arXiv:2608.10176v1 Announce Type: new Abstract: Public service chatbots are expected to deliver recommendations from an underlying public service…
Tag: AI
Newsom Orders AI Cyber Defense Program for California Critical Infrastructure
Governor Gavin Newsom on August 10, 2026 directed California’s state agencies to stand up what his office calls a first-in-the-nation AI Cyber Defense…
Mitigating Bus Bunching with Reinforcement Learning Enhanced by Semantic Stop Embedding
arXiv:2608.10207v1 Announce Type: new Abstract: Bus bunching degrades service regularity and increases passenger waiting in high-frequency transit.…
New Free eBook: Understanding Agentic AI, an Executive Briefing
Written for CEOs, CTOs, CIOs, and technology executives, our new free ebook “Understanding Agentic AI: An Executive Briefing” walks through the components…
Generating Attacks for LLMs with GFlowNets
arXiv:2608.10171v1 Announce Type: new Abstract: The rapid advancement of Large Language Models (LLMs) has facilitated their ubiquitous integration into…
The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI
arXiv:2608.10153v1 Announce Type: new Abstract: Enterprises are deploying autonomous AI agents faster than they can govern them, and prevailing approaches…
Automating and Scaling Behavioral Scientific Research on AI Agents
arXiv:2608.10030v1 Announce Type: new Abstract: As AI agents are increasingly deployed in complex environments, understanding their behaviors becomes…
MESA:Task-Adaptive Multi-Structure Evidence Selection for Long-Horizon Agent Memory
arXiv:2608.10108v1 Announce Type: new Abstract: Long-horizon agents accumulate trajectories spanning hundreds of interleaved reasoning, action, and…
CHORUS: Complementary Experts for High-Coverage Testbench Stimulus Generation
arXiv:2608.10090v1 Announce Type: new Abstract: Large language models (LLMs) have advanced code generation, where executable feedback provides a more…
Meta AI Releases Muse Glimmer: A 30B Open-Weights Agentic Model That Runs on One Consumer GPU
Meta’s Muse Glimmer is a 30B open-weights agentic model under Apache 2.0. It fits 24 GB VRAM and decodes 3.1x faster with DFlash speculation.