nOps rebuilt its Clara FinOps AI agent on Amazon Bedrock AgentCore, replacing a self-managed Amazon EKS stack running LangChain and LangGraph. The move…
Category: AI
HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation
arXiv:2608.06791v1 Announce Type: cross Abstract: Application-specific FPGA accelerators offer substantial performance and energy-efficiency gains across…
Meta’s new Glimmer AI model offers a hint at Zuckerberg’s personal intelligence vision
Meta’s new open-weight Muse Glimmer model offers a glimpse of Mark Zuckerberg’s personal superintelligence vision, as well as the emerging divide between…
Hidden Gauge Controls Feature Specialization in ReLU Networks
arXiv:2608.06766v1 Announce Type: cross Abstract: Training changes a network’s predictions while allocating task-relevant structure across its internal…
Dueling World Models: Advantage-Style Action Channels for Common-Mode Distractor Rejection
arXiv:2608.06706v1 Announce Type: cross Abstract: Latent world models plan by predicting future states from an action, but when a scene contains motion…
Scalable Long-Horizon Planning with Staggered Updates for Lifelong MAPF
arXiv:2608.06702v1 Announce Type: cross Abstract: Lifelong Multi-Agent Path Finding (LMAPF) requires generating collision-free paths for large agent…
Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical–Machine-Learning Predictors
arXiv:2608.06723v1 Announce Type: cross Abstract: The rapid scaling of Large Language Models (LLMs) has significantly increased computational cost, energy…
KReF: Training-Free Retrieval for Long-Term Time-Series Forecasting and Predictive Uncertainty
arXiv:2608.06748v1 Announce Type: cross Abstract: Probabilistic long-term time-series forecasting commonly relies on trained models. Training-free…
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…
Progressive Content Refinement with Decaying Reward Joint LinUCB
arXiv:2608.06750v1 Announce Type: cross Abstract: Iterative refinement has significantly enhanced Large Language Model (LLM) performance; however,…