Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

Abstract: This work studies learning-aided indoor fingerprint positioning (FP) for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems, by exploiting their ...

WRD’s own research, published on the app’s website, shows that users following this approach reach the same levels of ...

A newly annotated fingerprint dataset combined with open-source software could help forensic examiners work more consistently ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

Researchers at City of Hope, a cancer research and treatment organization, and the University of California, Berkeley, have created a novel microfluidic platform that can assess women's breast cancer ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Corporate investment in AI continues to accelerate globally and patent filings for AI-related inventions are rising across ...

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

The Spence Award recipient answered a few questions about his research on the interactions between human psychology and ...