Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...

Traditional job scheduling relied heavily on time-based execution, with cron jobs and hourly synchronisation being common in ...

Combining the creativity of artificial intelligence with the rigor of formal specification methods and the power of formal ...

Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving accuracy and reducing false trips, for edge ...

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via cosine similarity — is effective for unstructured semantic search. However, for ...

In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.

Abstract: This tutorial aims to introduce Event Graphs (EGs), invented 40 years ago by Lee Schruben to allow eventbased modeling of discrete dynamic systems. Their simplicity and naturalness in ...

Work is pushing AI pretty hard and some people are chewing up tokens like crazy. We had a session where one coworker showed his cursor setup and the different MCP servers he's tied into to automate ...