Breast cancer screening continues to reduce mortality through earlier detection, yet persistent challenges—including interval cancers, variable interpretive ...
AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...
Abstract: Planning smooth trajectories through a sequence of waypoints under nonconvex constraints is challenging due to the coupling between coefficient optimization and time allocation. Existing ...
At Pittcon 2026 in San Antonio, Texas, USA, LCGC International spoke with 2026 LCGC International Emerging Leader Award ...
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
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How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales. A new framework, CH4Vision, addresses this problem by estimating methane flux ...
Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...
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