AUDEAMUS INTELLIGENCE
Working guides and practical tools across the three Group practices. Separate a current deployment question from an emerging technology scenario, and an observed result from an assumption.
THE WEEKLY READING DESK
Dated research updates, original sources and explicit evidence limits. Choose a subject to read its latest edition or browse earlier reports.
The clearest deployment lesson comes from measured Starlink service: local network policy can dominate the customer experience. New work also improves how researchers characterize AI traffic for 6G and design efficient MIMO receivers. These findings justify better tests and targeted trials; they do not establish a case for broad infrastructure replacement.
Read this weekly report ↗Download Telecommunications PDF ↓For SMB clients, the next agent pilot should prove that a defined task gets done at an acceptable cost. For conversational tutoring, pair review of learner questions with independent checks of understanding. Both services need a clear test of whether the help actually worked.
Read this weekly report ↗Download Applied AI PDF ↓October 30-November 6, 2026. Three new preprints met the relevance, date, and evidence checks. The strongest result uses evidence-driven scheduling to detect brief human motion with fewer sensing transmissions. Two hardware-oriented studies show that useful motion features can come from fixed 60-GHz communication beams and that a switched four-chain Wi-Fi array may approach an eight-channel reference in simulation. No material standards or regulatory update was verified this week. The commercial signal is lower-complexity sensing; the privacy implication is that lighter sensing paths make continuous ambient inference easier to embed and harder to notice.
Read this weekly report ↗Download Wi-Fi Sensing & Privacy PDF ↓01 / THE LIBRARY
A practical evidence checklist for comparing network approaches without confusing a roadmap with a deliverable service.
Read the guide ↗One application of connectivity options work: documenting a community’s requirements and provider tradeoffs.
Read the guide ↗02 / THE LIBRARY
Define a testable AI opportunity in planning, deployment, service delivery or customer care.
Read the guide ↗Check time, service quality and handoffs before extending an operational AI pilot.
Read the guide ↗03 / THE LIBRARY
Separate current requirements, proposed changes and capital assumptions in a source-backed decision register.
Read the guide ↗Labs pursues experiments beyond a fixed practice brief. Its working notes show how questioning an assumption can change the problem.
Read the Labs notebook ↗The tools are ungated planning aids, not validated diagnostics. Entries stay in the current page; nothing is saved or transmitted.