U.S. Olympic skiers and scientists explain the sharp differences between natural snow and machine-made snow, from the science ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

Researchers at the Museum für Naturkunde Berlin, together with data scientists, have developed a new method to largely ...

The acquisition strengthens its position in the foundational semiconductor technologies that underpin many data-driven and AI ...

Today’s AI-equipped machines are pushing yields to new heights, but at what cost to a farmer’s privacy? As machines capture millions of data points in real time, it begs the question: What happens to ...

The top five challenges facing maintenance professionals today are aging infrastructure and equipment; knowledge gaps among employees; lack of digitization and usable data; budget pressure and ...

Abstract: Predictive Maintenance (PdM) represents a transformative approach to industrial asset management, leveraging IoT sensors, artificial intelligence, and big data analytics to anticipate ...

Library created to control a wide variety of A/V equipment which expose text-based control protocols over RS232, USB serial connections, and/or remote IP sockets. From those learnings, it was observed ...

At least $3 trillion is set to flow into data-center-related investments over the next five years, capital that will rely on the might of multiple areas of the credit markets to provide, according to ...

Abstract: Smart manufacturing, a cornerstone of Industry 4.0, relies on interconnected devices and real-time data analysis to ensure efficient operations and prevent costly equipment failures.

Editor's note: Este artículo está traducido al español. It’s about the size of a microwave, costs more than a house and could change how artificial intelligence runs. At CES in Las Vegas last week, ...