We consider accelerating machine learning (ML) inference queries on unstructured datasets. Expensive operators such as feature extractors and classifiers are deployed as user-defined functions (UDFs), ...

This article describes how the Open Neural Network Exchange (ONNX) can help optimize the inference of your machine learning models. Inference, or model scoring, is the process of using a deployed ...

Tech giants are investing heavily in machine learning. In 2019, Microsoft invested in 11 artificial intelligence (AI) startups, with $1 billion for OpenAI alone. And they aren’t even the biggest ...

Abstract: Predicting query execution time is useful in many database management issues including admission control, query scheduling, progress monitoring, and system sizing. Recently the research ...

An error rate of just Θ(n⁻²) previously left open questions regarding quantum optimisation’s limits over ellipsoids. Now, a ...

At the beginner level, we only focus on just writing and running the SQL queries. We do not bother about how much time it takes to execute or whether it can handle millions of records. But at the ...