Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

As AI moves into production, enterprises need data that remains open, governed, and resilient as it flows across engines, formats, and environments. To address this need, Snowflake is expanding how ...

Percona recently announced OpenEverest, an open-source platform for automated database provisioning and management that ...

Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for ...

Chainalysis launches Workflows, a no-code tool automating blockchain data analytics without requiring SQL or Python expertise.

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Abstract: Stochastic simulations require large amounts of time to generate enough trajectories to attain statistical significance and estimate desired performance indices with satisfactory accuracy.

ClickFix attacks have evolved to feature videos that guide victims through the self-infection process, a timer to pressure targets into taking risky actions, and automatic detection of the operating ...

Tutorials in the Au community journals are free-to-read resources for researchers, students, and instructors in advanced under-graduate or graduate courses, to learn more about new or unfamiliar ...

Abstract: SQL Injection Attacks (SQLIA) are still a significant security vulnerability, targeting issues in database query validation for intruder access. The research proposes a graph-based ...

In this tutorial, we delve into building an advanced data analytics pipeline using Polars, a lightning-fast DataFrame library designed for optimal performance and scalability. Our goal is to ...