Abstract: In genetic algorithm (GA) based topology optimization problems, characteristics of an initial population are important for the rapid and stable convergence. This paper introduces an ...

Abstract: The performance of machine learning algorithms are affected by several factors, some of these factors are related to data quantity, quality, or its features. Another element is the choice of ...

This repository hosts the implementation of an innovative methodology for the intelligent optimization of steel structures using a BIM-based visual programming platform and tools. The methodology ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a ...

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Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...

Operational autonomy is quickly becoming one of the defining capabilities of a modern enterprise. As digital estates become ...

The offices of Google are pictured in London on February 28, 2026. JUSTIN TALLIS/AFP via Getty Images Google released agents-cli on April 21, 2026, and it has shipped 13 updates in the 71 days since — ...

Think of tokenomics as a cloud budget for AI; it stops your team from accidentally racking up massive bills on giant prompts and oversized model responses.

Five independent security disclosures in a single week point to the same gap: AI agent permissions, not AI agent capabilities, are the problem enterprises haven’t solved. If you can only read one tech ...

BCC Research examines how AI is improving diagnostic accuracy, enabling personalized treatments and optimizing therapeutic outcomes across dermatology applications.”Boston, June 17, 2026 (GLOBE ...