TAD21: Telluride Discussions
This discussion group aims at exploring methodologies for learning AI architectures and links to learning brain architectonics. The discussion group will also link to other NSF AccelNet projects namely Multi-Net a multi-disciplinary center with a focus of network science and possibly to other networks within our own AccelNet project.
This discussion group aims at exploring methodologies for learning AI architectures and links to learning brain architectonics. The discussion group will also link to other NSF AccelNet projects namely Multi-Net a multi-disciplinary center with a focus of network science and possibly to other networks within our own AccelNet project.
Coordinator
Coordinator
Andreas Andreou,
John Hopkins Univ
Current status
Current status
The group is currently being formed
Plan
Plan
Week 1 : Introduction of the discussion topic, 10 minute presentation by invited speakers
Week 2:TBD
Topics
Topics
What is the state of the art in machine learning for AI machines? AutoML, MetaLearning
In what ways current approaches differ from biology and brains?
How do brains develop and what is the role of "life long learning" in biology?
Can technology draw from principles in biology?
Is there future for neuromorphic engineering?
Potential Invitees
Potential Invitees
Joaquin Vanschoren
Google AutoML person
Network Science person (AccelNet)
Participant Preparation
Participant Preparation
TBD