ΑΙhub.org
Towards greener and sustainable cities – an event from the Alan Turing Institute
Earlier this summer, the Alan Turing Institute hosted a hybrid event on developing greener and more environmentally friendly cities using urban data analytics. All of the talks are now available to watch on YouTube.
The research presented by the speakers showcased a variety of methodologies. Below, we highlight the two talks where machine learning methods were used.
Using deep learning to identify (urban) form and function in open data satellite imagery
Martin Fleischmann, University of Liverpool
Understanding building energy efficiency with administrative and emerging urban big data by deep learning in Glasgow
Maoran Sun, Massachusetts Institute of Technology
AIhub Editor
is dedicated to free high-quality information about AI.
AIhub Editor
is dedicated to free high-quality information about AI.
AIhub is supported by:
Related posts :
Keeping learning-based control safe by regulating distributional shift
We propose a new framework to reason about the safety of a learning-based controller with respect to its training distribution.
30 September 2022, by
BAIR blog
Bipedal robot achieves Guinness World Record in 100 metres
Cassie the robot, developed at Oregon State University, records the fastest 100 metres by a bipedal robot.
29 September 2022, by
Oregon State University
#IJCAI2022 distinguished paper – Plurality veto: A simple voting rule achieving optimal metric distortion
How can we create a voting system that best represents the preferences of the voters?
28 September 2022, by
Fatih Erdem Kızılkaya
AIhub monthly digest: September 2022 – environmental conservation, retrosynthesis, and RoboCup
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
27 September 2022, by
Lucy Smith
The Machine Ethics Podcast: Rights, trust and ethical choice with Ricardo Baeza-Yates
Host Ben Byford chats to Ricardo Baeza-Yates about responsible AI, the importance of AI governance, questioning people's intent to create AGI, and more.
26 September 2022, by
The Machine Ethics Podcast
Recurrent model-free RL can be a strong baseline for many POMDPs
Considering an approach for dealing with realistic problems with noise and incomplete information.
23 September 2022, by
ML@CMU