Veeva’s expanded manufacturing QC solutions to automate environmental sample collection and analysis PLEASANTON, CA — Jan. 8, ...

Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, ...

The Space Force is seeking industry input on commercial space- and ground-based environmental monitoring data and services.

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

Accurate and continuous monitoring of free chlorine concentrations is essential for ensuring water safety in applications such as drinking water disinfection and food sanitation. Traditional methods ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...

Combined sewer systems are a legacy infrastructure practice of having a single pipe to collect both wastewater and stormwater. There are approximately 700 combined sewer systems in the U.S., primarily ...

Abstract: Laser absorption spectroscopy (LAS) has been widely adopted as a diagnostic tool for reactive flow-field monitoring in industrial combustion applications. Despite various advancements in LAS ...