Watching last week’s Grok 4 release, one statistic stood out to us. XAI said it spent 10 times as much computational power on ...

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The main objective of this paper is to implement a transfer learning model for predicting anomalies in online streaming data. Streaming data is a continuous data generation and transmission model with ...

With the continuous generation of huge volumes of streaming data, streaming data regression has become more complicated. A regressor that predicts two or more outputs, i.e., multioutput regression, is ...

When it comes to live stream monitoring and analytics, the problem is usually having too much data rather than not enough, along with identifying the key data points to pinpoint problems and optimize ...