Hello.This is Pharmer.In this article, I will organize how much machine learning can be used in HPLC method development from ...

Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions ...

Researchers have developed a physics-informed machine learning framework that predicts the remaining useful life of electric ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Earth System Models (ESM) are our main tool for projecting the impacts of climate change. However, running these models at sufficient resolution for local-scale risk-assessments is not computationally ...

Researchers used hierarchical agglomerative clustering to sort the Veterans Health Administration's eighteen regions into ...

A new artificial neural-network architecture opens a window into the workings of a tool previously regarded as a black box. Since the Scientific Revolution, scientific progress has mostly been made by ...

This presentation explores how machine learning can be used to model storm surge hazards at continental and global scales. Participants will learn why broadscale storm surge information is important ...

How RFID and machine learning stop tool theft on construction sites, cutting $1 billion in annual losses through digital perimeters and predictive AI.

High-precision Global Navigation Satellite System (GNSS) positioning depends on successful carrier-phase ambiguity resolution, but this remains ...