We’ve gotten pretty good at building machine learning models. From legacy platforms like SAS to modern MPP databases and Hadoop clusters, if you want to train up regression or classification models, ...

SUNNYVALE, Calif.--(BUSINESS WIRE)--ParallelM, the leader in MLOps, today released a new version of MCenter that includes REST-based serving using Kubernetes to create a no-code, autoscaling ...

Titan Space Technologies has successfully deployed and run a suite of machine learning models on the HPE Spaceborne Computer-2, an edge computing and AI system aboard the International Space Station ...

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Researchers have developed a machine learning (ML) model that can accurately predict risk of posttraumatic stress disorder (PTSD) prior to United States military deployment, according to a study ...

Dedeepya Yarra's interdisciplinary research interest is the intersection of machine-learning research and cybersecurity, ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

SAN FRANCISCO--(BUSINESS WIRE)--Iterative, the MLOps company dedicated to streamlining the workflow of data scientists and Machine Learning (ML) engineers, today launched Machine Learning Engineering ...

Zehra Cataltepe is the CEO of TAZI.AI an adaptive, explainable Machine Learning platform. She has more than 100 papers and patents on ML. While many believe that growth comes from acquiring new ...

Regulatory and legacy system constraints hampering machine learning deployment UK financial firms blame a lack of regulatory clarity and legacy systems for constraining deeper deployment of machine ...