Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...
Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is ...
SAE Transactions, Vol. 113, Section 5: JOURNAL OF MATERIALS AND MANUFACTURING (2004), pp. 101-110 (10 pages) Modern engineering design often involves computation-intensive simulation processes and ...
SHENZHEN, China, Jan. 2, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of an innovative hybrid algorithm that combines the ...
A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...
Machine learning algorithms are gaining popularity in the hydrologic sciences. These algorithms often require tuning hyperparameters to tailor their performance to a specific purpose. Often these ...
In 2025, as consumer patience with bias evaporates, equitable personalization is emerging as the most untapped growth ...
T-VOS has been integrated into the Marine AI technology platform developed for DARPA's NOMARS programme. NOMARS is being delivered by Serco in the shape of the demonstrator vessel USX-1 Defiant ...
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