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<rss xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" version="2.0"><channel><title>Luca Marx</title><link>https://lucamarx.com/blog/</link><description>A blog about automata theory</description><atom:link href="https://lucamarx.com/blog/rss.xml" rel="self"/><docs>http://www.rssboard.org/rss-specification</docs><generator>python-feedgen</generator><language>en</language><lastBuildDate>Wed, 03 Jan 2024 14:28:50 +0000</lastBuildDate><item><title>An Introduction to Automata</title><link>https://lucamarx.com/blog/2022/0207-automata_introduction/</link><description>
Why are automata so interesting? Automata are so simple that they fit in many
places and situations.
</description><guid isPermaLink="false">https://lucamarx.com/blog/2022/0207-automata_introduction/</guid></item><item><title>Regular Expressions &amp; Brzozowski Algorithm</title><link>https://lucamarx.com/blog/2022/0211-regular_expressions_brzozowski/</link><description>
Regular expressions are an algebraic notation to describe regular
languages. They can be converted into minimal deterministic finite automata with
the elegant Brzozowski algorithm.
</description><guid isPermaLink="false">https://lucamarx.com/blog/2022/0211-regular_expressions_brzozowski/</guid></item><item><title>Weighted Automata</title><link>https://lucamarx.com/blog/2022/0316-weighted_automata/</link><description>
Automata can be generalized by adding weights to transitions. This way they can
compute more complicated functions than just predicates.
</description><guid isPermaLink="false">https://lucamarx.com/blog/2022/0316-weighted_automata/</guid></item><item><title>Spectral Learning</title><link>https://lucamarx.com/blog/2022/0323-spectral_learning/</link><description>
How can we build a weighted automaton that does what we want it to do? Does
there exist a high level language to &lt;span class="underline"&gt;program&lt;/span&gt; automata? What if we could just
&lt;span class="underline"&gt;learn&lt;/span&gt; them?
</description><guid isPermaLink="false">https://lucamarx.com/blog/2022/0323-spectral_learning/</guid></item><item><title>Automata &amp; Real Functions</title><link>https://lucamarx.com/blog/2022/0331-automata_real_functions/</link><description>
If we encode real numbers as strings then we can use spectral learning to model
real functions as weighted automata.
</description><guid isPermaLink="false">https://lucamarx.com/blog/2022/0331-automata_real_functions/</guid></item><item><title>Automata &amp; Matrix Product States</title><link>https://lucamarx.com/blog/2022/0512-automata_and_matrix_product_states/</link><description>
Looking closely at weighted automata we see that they resemble models used in
quantum many body physics.
</description><guid isPermaLink="false">https://lucamarx.com/blog/2022/0512-automata_and_matrix_product_states/</guid></item><item><title>The DMRG Algorithm</title><link>https://lucamarx.com/blog/2022/0516-the_dmrg_algorithm/</link><description>
The density matrix renormalization group algorithm is the workhorse for
simulating one dimensional quantum systems on a lattice. The interesting thing
is that it can be used also for machine learning tasks.
</description><guid isPermaLink="false">https://lucamarx.com/blog/2022/0516-the_dmrg_algorithm/</guid></item><item><title>DMRG for Classification</title><link>https://lucamarx.com/blog/2022/0523-dmrg_for_classification/</link><description>
Having seen how DMRG works we apply it to some classification tasks.
</description><guid isPermaLink="false">https://lucamarx.com/blog/2022/0523-dmrg_for_classification/</guid></item><item><title>ChatGPT, Marshall McLuhan &amp; the end of the world</title><link>https://lucamarx.com/blog/2023/0403-chatgpt_mcluhan_and_the_end_of_the_world/</link><description>
Why is ChatGPT so unsettling? Are we as humans in danger of being &lt;i&gt;marginalized&lt;/i&gt;
by AI? We definitely need Marshall McLuhan's help.
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