EurekAlert!

Multimodal imaging-based cerebral blood flow prediction model development in simulated microgravity

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...
NetEye Blog

Root cause analysis with Elastic ML and Alyvix

The Elastic Stack integrated with NetEye offers Machine Learning (ML) jobs that assist in analyzing observability data. These ...
IEEE

StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests

Abstract: The life cycle of machine learning (ML) applications consists of two stages: model development and model deployment. However, traditional ML systems (e.g., training-specific or ...
IEEE

Application of Machine Learning in FPGA EDA Tool Development

Abstract: With the recent advances in hardware technologies like advanced CPUs and GPUs and the large availability of open-source libraries, machine learning has penetrated various domains, including ...