ΑΙhub.org
Engineering Out Loud: S9E1 – the beautiful music of robotics and AI
How do you integrate ethics, policy, and practicality into the design of revolutionary robotics and artificial intelligence systems? Professors Kagan Tumer and Tom Dietterich are collaborating to find out as they help lead the Oregon State Collaborative Robotics and Intelligent Systems Institute.
From the College of Engineering at Oregon State University, this is “Engineering Out Loud” — a podcast telling the stories of how research and innovation at the University is helping change the world. “Engineering Out Loud” Season Nine focusses on robotics and AI, covering topics from from policy and ethics, to programming and practical applications. You can listen to the full series here.
Engineering Out Loud
A podcast from the College of Engineering at Oregon State University
Engineering Out Loud
A podcast from the College of Engineering at Oregon State University
AUAI is supported by:
Related posts :
Towards experiment-guided AlphaFold
Institute of Science and Technology Austria
27 Jul 2026
Researchers enhance Nobel Prize-winning structural prediction model.
AI listens in to help protect wildlife
Horizon
24 Jul 2026
Scientists are using AI systems to help track species and spot ecosystem changes.
How can we characterize consensus in a network of agents?
Nicolas Schwind
23 Jul 2026
Belief Flow Networks give a logic-based way to ask not only whether connected agents will eventually agree on a shared "belief", but which final shared beliefs can emerge.
Anyone can fake a scientific image with AI, tricking even academic journals – and undermining trust in science
The Conversation
22 Jul 2026
The proliferation of AI-generated science images in public spaces is not simply a misinformation problem.
AAAI presidential panel – AI and scientific integrity
Lucy Smith
21 Jul 2026
Watch the next panel discussion in this series from AAAI.
Congratulations to the #ICML2026 award winners
Lucy Smith
20 Jul 2026
Find out which articles have won the outstanding paper, outstanding position paper, and the test-of-time awards.
Interactive world simulator for robot policy training and evaluation
Yixuan Wang
17 Jul 2026
Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.
#ICML2026 social media round-up
AIhub
17 Jul 2026
We take a look at what the participants got up to in Seoul.
