#ise2024 — Public Fediverse posts

We are recruiting for the position of a PhD/Junior Researcher or PostDoc/Senior Researcher with focus on knowledge graphs and large language models connected to applications in the domains of cultural heritage & digital humanities.

More info: https://www.fiz-karlsruhe.de/en/stellenanzeigen/phdjunior-researcher-oder-postdocsenior-researcher-wmx-0

Join our @fizise research team at @fiz_karlsruhe
@tabea @sashabruns @MahsaVafaie @GenAsefa @enorouzi @sourisnumerique @heikef #knowledgegraphs #llms #generativeAI #culturalHeritage #dh #joboffer #AI #ISE2024 #PhD #ISWS2024

In 2013, Mikolov et al. (from Google) published word2vec, a neural network based framework to learn distributed representations of words as dense vectors in continuous space, aka word embeddings.

T. Mikolov et al. (2013). Efficient Estimation of Word Representations in Vector Space. arXiv:1301.3781
https://arxiv.org/abs/1301.3781

#HistoryOfAI #AI #ise2024 #lecture #distributionalsemantics #wordembeddings #embeddings @sourisnumerique @enorouzi @fizise

In 1965,
Dendral, one of the first expert systems, was introduced by Edward Feigenbaum, Joshua Lederberg, and Carl Djerassi. It was was supposed to help organic chemists in identifying unknown organic molecules, by analyzing their mass spectra and using a chemistry knowledge base.

http://web.mit.edu/6.034/www/6.s966/dendral-history.pdf

#HistoryOfAI #ISE2024 #lecture #AI #chemistry #expertsystem @fizise @enorouzi @sourisnumerique

In 1879, Gottlob Frege introduced Begriffsschrift, a formal system with symbols and rules, allowing for precise manipulation of logical statements. This paved the way for modern symbolic logic and symbolic reasoning.

G. Frege. Begriffsschrift: eine der arithmetischen nachgebildete Formelsprache des reinen Denkens. Halle an der Saale: Verlag von Louis Nebert, 1879.
https://gallica.bnf.fr/ark:/12148/bpt6k65658c

#HostoryOfAI #ISE2024 #lecture #logics #knowledgerepresentation @enorouzi @sourisnumerique @fizise #AIart

In 1957, the Mark I Perceptron, developed by Frank Rosenblatt at Cornell Aeronautical Laboratory, was able to learn and to recognize handwritten digits, read via a simple 20x20 array of photocells, adapting the weights of the perceptron via potentiometers and small electric motors.

https://en.wikipedia.org/wiki/Perceptron#Mark_I_Perceptron_machine

#HistoryOfAI #ISE2024 #lecture #neuralnetworks #connectionism @fizise @enorouzi @sourisnumerique

Iteratively adjusting the weights of a neuron according to the errors created by comparing expected output with actual output is the basis of Frank Rosenblatt's perceptron (1957), the first artificial neural network.

F. Rosenblatt (1958), The perceptron: a probabilistic model for information storage and organization in the brain. Psyc. Review, 65(6), 386–408.
https://doi.org/10.1037/h0042519

#HistoryOfAI #ISE2024 #neuralnetwork #AI #lecture @sourisnumerique @enorouzi @fizise #timeline #connectionism

We start our #HistoryOfAI with Donald Hebb's efforts to investigate the principles of biological neural networks.
Hebb’s Law: "Neurons that fire together wire together."

Hebb, D. O. (1949). The organization of behavior: A neuropsychological theory. New York: Wiley.
https://pure.mpg.de/rest/items/item_2346268_3/component/file_2346267/content

#ISE2024 #AI #Connectionism #neuralnetworks #lecture @sourisnumerique @enorouzi @heikef @NFDI4DS @nfdi4culture @fizise @fiz_karlsruhe

We started our #ISE2024 lecture on Basic Machine Learning today with "A (very) brief History of AI", which - in the end - took longer than expected ;-) ....stories and anecdotes time again

lecture slides: https://drive.google.com/file/d/1smo2qdVbXIVWqE9JHrtD6Ao6LDj1q9Jn/view?usp=drive_link

@enorouzi @sourisnumerique @fizise @fiz_karlsruhe #AI #HistoryOfAI #perceptron #expertsystem #knowledgebase #symbolicAI #subsymbolicAI #neuralnetworks #connectivism #generativeAI #creativeAI #AIart #astronaut

SPARQL federated queries were also on our list at last week's #ISE2024 lecture, combining #DBpedia and #wikidata, asking the question "which 'planetary romance' scifi novels are dealing with Mars” ?" ...would you know?

slides: https://drive.google.com/file/d/17gEglymV3_feQrkxGRw7XslxRxpGhD4b/view?usp=drive_link
SPARQL query: https://w.wiki/AY2S
SPARQL result: https://w.wiki/AY2T

#SPARQL #semanticweb #knowledgegraphs @wikidata @dbpedia @sourisnumerique @enorouzi @shufan @fizise #scifi #mars #lecture

In a brief excursion we've introduced the #DBpedia #knowledgegraph to our students in this week's #ISE2024 lecture. This is one of the two playgrounds for our subsequent #SPARQL adventures :)

slides: https://drive.google.com/file/d/17gEglymV3_feQrkxGRw7XslxRxpGhD4b/view?usp=drive_link

#semanticweb @dbpedia @fizise @enorouzi @sourisnumerique @shufan #aiart #lecture @nfdi4culture

To be able to make statements about statements is essential to model provenance and to deal with trust or confidence. In the last #ISE2024 lecture we were discussing RDF Reification and RDF* for exactly this purpose.

slides: https://drive.google.com/file/d/1gJ3RD3Sz2JuEpCF-mBBfA85boYP_jrON/view?usp=drive_link

#knowledgegraphs #RDF #reification #semanticweb #lecture @ebrahim @sourisnumerique @shufan @fizise #aiart

To be able to make statements about statements is essential to model provenance and to deal with trust or confidence. In the last #ISE2024 lecture we were discussing RDF Reification and RDF* for exactly this purpose.

slides: https://drive.google.com/file/d/1gJ3RD3Sz2JuEpCF-mBBfA85boYP_jrON/view?usp=drive_link

#knowledgegraphs #RDF #reification #semanticweb #lecture @ebrahim @sourisnumerique @shufan @fizise #aiart

To be able to make statements about statements is essential to model provenance and to deal with trust or confidence. In the last #ISE2024 lecture we were discussing RDF Reification and RDF* for exactly this purpose.

slides: https://drive.google.com/file/d/1gJ3RD3Sz2JuEpCF-mBBfA85boYP_jrON/view?usp=drive_link

#knowledgegraphs #RDF #reification #semanticweb #lecture @ebrahim @sourisnumerique @shufan @fizise #aiart

To be able to make statements about statements is essential to model provenance and to deal with trust or confidence. In the last #ISE2024 lecture we were discussing RDF Reification and RDF* for exactly this purpose.

slides: https://drive.google.com/file/d/1gJ3RD3Sz2JuEpCF-mBBfA85boYP_jrON/view?usp=drive_link

#knowledgegraphs #RDF #reification #semanticweb #lecture @ebrahim @sourisnumerique @shufan @fizise #aiart

To be able to make statements about statements is essential to model provenance and to deal with trust or confidence. In the last #ISE2024 lecture we were discussing RDF Reification and RDF* for exactly this purpose.

slides: https://drive.google.com/file/d/1gJ3RD3Sz2JuEpCF-mBBfA85boYP_jrON/view?usp=drive_link

#knowledgegraphs #RDF #reification #semanticweb #lecture @ebrahim @sourisnumerique @shufan @fizise #aiart

In the #ISE2024 lecture today, we will discuss RDF as basic building block for the Web of Data.

slides: https://drive.google.com/file/d/1gJ3RD3Sz2JuEpCF-mBBfA85boYP_jrON/view?usp=drive_link

#semanticweb #knowledgegraphs #rdf #rdfs #WebOfData @fizise @MahsaVafaie @enorouzi @shufan @sourisnumerique

In lecture 05 of our #ise2024 lecture series, we are introducing the concept of distributed semantics and are referring (amongst others) to Ludwig Wittgenstein and his approach to the philosophy of language, and combine it with the idea of word vectors and embeddings.

lecture slides: https://drive.google.com/file/d/1WcVlkcUr33u5JmFcadkwtePpXJrv03n2/view?usp=sharing

#wittgenstein #nlp #wordembeddings #distributionalsemantics #lecture @fiz_karlsruhe @fizise @enorouzi @shufan @sourisnumerique #aiart #generativeai

After our Wednesday #ise2024 lecture, we (the teaching team) are usually going to Espresso Stazione for a coffee lecture aftermath ;-)

#knowledgegraphs #lecture #coffeechallenge #perfectespresso #academiclife @fizise @KIT_Karlsruhe #karlsruhe @enorouzi @epoz @sourisnumerique @shufan

N-gram language models are quite simple and approximate the probability of a sequence of words in a language by applying the Bayes Rule for conditional probabilities, the Markov Assumption for simplifying complexity, and the Maximum Likelihood Estimation to approximate probabilities from frequency counts in a corpus.

lecture slides: https://drive.google.com/file/d/1NkFexo9gxlZVkBR7XWKcOJMJiaX4GPG1/view?usp=drive_link

#nlp #llm #languagemodel #BayesTheorem #ise2024 #dh @fiz_karlsruhe @lysander07 @sourisnumerique @enorouzi @shufan

The summer semester starts with rain, low temperatures, but with an excellent cappuccino at Cafe Centrale near the KIT campus. This will become institutionalized for all Wednesday lectures this semester 😋 #coffeechallenge #ise2024 @enorouzi @sourisnumerique @shufan @fizise

Espresso time again 😋 one week to relax before the lectures of the summer semester are about to start. This year, my Information Service Engineering lecture has significantly changed due to the rise of #llms and #generativeAI. I’ll keep you posted in the upcoming 14 weeks.
#perfectEspresso #coffeechallenge #Workation
follow #ise2024 for all lecture related info.