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Study uses machine learning to map pH-dependent performance of tin catalysts
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
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Can Machine Learning Help Keep the System Secure?: Power Systems and Change Addressing the Increasing Complexity and Uncertainty During the Energy Transition - IEEE Xplore
Abstract: Power systems worldwide are going through unprecedented changes. Power generators have become much smaller and power systems much more complex. Thirty years ago, each country had only a few ...
BW Converting’s Machine Learning Project Selected for New Microsoft AI Co-Innovation Lab in Milwaukee
A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...
Exploring interpretable machine learning
I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...
Utilities are tiptoeing into AI as climate change and data center growth add stress to the energy grid
Utilities are cautiously embracing AI for predictive maintenance and fieldwork support as data centers and climate change ...
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Revealing the Effects of Data Heterogeneity in Federated Learning Regression Models for Short-Term Solar Power Forecasting - IEEE Xplore
Accurate short-term power forecasting is crucial for the successful commercialization of solar energy, helping to prevent financial losses in energy markets. Federated learning (FL) offers a promising ...
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The 10 Coolest Big Data Tools Of 2025 (So Far)
The 10 coolest big data tools of 2025 so far include Databricks Lakebase, SAP Business Data Cloud and Snowflake Intelligence.