InfoQ

Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, ...
InfoQ

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
IEEE

Constraints Driven Safe Reinforcement Learning for Autonomous Driving Decision-Making

Abstract: Although reinforcement learning (RL) methodologies exhibit potential in addressing decision-making and planning problems in autonomous driving, ensuring the safety of the vehicle under all ...
IEEE

Constrained Containment Control for Multiagent Systems With Possible Empty Intersection of Position Constraints

Abstract: The objective of this article is to study containment control problems for multiagent systems with position constraints and switching topologies. The first contribution is to find conditions ...