Colloquia from science leaders and technology innovators
Lakeside Labs
21 episodes
3 months ago
In this talk Prof. Eiben presents a vision about the upcoming breakthrough in artificial evolution: animate artefacts that (self-)reproduce in physical spaces. In other words, he envision the ``Evolution of Things'', rather than just the evolution of digital objects, leading to a new field of Embodied Artificial Evolution. After presenting this vision he elaborate on some of the technical challenges and relate the main algorithmic/technical requirements to the current know-how in EC. Finally, he will speculate about possible applications, their societal impacts, and argue that these developments will radically change our lives.
More information: http://www.cs.vu.nl/~gusz/ and http://www.lakeside-labs.com/news/news-detail/article/colloquium-8/
All content for Colloquia from science leaders and technology innovators is the property of Lakeside Labs and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In this talk Prof. Eiben presents a vision about the upcoming breakthrough in artificial evolution: animate artefacts that (self-)reproduce in physical spaces. In other words, he envision the ``Evolution of Things'', rather than just the evolution of digital objects, leading to a new field of Embodied Artificial Evolution. After presenting this vision he elaborate on some of the technical challenges and relate the main algorithmic/technical requirements to the current know-how in EC. Finally, he will speculate about possible applications, their societal impacts, and argue that these developments will radically change our lives.
More information: http://www.cs.vu.nl/~gusz/ and http://www.lakeside-labs.com/news/news-detail/article/colloquium-8/
Evolving, Training and Designing Neural Network Ensembles
Colloquia from science leaders and technology innovators
53 minutes 46 seconds
14 years ago
Evolving, Training and Designing Neural Network Ensembles
Colloquium with Xin Yao
Prof. Xin Yao CERCIA, School of Computer Science, University of Birmingham, UK
Previous work on evolving neural networks has focused on single neural networks. However, monolithic neural networks are too complex to train and evolve for large and complex problems. It is often better to design a collection of simpler neural networks that work cooperatively to solve a large and complex problem.
Colloquia from science leaders and technology innovators
In this talk Prof. Eiben presents a vision about the upcoming breakthrough in artificial evolution: animate artefacts that (self-)reproduce in physical spaces. In other words, he envision the ``Evolution of Things'', rather than just the evolution of digital objects, leading to a new field of Embodied Artificial Evolution. After presenting this vision he elaborate on some of the technical challenges and relate the main algorithmic/technical requirements to the current know-how in EC. Finally, he will speculate about possible applications, their societal impacts, and argue that these developments will radically change our lives.
More information: http://www.cs.vu.nl/~gusz/ and http://www.lakeside-labs.com/news/news-detail/article/colloquium-8/
