In sum, the data corroborate Snowflake’s assertion that its revamped go-to-market engine is landing meaningful net-new ...

Abstract: Machine learning (ML) is ever more frequently used as a tool to ... In this article we propose the use of binary decision diagrams (BDDs) as an interpretable ML model. BDDs can be deemed as ...

We also highlight an analysis of whether flying has become less safe, an investigation into a Philippine reforestation ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Research shows the effectiveness of intensive, individualized instruction, known as high-impact tutoring. Unlike in other states, California districts still have money to pay for it. EdSource · ...