Arrival: September 21
9:00 -
LOD Opening (Crown room)
9:05 - 9:45
Towards a statistical foundation for machine learning methods (Crown room)
Johannes Schmidt-Hieber
9:45 - 10:30
AI and Data Sciences for Sleep Disorders (Crown room)
Panos Pardalos 
10:30 - 11:15
Coffee break
11:15 -
ACAIN Opening
11:20 - 12:00
Lecture 1/2 “Exploring locomotion control circuits in the spinal cord using biorobots and simulations. Part 1: lamprey and salamander locomotion”
Auke Jan Ijspeert 
12:00 - 12:45
Lecture 1/3 “Reinforcement Learning 1: Psychology and Artificial Intelligence”
Maria K. Eckstein 
12:45 - 14:45
Lunch
14:45 - 15:30
Lecture 2/2 “Exploring locomotion control circuits in the spinal cord using biorobots and simulations. Part 2: mammalian and human locomotion”
Auke Jan Ijspeert
15:30 - 16:15
Lecture 1/3 "An overview of active inference"
Thomas Parr 
16:15 - 17:00
Coffee break
17:00 - 17:45
Lecture 1/2 "Structured Generative Models"
Loic Matthey 
17:45 - 18:30
Lecture 1/3 "Mind-wandering as a window onto spontaneous cognition and creativity"
Alessandro Treves 
18:30 - 19:15
Lecture 2/3 "The dynamics of beliefs"
Thomas Parr
19:15 - 20:00
Lecture 2/3 "Analysing differential cortical contributions to latching dynamics"
Alessandro Treves
20:00 - 21:30
Dinner
9:00 - 9:45
How LLMs might accelerate biomedical discovery and help scale world class healthcare to everyone (Crown room)
Vivek Natarajan
9:45 - 10:30
Algorithmic LLM alignment (Crown room)
Michal Valko
10:30 - 11:15
Coffee break
11:15 - 12:00
Lecture 3/3 "Quantifying the subjective, beyond-Wikipedia experience"
Alessandro Treves
12:00 - 12:45
Lecture 3/3 "Message passing in the brain"
Thomas Parr
12:45 - 14:45
Lunch
14:45 - 15:30
Lecture 1/2 “Introduction to brain-inspired computing”
Melika Payvand 
15:30 - 16:15
Lecture 2/3 “Reinforcement Learning 2: Neuroscience and Cognitive Modeling”
Maria K. Eckstein
16:15 - 17:00
Coffee break
17:00 - 17:45
Lecture 2/2 “What's so hard about model-based agents?”
Loic Matthey
17:45 - 18:30
Lecture 3/3 “Cognitive Modeling with Neural Networks: Theory Discovery Using Novel Methods”
Maria K. Eckstein
18:30 - 19:15
Lecture 2/2 “Brain-inspired computing: Trends, applications, outlook”
Melika Payvand
19:15 - 20:00
Free time
20:00 - 21:30
Dinner
9:00 - 9:45
Data Science in the Era of Foundation Models – Bridging the Gap from Theory to Practice (Crown room)
Sven Giesselbach
9:45 - 10:30
Challenges, approaches, needs and points of vire for industry grade AI (Crown room)
Raniero Romagnogli
10:30 - 11:15
Coffee break
11:15 - 12:45
Session 1
12:45 - 14:45
Lunch
14:45 - 15:30
Session 2
15:30 - 18:30
Free time
18:30 - 20:00
Session 3
20:00 - 21:30
Dinner
9:00 - 10:30
Session 4
10:30 - 11:15
Coffee break
11:15 - 12:45
Session 5
12:45 - 14:45
Lunch
14:45 - 16:10
Session 6
16:10 -
Closing
16:15 - 20:00
Free time
20:00 - 21:30
Social Dinner
Departure: September 26
