flooo

6 ms·

1.
by flooo 8mo ago
https://florisdh.nl
2.
by flooo 1y ago
Now consider that the genius cannot physically interact with the world or the people therein, and uses her eyes only for reading text.
3.
by flooo 1y ago
I have several chat groups with friends and even with my wife to avoid this topic. With my wife, I have several now: one to share recipes, one to share the weeks meal plan, one to talk about the activities of our two year old and one to sha
4.
by flooo 4y ago
To me, the vast majority of people in the field seem to hold on to the idea that different technology suits different problems. Also, are you aware that one of the most prominent AI tools of this month (ChatGPT) was obtained with RL!
5.
by flooo 4y ago
How about the women whose profile pics he “harvested” (stole)? Isn’t there a huge ethical issue there?
6.
by flooo 4y ago
Most novel AI serves the user perfectly well. And since this type of AI requires lots of labelled data, these users are typically large data harvesting organisations. Some other applications that you may use daily are translate and face unl
7.
by flooo 4y ago
Sounds like excel flash fill might be similar to what you’re interested in. It’s a well documented feature described in papers and talks, it comes from a pretty cool group in MS research.
8.
by flooo 4y ago
Stochastic methods may not be able to do so in isolation, but they can be used in tandem with other approaches such as in “A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving” https://ojs.aaai.org/ind
9.
by flooo 4y ago
I’m a researcher working in the fraud detection domain. Do you have some pointers on scaling GNNs to such large problems?
10.
by flooo 5y ago
A colleague of mine recently published a paper on ML-based cell counting for human cancer cells. It's open access and available here https://www.mdpi.com/2076-3417/11/11/4912
11.
by flooo 5y ago
I am currently interested in infusing reinforcement learners with symbolic knowledge, with safety constraints as a special case. I hope this helps cases where learners could come up with better solutions if it were not for pathological fail
12.
by flooo 5y ago
As a researcher in AI, I accept that a lot of currently unsolved challenged are thought of as AI. But lately, I feel that AI is the problem description for all currently unsolved problems. And then some... This surprises me, because most
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Aiden: Reinforcement Learning Applied to Electronic Trading(borealisai.com)
2 points by flooo 6y ago|0 comments
14.
by flooo 6y ago
Vowpal Wabbit is used but many build something in-house into existing rule-based or supervised ml systems In green fields deployments, Azure personalizer may be a nice place to start looking. On the academic side, this paper provides an ove
15.
by flooo 6y ago
Not entirely the same, but this may be helpful https://spinningup.openai.com/en/latest/user/introduction.ht... Previously discussed on HN: 1. https://news.ycombinator.com/item?id=18408360 2.
16.
by flooo 6y ago
RL, including contextual bandits, is becoming more popular for personalization, i.e. adapting some system to the preferences of (groups of) individuals. Plug/Source: I did a lit. review on this topic https://doi.org/10.
17.
by flooo 6y ago
There is an interesting relation to this with regard to reinforcement learning (RL) where the trade-off between exploration and exploitation is one of the fundamental issues. Systematic or structured exploration has shown some success here
18.
by flooo 6y ago
Critiques that violent games and movies numb youths simply by exposure and lead them to become violent in real life eventually follow this exact same patterns.
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by flooo 6y ago
I'm surprised there is no mention of Postgres' Genetic Query Optimizer (GEQO) here. It kicks in when there is a large number of joins and reduces query planning time at the cost of query execution time. Another post in this thread
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by flooo 6y ago
Colleagues in my research group are working on evolving 'creatures' in physical space, e.g. evolvable robots [0]. They address deep questions regarding the interplay between evolution/the body, learning/the brain and the
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by flooo 6y ago
A friend of mine has been doing this for some time. It works well but you're gonna need some iterations with stakeholders to make it work. This includes medical staff, transport experts etc. What's quite cool about my friends eng
22.
by flooo 7y ago
I was instantaneously thinking about machine learning from UCI data set repository. Talking about dangers of AI!
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by flooo 7y ago
Integrating control in adaptive systems. We see a big trend where (parts of) systems can adapt their behaviour to particularities of the environment they are deployed in with the biggest technical driver being machine learning. Controlling
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Microsoft Azure Cognitive Services: Personalizer(azure.microsoft.com)
2 points by flooo 7y ago|0 comments
25.
by flooo 7y ago
There is a link to the original work by OpenAI: https://openai.com/blog/reinforcement-learning-with-predicti...
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Do we still need models or just more data and compute? [pdf](staff.fnwi.uva.nl)
2 points by flooo 7y ago|0 comments
27.
Machine Learning for the Quantified Self(github.com)
2 points by flooo 8y ago|0 comments
28.
How a Flock of Drones Developed Collective Intelligence(wired.com)
2 points by flooo 8y ago|0 comments
29.
The evolution of continuous experimentation in software product development(blog.acolyer.org)
2 points by flooo 9y ago|0 comments
30.
by flooo 11y ago
This could be achieved by following the edges of a decision tree from the root to all leaf nodes [0]. Results are not always easily interpreted by humans. [0] http://www.saedsayad.com/decision_tree.htm

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