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.

Modern unmanned technologies are experiencing rapid growth, encompassing both civilian and military applications. Autonomous ...

The award supports the placement of the Virtuoso Surgical System at three of the participating research sites.

Quantum computing is an emerging technology that has the potential to revolutionize many industries. According to a late 2021 ...

As we step into 2025, the automotive retail industry is ready to take its next step in modernizing its operations, where ...

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had ...

Binjumah, W. (2025) A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning. International ...

A prototype of a new oral cancer diagnosis device, developed by the University of Liverpool, has demonstrated promising results during preliminary tests on histopathology specimens.

An AI foundation model capable of predicting gene activity across many different human cell types may expedite research for ...

A newly compiled dataset of nearly one billion images of auroras is helping researchers categorize—and perhaps ultimately ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a ...

A team led by Frank Hutter, Professor of Machine Learning at the University of Freiburg, has developed a new method that facilitates and improves predictions of tabular data, especially for small data ...