arXiv:2609.27337v1 Announce Type: cross Abstract: Open RAN (O-RAN) slicing xApps must adapt resource allocations to changing channel conditions and…
Category: AI
AutoScheduler launches warehouse app builder for logistics teams
AutoScheduler has launched its warehouse app builder to let logistics teams build custom tools directly from live facility data. The new software module…
Geometry-Conditioned Visual Place Recognition in Natural Environments
arXiv:2609.27370v1 Announce Type: cross Abstract: Visual Place Recognition (VPR) in natural environments remains challenging due to repetitive vegetation,…
Accelerating vision-language models with LFM2.5-VL-DSpark
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: Accelerating vision-language models with LFM2.5-VL-DSpark
TechCrunch Disrupt 2026: Cal AI’s Zach Yadegari on how to create viral growth and capitalize on it
Zach Yadegari joins the Builders Stage at TechCrunch Disrupt 2026 to share how he capitalized on viral growth. Save up to $200 before September 25. Save…
Beyond the Illusion of Power: Calibrating Quasi-Experiments in Observational IS
arXiv:2609.27299v1 Announce Type: cross Abstract: Information systems (IS) researchers increasingly use quasi-experimental methods such as…
NVIDIA Introduces SoL-Pi: Auto-Research Loops That Cut Coding Agent Token Traffic by Up to 49%
NVIDIA researchers have released SoL-Pi, 4 harness mechanisms for the open-source Pi coding agent, discovered by an AI running auto-research loops across…
KITE: KV-Invariant Transformer Expansion for Efficient Agentic LLM Scaling
arXiv:2609.27294v1 Announce Type: cross Abstract: Scaling a language model is not only a question of final quality: the architectural choice determines…
MCP Explained in 5 Minutes
A visual guide to MCP that explains how it works, how to use it with Claude Code, Tavily, GitHub, and Playwright, and what is new through simple diagrams…
Turning Safety into Competence: Minimally Exploitable Robot Policies via Safety-Filtered Reinforcement Learning
arXiv:2609.27312v1 Announce Type: cross Abstract: Robots deployed for competitive tasks must outmaneuver their opponents without sacrificing safety.…