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Matthew Shorter
Last activity am 22 Jan. 2024

It would be useful if AI Chat Playground could also refer us to specific documentation

I have been finding the AI Chat Playground very useful for daily MATLAB use. In particular it has been very useful for me in basically replacing or supplementing dives into MATLAB documentation. The documentation for MATLAB is in my experience uniformly excellent and thorough but it is sometimes lengthy and hard to parse and the AI Chat is a great one stop shop for many questions I have. However, I would find it very useful if the AI Chat could answer my queries and then also supply a link directly to the documentation. E.g. a box at the bottom of the answer that is basically

"Here is the documentation on the functions AI Chat referred to in this response"

could be neat.

Fun

Mike Croucher
Last activity am 19 Jan. 2024

Quantum computing?

More details on The MATLAB Blog Quantum computing in MATLAB R2023b: On the desktop and in the cloud » The MATLAB Blog - MATLAB & Simulink (mathworks.com)

Generative AI

Rizwan
Last activity am 18 Jan. 2024

Frequency response of the winding using RLC parameters

I am using simulink for the frequency response analysis of the three phase induction motor stator winding.

The problem is that i can't optimise the pramaeter values manually, for this i have to use genetic algrothem. But iam stucked how to use genetic algorithum to optimise my circuit paramter values like RLC. Any guidence will be highly appreciated.

Generative AI

mylovexx
Last activity am 12 Jan. 2024

Questions about the example "Denoise Signals with Adversarial Learning Denoiser Model"

I am a beginner of deep learning, and meet with some problems in learning the MATLAB example "Denoise Signals with Adversarial Learning Denoiser Model", hope very much to get help!

Denoise Signals with Adversarial Learning Denoiser Model - MATLAB & Simulink - MathWorks China

1. visualizaition of the features

It is my understanding that the encoded representation of the autoencoder is the features of the original signal. However in this example, the output dimension of the encoder is 64xSignalLength. Does it mean that every sample point of the signal has 64 features?

2. usage of the residual blocks

The encoder-decoder model uses residual blocks (which contribute to reconstructing the denoised signal from the latent space, ). However, only the encoder output is connected to the discriminator. Doesn't it cause the prolem that most features will be learned by the residual blocks, and only a few features that could confuse the discriminator will be learned by the encoder and sent to the discriminator?

Generative AI

James Prestegard
Last activity am 12 Jan. 2024

Training a deep neural net

I have been developing a neural net to extract a set of generative parameters from an image of a 2-D NMR spectrum. I use a pair of convolution layers each followed by a fullyconnected layer; the pair are joined by an addtion layer and that fed to a regression layer. This trains fine, but answers are sub-optimal. I woudl like to add a fully connected layer between the addtion layer and regression, but training using default training scripts simply won't converge. Any suggestions? Maybe I can start with the pre-trained weights for the convolution layers, but I don't know how to do this.

JHP

Generative AI

Shore
Last activity am 30 Dez. 2023

AI Chat: Thumbs Up/Down

This is not a question, it is my attempt at complying with the request for thumbs up/down voting. I vote thumbs up, for having AI.....

I am not sure if specific AI errors are to be reported. Other messages I just read from others here and the AI Chat itself clearly state that errors abound.

My AI request was: "Plot 300 points of field 2"

AI Chat gave me, in part:

data = thingSpeakRead(channelID, 'Fields', 2, 'NumPoints', 300, 'ReadKey', readAPIKey);
% Extract the field values
field1Values = data.Field1;
% Plot the data
plot(field1Values);

The AI code failed due to "Dot indexing is not supported for variables of this type"

So, I corrected the code thus to get the correct plot:

data = thingSpeakRead(channelID, 'Fields', 2, 'NumPoints', 300, 'ReadKey', readAPIKey);
% Extract the field values
%field1Values = data.Field1;
% Plot the data
plot(data);

I see great promise in AI Chat.

Opie

Generative AI

Kali
Last activity am 21 Dez. 2023

Help

Write a matlab script that will print the odd numbers, 1 through 20, in reverse.

I cannot figure out how to do this correctly, please help.

Generative AI

David
Last activity am 23 Nov. 2023

A really nice overview of LLMs by Andrej Karpathy

https://www.youtube.com/watch?v=zjkBMFhNj_g

Generative AI

John D'Errico
Last activity am 15 Dez. 2023

Should the AI apply to all questions posted on Answers?

I saw this post on Answers.

https://www.mathworks.com/matlabcentral/answers/2046770-explaining-a-matlab-code/?s_tid=ans_lp_feed_leaf

I was impressed at the capability of the AI, as I have been at other times when I posed a question to it, at least some of the time. So much so that I wondered...

What if the AI were automatically applied to EVERY question on Answers? Would that be a good or bad thing? For example, suppose the AI automatically offers an answer to every question as soon as it gets posted? Of course, users would still be allowed to post their own, possibly better answers. But would it tend to disincentivise individuals from ansering questions?

Perhaps as bad, would it push Answers into the mode of a homework solving forum? Since if every homework question gets a possibly pretty good automatic AI generated solution, then every student will just post all HW questions, and the forum would quickly become overwhelmed.

I suppose one idea could be to set up the AI to post an answer to all un-answered questions that are at least one month old. Then students would not gain by posting their homework.