Create new "real life" tutorial

[bruAristimunha]

During the last ICLR 2024, I had some interesting discussions, and some people close to application with EEG in real life/VR asked for more tutorials close to real application.

I thought it was a fair request. Maybe engage more company's people to contribute.

Maybe something with continuous learning or using some probability output to adjust the model in a more pseudo-online approach.

I don't know what is the best approach to go deeper into this question. Do you have any ideas or suggestions for @agramfort, or @hubertjb (tagging to get ideas or suggestions)?

[bruAristimunha]

I think an okay way to go could be optimizing the speed (model perspective) to do something close to a real application. 

Highlight the models' size, explain how to quantize the input with different precisions, and use pred_prob. A good model in real life needs to run on very limited hardware, and I think it is a common bottleneck. 

But I am not currently working with this, so I'm speculating what might be more interesting.

[robintibor]

So with real-life you mean like something for a complete BCI system? I remember from our BCI one thing we did was finetuning online, so given an already pretrained model, given some new data, first predict it (to control sth), but then when a trial is completed use the data (and all other trials up to that point) to finetune for the new sesssion/subject... so something like this might be possible