We know that the RSAC 2026 cybersecurity conference this week in San Francisco is going to be an artificial ...

Copyright protects original literary and artistic works of natural persons. But what about works generated through artificial intelligence? Courts all over the world are still divided on this issue, ...

Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found. The study—led by investigators at ...

Yet, traditional ITSM frameworks often rely heavily on manual processes that create inefficiencies, accuracy issues, and slow resolution times. As organizations scale and user demands grow more ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Abstract: In recent years, model interpretability has attracted significantly increasing attention and research interests from different backgrounds and perspectives. This paper focuses on ...

Modern-day LLMs are "fiction machines," designed not to be truthful but to make sense. What can we expect from these machines, and what are their limitations?

A machine learning model applied to US death certificate data estimated that over 155,000 COVID-19 deaths were unrecognized between March 2020 and December 2021, suggesting total mortality was about ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...

A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care ...