Artificial intelligence startup OpenEvidence banked a $210 million series B round as it looks to expand its strategic content ...

The proliferation of open-source and proprietary software has revolutionized development, enabling rapid innovation and ...

Cybersecurity researchers have disclosed multiple security flaws impacting open-source machine learning (ML) tools and frameworks such as MLflow, H2O, PyTorch, and MLeap that could pave the way for ...

Here, we present autoMEA, software for machine learning-based automated burst detection in MEA datasets. We exemplify autoMEA efficacy on neuronal network activity of primary hippocampal neurons from ...

Databases are fundamental to training all sorts of machine learning and artificial intelligence (AI) models. Over the last two decades, there has been an explosion of datasets available on the market, ...

Repository with the code for the experiments of the paper **Lithology classification based on well log data: A benchmark for machine learning models** - uai-ufmg/well-log-lithology-classification ...

The Bonsai.ML project is a collection of packages built to target the Bonsai-Rx ecosystem, providing reactive infrastructure for machine learning operations. In the Bonsai.ML - Examples repo, we ...

Meet Feast: a customizable operational data system designed to meet the challenges of managing and serving machine learning features. Feast offers a comprehensive solution by managing an offline store ...