Steelmaking is a typical energy-intensive process that consumes large amount of electricity and oxygen, significantly impacting the total production cost. The production of steelmaking ...