In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...

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, ...

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 ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

A comprehensive review of laser additive manufacturing (LAM) of metallic lattice structures demonstrates how advanced design strategies, processing control, and material innovations significantly ...

Researchers have proposed a personalized longitudinal motion planning policy for intelligent vehicles that combines reinforcement learning with imitation learning. The approach is designed to reduce ...

RT-MALS can provide instantaneous measurements of adenovirus particle size and titer during downstream and fill–finish ...

A platform approach to gene editing brings together design, manufacturing, validation, analytics, and regulatory considerations right from the start.

By comparing genetic data from 23 million newborns to rare disease models, researchers found some models’ estimates were 10 ...

At Pittcon 2026 in San Antonio, Texas, USA, LCGC International spoke with 2026 LCGC International Emerging Leader Award ...