MACHINE LEARNING

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Applied AI Concepts and Cases: Comprehensive Guide to Modern Technologies

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AI Dynamics

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22 May 2023 0h41

Applied AI Concepts and Cases! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Applied-Concep
t-Cases
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Deep Learning With Python: Complete Guide and Resources

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@gp_pulipaka

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22 May 2023 0h38

Deep Learning With Python! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/D-L-W_Python

Optimization creates minds with desires through evolution

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22 May 2023 0h08

If you optimize hard enough over any open-ended problem, you get minds; minds that want things. Minds and wanting are effective ways of computing complicated answers. That's how humans, and human brains, came into existence just from evolution hill-climbing "how to reproduce".

Stockfish Chess Engine: Hardcoded Moves and Shallow Neural Networks

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22 May 2023 0h03

The more complicated answer is that (a) the legal moves are hardcoded into the potential outputs and (b) Stockfish's neural nets aren't very deep and aren't going out-of-distribution relative to their training data. It's more like an ant than a brooding general human.

Chess AI Legibility: Hardcoded Utility Functions in Narrow Domains

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21 May 2023 23h49

– Chess AIs are far more legible; we can point to particular bytes inside a chess-playing program and say what they mean.
– Relatedly, chess is a narrower domain, and AIs can solve it without being able to learn new domains.
– Thus we can literally hardcode the utility function.

→ View original post on X — @bilawalsidhu

AI Course Launch: Comprehensive 6-Session Weekend Program

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@bilawalsidhu

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21 May 2023 23h49

Course will go live end of June – format will be 2 hours on Saturdays & Sundays for 3 weekends total. We'll go broad and deep!

Neural nets evaluation of MuZero learned representations predictions

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21 May 2023 23h16

I've already considered eg training neural nets to evaluate MuZero-style learned representations of hidden states. I have predictions about why that would fail. Do you have something else in mind, or should I explain some reasons that class of methods wouldn't work?

→ View original post on X — @abacusai

Discrete Optimization Service to Transform Your Business Operations

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@abacusai

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21 May 2023 23h00

Here is how to change your company. We built a Discrete Optimization service that will help you: Increase revenue, reduce costs, and improve profitability by optimizing resources while adhering to your business constraints. Check it out here: https://
abacus.ai/discrete_optim
ization
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→ View original post on X — @kirkdborne

Abacus AI Vector Matching Engine Searches Embeddings Milliseconds

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@kirkdborne

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21 May 2023 23h00

The @abacusai Vector Matching Engine performs searches on large amounts of vector embeddings in milliseconds. Train embeddings on any text, images or documents using #DeepLearning models. Given a vector, query for vectors similar to one in the query.
* https://
abacus.ai/vectormatching #AI