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- On 15. oktober 2021
Building Explainable Machine Learning Systems: The Good, the Bad, and the Ugly
This meetup was held in New York City on 30th April. Abstract: The good news is building fair, accountable, and transparent machine learning systems is ...
Game Theory: The Science of Decision-Making
With up to ten years in prison at stake, will Wanda rat Fred out? Game theory is looking at human interactions through the lens of mathematics. Hosted by: Hank ...
Interpretable machine learning (part 3): Shapley values and packages for IML
Interpreting machine learning models is one of the new hot areas in data science. As calls for greater transparency in algorithms become stronger, researchers ...
How to Build an Intelligent Machine | Björn Schuller
The secret to raising smart machines will be teaching them social and emotional intelligence, says Björn Schuller. The World Economic Forum Young Scientist, ...
ATN Researcher Showcase - New dawn for value based trading - Dr Alen Alempijevic
Dr Alen Alempijevic is part of the Australian research effort developing objective trait measurement technologies in the livestock sector. Studies under the Beef ...
How Comrade will enable DAOs and Autonomous AI - Bloomberg TV - Interview with Todor Kolev
Presenting our two cutting-edge blockchain projects: Wetonomy - System for Decentralized Governance of Organizations - ScyNet ..
COOPERATIVE INVERSE REINFORCEMENT LEARNING NIPS 2016
Human use facial expression to induct reinforcement learning robot to learn in mountaincar
Human use facial expression to induct reinforcement learning robot to learn in mountain-car environment.
Inverse Reinforcement Learning Example
This video is part of the Udacity course "Reinforcement Learning". Watch the full course at
Nick Bostrom: "Superintelligence" | Talks at Google
Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us?