MIT researchers developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like economics, ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption.

Multi-agent AI systems (such as drone swarms or robotic teams) normally rely on constant wireless communication. However, in environments like wildfires or disaster zones, their signals can be lost or ...

No audio available for this content. High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, ...

A small but growing number of educators are experimenting with oral exams to circumvent the temptations presented by powerful ...

The COVID-19 pandemic had a profound impact on K-12 education, reshaping how students learn and educators teach. As schools closed their doors, remote learning became the primary mode of instruction, ...

The Montessori method is an alternative, child-centric educational method. Montessori programs focus on the personal development of each individual child and encourage self-learning and discovery. The ...

A laser-based testing approach created by researchers at Lund University, Sweden Water Research, and Kristianstad University has been successfully tested in Helsingborg, where the test turnaround time ...