5 papers
The Case for a Horizontal Federated AI operating System for Telcos
Sebastian Barros
As artificial intelligence capabilities rapidly advance, Telco operators face a growing need to unify fragmented AI efforts across customer experience, network operations, and serv…
RAN Cortex: Memory-Augmented Intelligence for Context-Aware Decision-Making in AI-Native Networks
Sebastian Barros
As Radio Access Networks (RAN) evolve toward AI-native architectures, intelligent modules such as xApps and rApps are expected to make increasingly autonomous decisions across sche…
Trusted Identities for AI Agents: Leveraging Telco-Hosted eSIM Infrastructure
Sebastian Barros
The rise of autonomous AI agents in enterprise and industrial environments introduces a critical challenge: how to securely assign, verify, and manage their identities across distr…
Proof of Humanity: A Multi-Layer Network Framework for Certifying Human-Originated Content in an AI-Dominated Internet
Sebastian Barros
The rapid proliferation of generative AI has led to an internet increasingly populated with synthetic content-text, images, audio, and video generated without human intervention. A…
Solving AI Foundational Model Latency with Telco Infrastructure
Sebastian Barros
Latency remains a critical bottleneck for deploying foundational artificial intelligence (AI) models, such as large language models (LLMs), in customer-facing, real-time applicatio…