A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University ...

An automated machine-learning program developed by researchers ... bone density scans taken during routine clinical testing. The algorithm shortens the timeframe to screen for AAC significantly ...

An automated machine learning program has been able to identify ... taken during routine clinical testing. When applying the algorithm to vertebral fracture assessment (VFA) images taken in ...

The introduction of this technology marks a significant step forward in the practical application of quantum machine learning ... design and optimization algorithms. In terms of circuit design ...

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National ...

As this transformation unfolds, private equity firms and acquirers across industries must recalibrate their approach to ...

Light-based data made clearer with new machine learning method Tool offers precise insight on viral proteins, brain disease markers and semiconductors Date: April 28, 2025 Source: Rice University ...

Computational psychiatry is an interdisciplinary field of research that applies computational methods to the early detection ...

Hiding behind numerous disguises, HIV has been evading researchers for years, leaving the search for a vaccine as elusive as ...

Reconfigurable datacenter networks (RDCNs), which can adapt their topology dynamically, based on innovative optical switching ...