Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...
Abstract: Solid-state transformer (SST)-based power substations have emerged as a pivotal innovation for integrating distributed generation and energy storage systems within modern grid. However, SSTs ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
The retail industry is working to catch up on generative AI as the technology evolves at a rapid pace. While plenty of companies are using it to drive efficiency, it’s also presented a change to how ...
ABSTRACT: This paper investigates the interplay between artificial intelligence (AI) integration and capital solvency ratios within financial institutions, combining theoretical frameworks with ...
Too many companies collect feedback and stop there. Learn why closing the loop is essential for retention, insights and customer trust. Closing the loop on customer feedback is fundamental: if a ...
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