Learn how to use permutation testing to validate your machine learning models using Sklearn. This video breaks down the process to help improve model reliability and performance.

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Deep dish pizza is synonymous with Chicago. A bread-like base topped with layers of mozzarella and chunky tomato sauce is the perfect fortification, some might argue, against the notoriously long and ...

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.

SYDNEY, Nov. 11, 2025 /PRNewswire/ -- Studiosity, the global edtech leader in pedagogically sound AI-for-Learning, announced the acquisition of Norvalid, a world leader in student self-validation of ...

aCardiovascular Imaging Research Center (CIRC), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA bPulmonary and Critical Care Division, Massachusetts ...

Abstract: Despite the promising performance of deep reinforcement learning (DRL)-based energy management systems (EMS) for electrified vehicles, persistent safety concerns regarding control actions ...

Female University of Pennsylvania teammates of trans swimmer Lia Thomas are hailing the school’s move to ban biological men from competing on women’s teams. The female Ivy League swimmers were forced ...

Purpose: Accurate differentiation between glioma recurrence and radiation necrosis is critical for the management of patients suspected of glioma recurrence following radiation therapy. This study ...

Objective: To improve and validate a convolutional neural network (CNN)-based model for the automated scoring of nail psoriasis severity using the modified Nail Psoriasis Severity Index (mNAPSI) with ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--AttackIQ ®, the leading vendor of Adversarial Exposure Validation (AEV) solutions and founding research partner of the MITRE Center for Threat-Informed Defense ...

ABSTRACT: Abstracting eye models from MRI images is critical in advancing medical imaging, particularly for clinical diagnostics. Current methods often struggle with accuracy and efficiency, ...