The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
InfoWorld

AWS launches Flexible Training Plans for inference endpoints in SageMaker AI

The option to reserve instances and GPUs for inference endpoints may help enterprises address scaling bottlenecks for AI ...
IEEE

Multidirectional Bending Sensor Using Capillary Fibers and Machine Learning for Real-Time Applications

Abstract: In this article, the design and implementation of a bidirectional curvature sensor based on a fiber-optic interferometer are presented. The sensor structure was fabricated by fusing a ...
IEEE

Cost-Effective Scaling of Machine Learning Model using Serverless Architecture

Abstract: Machine learning algorithms are resource intensive processes that require large computing resources. The increasing demand for these resources has highlighted the need for a cost-effective ...

You Must Address These 4 Concerns To Deploy Predictive AI

Predictive AI routinely fails to deploy, so data scientists are spearheading a movement to focus on its business value. But ...