The wonders of automation have brought incredible efficiencies to standard IT monitoring practices, especially when it comes to the detection-prevention-analysis-response (DPAR) cycle. Automating ...

Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable. Agile development teams ...

Combining satellite technology with machine learning may allow scientists to better track and prepare for climate-induced natural hazards, according to new research. Combining satellite technology ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Ali Abedi (center) and the wireless soil moisture sensor with graduate student Kenneth Bundy (left) and local high school teacher Ed Lindsey (right). Monitoring soil moisture is an important component ...

How are AI Agents transforming DeFi? From autonomous risk management to liquidity optimization and smart contract security, ...

If you liked this story, share it with other people. Scientists have combined passive acoustic monitoring, machine-learning tools and aerial surveys to estimate the population of North Atlantic right ...