Antennas and Propagation TN Events

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Recommended events from around The IET

Online

Where Digital Meets Nuclear: Leading Transformational Change

Discover how digital transformation drives change in asset-intensive organisations, combining technology, expertise, collaboration and effective change management to deliver safe, compliant outcomes.
Speaker:
Amy Geir
Date/Time:
Wednesday 28th October 2026 @ 12:00 PM
Venue:
Online via Zoom
Hosted By:
Nuclear Engineering TN
Online

Automation & the Future of Manufacturing: A 25-Year Outlook

As automation technologies evolve at breakneck speed, the manufacturing sector stands on the brink of a transformative era. This forward-looking webinar explores how robotics, AI, machine learning, and smart systems will reshape manufacturing over the next quarter-century from factory floors to global supply chains.
Speaker:
Various
Date/Time:
Wednesday 30th September 2026 @ 12:30 PM Local time (BST/CET/ UTC +1 hours)
Venue:
Online via Zoom
Hosted By:
Manufacturing TN
In-Person

Visit to Penicuik Papermaking Heritage Museum

Learn why Penicuik was once the papermaking capital of the world, track the rise and fall of the mills along the River Esk, and view the many papermaking exhibits. Visitors can also learn how paper is made and then make a sheet themselves.
Speaker:
Volunteers from the Penicuik Development Trus
Date/Time:
Wednesday 7th October 2026 @ 1:45 PM
Location:
Penicuik Papermaking Heritage Museum, Penicuik, EH26 8LL
Hosted By:
IET Scotland South East
**** Only 3 places left - book now! ****
In-Person

Beyond the Hype - Navigating the Invisible Engineering Risks of Industrial AI Use

The integration of AI across Health Care, Energy and Manufacturing has moved past the pilot phase and into mission-critical infrastructure.While high - level benefits are heavily celebrated they often obscure severe operational risks. Traditional software engineering treats code as a static,deterministic asset. Machine learning systems,however,are probabilistic,volatile and highly sensitive to environmental context. This presentation pulls back the curtain on hidden technical dangers of deployed AI systems that sit outside the awareness of typical non-specialist stakeholders. The mechanics of 'data drift' - the process by which live AI models silently degrade over time without triggering system alerts and the optimization hazards of 'reward hacking' will be examined. Also covered will be the security vulnerabilities of poisoned data pipelines,human-factor risks of automation bias and the compliance challenges posed by 'black-box' uninterpretability.
Speaker:
Dr David A Rivkin PhD
Date/Time:
Wednesday 11th November 2026 @ 5:30 PM
Location:
Napier University Merchiston Campus, Edinburgh, EH10 5DT
Hosted By:
IET Scotland South East