From One Accelerator To Another: A Q&A With Google.org’s Jen Carter

In Forbes, Fast Forward's Shannon Farley interviews Google.org’s Jen Carter about how an emerging class of AI-powered ...
IEEE

An Iterative Greedy Algorithm With Q-Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling

Abstract: The distributed no-idle permutation flowshop scheduling problem (DNIPFSP) has widely existed in various manufacturing systems. The makespan and total tardiness are optimized simultaneously ...
InfoWorld

AI-assisted software development with Amazon Q Developer

Amazon Q Developer is a useful AI-powered coding assistant with chat, CLI, Model Context Protocol and agent support, and AWS ...
IEEE

A Q-Learning Novelty Search Strategy for Evaluating Robustness of Deep Reinforcement Learning in Open-World Environments

Abstract: Despite substantial progress in deep reinforcement learning (DRL), a systematic characterization of DRL agents’ robustness to unexpected events in the environment is relatively understudied.