These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...
Abstract: This paper investigates covert prompt transmission for secure and efficient large language model (LLM) services over wireless networks. We formulate a latency minimization problem under ...
The AI world is experiencing a fundamental shift. After years of cloud-centric inference dominated by massive data center GPUs, we’re witnessing an accelerating migration of language models to edge ...
SecureP2P is a peer-to-peer communication system designed with zero-trust security principles. It provides encrypted communication between peers without requiring a central trusted authority. The ...
Apple is testing secure messaging between Android and iOS devices with iOS 26.4, iPadOS 26.4, and macOS Tahoe 26.4. The updates introduce end-to-end encryption (E2EE) for RCS messages, a security ...
Abstract: Although large language models (LLMs) have the potential to automate resource allocation in wireless networks, generating high-precision allocation schemes remains non-trivial for ...
Context: This prototype was inspired by the AnalyticsGPT paper (arXiv:2602.09817) and addresses the question: "What if SciVal exposed an LLM-native API for cross-product research data access?" It ...
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