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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Conservationists can now monitor climate impacts to expansive marine ecosystems over extended periods of time, a task that used to be impossible, using a tool developed by scientists in the U.S. The ...

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 ...

Deep learning is a subfield of machine learning that uses algorithms inspired by the structure and function of the brain's neural networks to process and analyze large sets of complex data. These ...

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 ...

Optical analysis and machine learning techniques can now readily detect microplastics in marine and freshwater environments using inexpensive porous metal substrates. Details of the method, developed ...

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 ...

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