AI Week #Tuesday AI night
The AI continues with a night of talks exploring the edge of our knowledge.
Amir Hossein Rahnama will explore the edge of reinforcement learning and deep leaning in his talk on how to use reinforcement learning for optimising your neural networks.
Sebastian El Gaidi and Viktor Qvarfordt will explore probabilistic deep learning for regression. How to use the idea of uncertainty to build neural networks inspired by neuroscience that can improve their performance and explainability on regression tasks.
AI week is a collaboration to celebrate the promise of AI. For one week, academy and industry, experts and enthusiasts, coders and dreamers come together to shape the future of AI.
We host talks, workshops and Stockholms best AI hackathon.
These talks are a part of AI-week. To get access to all workshops and talks during AI-week.
Here is a list of the talks during AI-week
MONDAY
BUILDING MACHINE LEARNING MODELS
17:00–18:30
Mikael Huss and Carl Thomé
Data scientist at Peltarion, AI Research Engineer at Peltarion
Location: Peltarion, Holländargatan 17, 111 60 Stockholm
AI FOR SIMULATING HUMAN GAME PLAY
19:00–20:30
Philip Eisen
AI-engineer at King
Location: King, Sveavägen 44, 111 34 Stockholm
TUESDAY
NEURAL ARCHITECTURE SEARCH: USING REINFORCEMENT LEARNING TO BUILD NEURAL NETWORKS
18:00–18:45
Amir Hossein Rahnama
Data Scientist at Iteam
Location: A House, Östermalmsgatan 26A, 114 26 Stockholm
PROBABILISTIC AI FOR REGRESSION
19:00–20:00
Sebastian El Gaidi and Viktor Qvarfordt
AI-engineer at Greenlytics, AI-engineer in Finance VPD
Location: A House, Östermalmsgatan 26A, 114 26 Stockholm
WEDNESDAY
REINFORCEMENT LEARNING SELF PLAY
18:00–19:00
Anton Osika and Viktor Qvarfordt
Machine Learning Engineer at Sana Labs, AI-engineer in Finance VPD
Sana Labs, Nybrogatan 8 114 34 Stockholm Sweden
MACHINE LEARNING IN THE BROWSER
19:00–20:00
Birger Moëll and Charlie Rudenstål
Childhood friends and developers
The Castle, Slottsbacken 8
THURSDAY
DOMAIN ADAPTATION AND IMAGE TRANSLATION
17:00–18:30
Arthur Pensath and Sebastian Bujwid
Physics Master student KTH, Deep learning engineer at Univrses.
Univrses Västgötagränd 2, Elevator B, floor 10 Stockholm
CNNS FOR EYE TRACKING
19:00–20:00
Linus Häremsteam Nielsen
Machine Learning Master student. at KTH
Univrses Västgötagränd 2, Elevator B, floor 10 Stockholm
MULTI-TASK LEARNING
20:00–21:00
Miquel Marti
Machine Learning Engineer, Univrses
FRIDAY
HACKATHON AI FOR GOOD
17:00
FRIDAY TO SUNDAY 48 HOURS
Hosted by Birger Moëll, Arthur Pesah and Carl Samuelsson
AI week founder, Master student in Physics at KTH, Machine learning engineering intern at Ayond
Location: The Castle, Slottsbacken 8
SATURDAY
AI FOR GOOD WORKSHOPS
WHAT IS EFFECTIVE ALTRUISM AND HOW TO DO THE MOST GOOD
14:00–15:00
Markus Anderljung General Director of Effective Altruism Sweden
ETHICS IN AI
15:30–16:30
Karim Jebari Philosophy Post-Doc at Institute for Future Studies
INTERACTIVE SESSION USING GOOGLE DEEPMIND'S AI-SAFETY-GRIDWORLDS
16:30–18:00
Erik Engelhardt, KTH student in Computer Science
Location: The Castle, Slottsbacken 8