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7 results for “data collection”
The Race between Agentic AI Capabilities and Data Quality Control in Online Surveys
A research paper on arXiv investigates how agentic AI systems can bypass standard attention checks in online surveys by exploiting structural web vulnerabilities, and proposes DOM metadata obfuscation as a defensive countermeasure.
Sep 1, 2026
Where should the Travel Rule stop when someone is sending crypto to their own wallet?
The article identifies a regulatory ambiguity in crypto's Travel Rule implementation when users send funds to their own self-custodied wallets, highlighting jurisdictional divergence on whether proof-of-ownership suffices or full counterparty data is required.
Aug 28, 2026
Microsoft Links 30+ Rotating Domains to MacSync Stealer Infrastructure
Microsoft Defender Experts attributed over 30 rotating domains to the MacSync Stealer malware infrastructure by correlating endpoint and network behavioral signals across infrastructure changes.
Aug 19, 2026
Apple ordered to stop scaring iPhone and iPad users away from third-party apps
Apple must revise its App Tracking Transparency (ATT) consent prompts after Germany's Federal Cartel Office ruled the design unfairly disadvantages third-party apps by steering users toward denying data access, triggering enforcement under EU Digital Markets Act gatekeeper obligations.
Aug 17, 2026
V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control
Researchers introduced V-Simba, a new visual reinforcement learning architecture that improves sample efficiency and computational performance on standard robotics benchmarks without requiring algorithmic overhauls.
Aug 11, 2026
AI in battlefield intelligence: Expanding the speed of decision-making
A government release highlights AI's role in accelerating battlefield intelligence processing to improve military decision speed and situational awareness.
Jul 11, 2026
Making Failure Safe: A Constrained, Verifiable Agent Framework for Open-Web Data Collection
Researchers propose a constrained, verifiable agent framework that replaces free-form LLM-generated web scrapers with typed JSON collector configurations to improve reliability, determinism, and auditability in open-web data collection.
Published Jul 2, 2026 · Analyzed Jul 5, 2026