Abstract: Accurate bathymetric data are critical for marine ecological balance and resource management. Deep learning algorithms, known for their capacity to model complex, multivariate, and nonlinear ...
Today, most investment firms use AI to assist human managers, providing data or suggestions for them to act on. BAILA represents a new category of AI-Managed Investing, where the AI makes the ...
That’s the job of generative engine optimization (GEO) — and in 2026, it’s no longer optional. This guide shows you how to build, execute, and measure a GEO strategy that actually works. What is GEO — ...
Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...
A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.
Abstract: Parallel Bayesian optimization is crucial for solving expensive black-box problems, yet batch acquisition strategies remain a challenge. To address this, we propose a novel parallel ...
This was my project for the unit 'Natural Language Processing for the Creative Industries' at the University of the Arts London during Term 1 of my masters program. Research into the area of text ...
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