MLCommons announced new results for its MLPerf Inference v5.0 benchmark suite, which delivers machine learning (ML) system ...

Memory retention and learning capacity are also on the rise, with lesson recall improving from 71.4 percent to 77 percent and the ability to learn new material jumping from 88.1 percent to 92.5 ...

However, one of the most pressing challenges lies in making sense of the complex metrics that emerge from AI and machine learning processes. Gathering and storing data is straightforward, but ...

and audio generative machine learning models in the near future. The speed of innovations in GenAI is so high that its governance is a big challenge for regulators and policymakers in the public ...

This paper introduces the Interactive Machine Learning Metric (IMLM), a new unified evaluation metric that makes the combination of performance and annotation cost for binary classification tasks far ...

To address these issues, we propose a novel metric-based meta-learning relation network designed for few-shot bearing fault diagnosis across diverse domains. This method directly targets an industrial ...

Galileo's new "foundation model" platform, Luna, has interesting features: auto-generated custom metrics, and their variation on reinforcement learning, "continuous learning with human feedback" (CHLF ...

"Litmus Automation ranked first overall, leading in connectivity and deployment criteria for innovation, along with high scores in scalability and time-to-value," states James Iversen, Industrial ...

Potential participants will be given time to read the participant information sheet before deciding whether ... 44 The performance metrics will include the common machine learning metrics such as AUC ...