The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to social influencers.

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...

The Doñana National Park, considered one of Europe's most valuable wetlands, is expected to lose its marshland in 61 years, according to calculations from a major water-resource monitoring study ...

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

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...