Other Edinburgh events

Adventures with a Robot

Please note this event will be held in a cellar bar accessed by a narrow staircase and there is no step-free access
Past event - 2019
Wed 22 May Doors open at 7pm
Event runs 7:15 to 9:00
32Below, 32B West Nicholson Street,
Edinburgh EH8 9DD
Sold Out!
*THIS EVENT HAS MOVED FROM THE TRON TO 32 BELOW*

Robots combined with artificial intelligence (AI) are the future. Edinburgh's own Centre for Robotics is leading the field, with world-leading research across a variety of robotics projects. Join us for this fascinating evening on the future of robotics and AI. Should we regulate artificial intelligence? If we regulate now, will it impede technological innovation? And what can insects teach us about advanced robotics? Grab a pint and relax, this evening has a lot in store!

Are robots bug-ging us?

Professor Barbara Webb (Professor of Robotics at the University of Edinburgh)
Recent advances in robotics are impressive, but even 'simple' animals such as insects, with tiny brains, can outperform robots in many domains, e.g., navigating through the natural world. So what can we learn from insects for robotics?

Can we make robots smart and safe at the same time?

Dr. Subramanian Ramamoorthy (Reader, The University of Edinburgh)
We live in exciting times. Our robots continue to impress us with continually improving capabilities, drawing on recent advances in AI. As these machines become widely adopted, a new question becomes important - can they act safely? In applications like autonomous vehicles and medical robotics, this is the biggest barrier today. We will briefly explore the many facets of this issue, and talk about researchers are addressing them.

Automated Systems and their impact

Dr Vaishak Belle (Chancellor's Fellow/Lecturer, The University of Edinburgh)
Artificial Intelligence (AI) provides many opportunities to improve private and public life, and it has enjoyed significant investment in the UK, EU and elsewhere. Machine learning currently drives applications in computational biology, natural language processing and robotics. However, such a highly positive impact is coupled to a significant challenge: when can we convincingly deploy these methods in our workplace? And, should the automated system be held responsible for the decisions it takes?
Map data © OpenStreetMap contributors.

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