The Consumer Technology Association (CTA) has released a new artificial intelligence standard that requires model developers to meet specific accuracy and explainability requirements for pre-market ...
Abstract: This paper develops a personalized federated learning-based distributed model predictive control (PFL-DMPC) method with predictive error compensation (PEC ...
Background: Ultrasound-guided vacuum-assisted breast biopsy (VABB) has become the standard minimally invasive procedure for diagnosing and treating benign breast lesions. Despite its widespread ...
School of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China Introduction: Postpartum depression (PPD) is a significant mental health concern affecting ...
Abstract: Aiming to address the lack of effective parameter-tuning strategies for model-free predictive controllers, this letter proposes an online self-learning approach using a tiny neural network.
dots.ocr is an open-source vision-language transformer model developed for multilingual document layout parsing and optical character recognition (OCR). It performs both layout detection and content ...
The Cleveland Clinic is partnering with San Francisco–based startup Piramidal to develop a large-scale AI model that will be used to monitor patients’ brain health in intensive care units. Instead of ...
Objective: We aimed to construct and validate a predictive model for postoperative delirium state in older ICU patients, providing timely and effective early identification of high-risk individuals ...
To drive growth, companies should transform customer support from reactive to predictive and proactive. Using foresight, ethical data and strategic alignment can turn customer experience into a key ...
The Hailo Model Zoo GenAI is a curated collection of pre-trained models and example applications optimized for Hailo's AI processors, designed to accelerate GenAI application development. It includes ...