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# Introduction to machine learning
What is Machine Learning?
Machine learning (ML) is a modern software development technique and a type of artificial intelligence (AI) that enables computers …
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Conditioned when the coupling variables are free, e.g., during the temporal decomposition
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Comment below with questions or thoughts about the reading for this week's workshop.
Please make your comments by Wednesday 11:59 PM, and upvote at least five of your peers' comments on Thursday pr…
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In SIRF (3.5.0) new functions were added. There are children of the [Prior](https://github.com/SyneRBI/SIRF/blob/master/src/xSTIR/pSTIR/STIR.py#L2231) base class and have methods such as `__call__` an…
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While the hypothetical use case for `fromLiteral` is explained it's unclear if that actually translates into real world usage of this API.
It also suffers from implementability issues, ~~the und…
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Right now the package falls back to Zygote for computing gradients using automatic differentiation. It would be nice to add support for multiple AD backends (ReverseDiff, Enzyme, Yota, Nabla, Diffract…
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During the [Stochastic Project](https://github.com/epapoutsellis/StochasticCIL/tree/svrg), I designed the following improvement for the [callback](https://github.com/TomographicImaging/CIL/blob/0418ed…
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I'm trying to solve an implementation of the space-variant deconvolution algorithm presented in [Flicker & Rigaut (2005)](https://doi.org/10.1364/JOSAA.22.000504) and reviewed [here](https://ujm.hal.s…
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Hi Emmanuel Noutahi,
I trust this message finds you well. I recently came across your article on the impressive performance of the representation SAFE in reverse molecular design. I have a few ques…