IEEE

An Efficient Multi-threaded Collaborative Filtering Approach in Recommendation System

Abstract: Recommender systems are a subset of information filtering systems designed to predict and suggest items that users may find interesting or relevant based on their preferences, behaviors, or ...
IEEE

A Learning-Based Two-Stage Multi-Thread Iterated Greedy Algorithm for Co-Scheduling of Distributed Factories and Automated Guided Vehicles With Sequence-Dependent Setup Times

Abstract: Automated guided vehicles are widely utilized in the real production environment for tasks such as job transfer and inter-factory collaboration, yet they remain relatively underexplored in ...
note

[Backend Development] Advanced Multi-threaded Coordination and Wait Control to Avoid Wasting System Resources

In system development using Java, multi-threaded programming, which executes multiple processes in parallel, is an essential technique for dramatically improving application processing efficiency.
GitHub

build-loop

Build-loop runs your code change through five phases — plan, execute, review, iterate — plus a mandatory Learn step that runs after every build. It splits the work into safe parallel chunks where it ...

The Agentic Reckoning: Enterprise AI organizations have a runtime problem, not a model problem — and most are building the wrong solution

VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most teams are patching with retries instead of fixing.
GitHub

TVM FFI: Open ABI and FFI for Machine Learning Systems

Apache TVM FFI is an open ABI and FFI for machine learning systems. It is a minimal, framework-agnostic, yet flexible open convention with the following systems in mind: These enable broad ...