Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: Human-in-the-Loop Optimization (HILO) has demonstrated efficacy in achieving a plethora of assistive or augmentative effects. However, conventional optimizers such as Bayesian optimization ...
Abstract: In the field of semantic segmentation, the high computational cost of deep models poses a major barrier to deployment on edge devices. Among various efficiency-oriented methods, knowledge ...
Data-efficient formulation design. Uses a sparse initial dataset to begin optimization and can rapidly identify high-performing candidates to test, reducing experimental burden. Exhaustive and ...
A real-time procedural terrain generation system, built from scratch in Unity (C#) using GPU-accelerated Perlin Noise and AI (Particle Swarm Optimization) for intelligent asset placement. This project ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence(AI)/machine learning (ML) is being used in separation science, we interviewed Emery Bosten from ...
From cancer to Alzheimer’s: could a renewed focus on energy transform biomedicine? Including energy dynamics in research could improve our understanding of diseases and of the healing processes that ...
The urgent demand for clean energy and environmental sustainability calls for the rapid development of advanced materials with tailored properties. Traditional trial ...
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