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: 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 ...
Abstract: In large-scale complex scenes, multi-robot collaborative simultaneous localization and mapping (SLAM) technology has shown significant efficiency advantages. However, due to the differences ...
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 maintainable and extensible unit system for Unity, designed with interfaces, abstract classes, and ScriptableObjects to make adding and modifying units straightforward. States are designed so that ...
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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 ...
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