Unit-free theorem pinpoints key variables for AI and physics models

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
IEEE

Joint Optimization of Recurrence Plot Encoding and CNN Model Based on Heuristic Algorithms

Abstract: Peripheral waveform analysis (PWA), which is generally used to reveal hidden health status information from peripheral pulse signals, typically involves three procedures: signal ...
Bloomberg L.P.

David AI Raises $50 Million to Bring Audio Data to AI Models

David AI Labs Inc. a startup selling audio data sets to help train artificial intelligence models, has raised $50 million from investors in a new round of funding — signaling a growing market for ...
ascopubs.org

Identifying distant metastatic breast cancer recurrence: Validity of large language model and discrete-field algorithm approaches versus manual chart review.

Association between prostate specific membrane antigen imaging and initial treatment for prostate cancer among commercial insurance beneficiaries. This is an ASCO Meeting Abstract from the 2025 ASCO ...
IEEE

Combining Physics-Based and Data-Driven Models for Microseismic Velocity Inversion

Abstract: Accurate source localization and source mechanism estimation in microseismic monitoring critically depend on precise subsurface velocity model reconstruction. Recent advances in data-driven ...
Frontiers

Multifactorial analysis and construction of a nomogram model for postoperative recurrence of glomus jugulare tumor

Background: To derive and validate a prognostic nomogram for predicting postoperative recurrence in patients with glomus jugulare tumor(GJT) to assist clinical decision-making. Methods: A ...