National Mortgage Professional

The Algorithmic Servicer

Artificial intelligence is no longer an emerging technology in mortgage servicing. For many servicers, it has already become ...

AI can quickly spot and catalog lunar craters, but accuracy remains a major problem

The Moon’s cratered surface may seem like the perfect place to hand repetitive work to machines. There are millions of impact ...
BMJ Open

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findin…

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
Hosted on MSN

LASG equips PHCs with automated laboratory machines

The Lagos State Primary Health Care Board has commenced the distribution of automated medical laboratory equipment to selected primary healthcare facilities across the state as part of efforts to ...
The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
IEEE

Smart Aquaculture: Integrating Computer Vision and IoT for Automated Crayfish Health Assessment via Federated Learning

Abstract: The rising global demand for aquaculture products necessitates sustainable alternatives to traditional farming methods that often rely on manual monitoring prone to errors and inefficiencies ...
IEEE

Continuously Improved Reinforcement Learning for Automated Driving

Abstract: Reinforcement Learning (RL) offers a promising solution to enable evolutionary automated driving. However, conventional RL methods often struggle with risk performance, as updated policies ...