arXiv:2608.17135v1 Announce Type: cross Abstract: Tensor networks are powerful formats for compressing large-scale data. However, their application to…
Tag: AI
Anthropic Run-Rate Revenue Hits $65 Billion as IPO Looms
Anthropic’s annualized revenue run rate topped $65 billion at the end of July 2026, Bloomberg reported on August 17, 2026 — a figure Reuters separately…
Authorization Before Context: A Model-Neutral Audience Boundary Against Cross-Audience Memory Leakage in Agentic Systems
arXiv:2608.17148v1 Announce Type: cross Abstract: A personal language agent learns a fact from one audience and may later place it in the prompt it…
Anthropic passes OpenAI on revenue for the first time
Anthropic has passed OpenAI on revenue for the first time in the AI race. The article Anthropic passes OpenAI on revenue for the first time appeared first…
Structured Driving-State Narratives for Small Language Model-Based GNSS Spoofing Detection
arXiv:2608.17092v1 Announce Type: cross Abstract: Autonomous vehicles (AVs) depend on reliable Global Navigation Satellite System (GNSS) positioning.…
YILDIZ-VPR: A Novel Dataset with Dense Coverage Under Diverse Environmental Conditions for Visual Place Recognition
arXiv:2608.17033v1 Announce Type: cross Abstract: Visual Place Recognition (VPR) aims to recognize the location of a query image by comparing it with a…
The AI Era Is Increasing Demand for People, Not Eliminating It
Companies across industries are working to make their internal processes more efficient. As a result, we’ve seen the technology become the scapegoat for a…
Institution-Specific LLM Prompting Recovers PHI That De-identification Systems and Their Gold Standards Both Miss
arXiv:2608.17051v1 Announce Type: cross Abstract: Secondary use of electronic health records requires de-identification, yet existing systems miss…
AI isn’t close to curing cancer. This startup says it knows what it will take.
It’s the data, stupid.
Cross-Model Memory Transfer via Target-Side Reader Adaptation
arXiv:2608.17050v1 Announce Type: cross Abstract: Methods for improving knowledge use in large language models typically fall into two regimes.…