So, what did we learn in last week's lecture?
(1) The bounty log (history of AI)
(2) Symbolic vs subsymbolic (The two schools)
(3) The mechanics of the chase (ML types)
(4) The black box evaluation
Stay tuned for this weeks lecture on traditional ML technologies (k-Means, linear regression, decision trees)

#AI #machinelearning #cowboybebop #HistoryOfAI #modelEvaluation @fiz_karlsruhe @fizise #lecture #KDAI2026

After today's #KDAI2026 lecture on "Basic Machine Learning 01", you will understand why most of what people say about AI in public debate is either wrong, confused, or missing the point — and you will have the tools to do better. If you've ever wondered how Netflix predicts your next binge-watch or how self-driving cars navigate, this is where it all starts.

@fizise #AI #machinelearning #DeepLearning #transformers #llms #ontologies #historyofAI #lecture #StudentLife #FutureTech #STEM

Khóa học nhanh về Lịch sử Trí tuệ nhân tạo 🎧 [Tư vấn] Podcast này cung cấp bản tường thuật có cấu trúc rõ ràng về hành trình phát triển AI từ quá khứ đến nay. Đề xuất nghe từ đầu để trải nghiệm toàn diện! #HistoryOfAI #LịchSửTríTuệNhânTạo #Podcast #AI #TechHistory #LịchSửCôngNghệ

https://www.reddit.com/r/singularity/comments/1pny4ft/crash_course_on_history_of_ai/

The average chess players of Bletchley Park and AI research in Britain

https://blogs.bl.uk/science/2025/06/the-average-chess-players-of-bletchley-park-and-ai-research-in-britain.html

#HackerNews #averagechessplayers #BletchleyPark #AIresearch #Britain #historyofAI #chessandtech

Just revisited The Quest for Artificial Intelligence by Nils J. Nilsson — a brilliant walk through the history, breakthroughs & ethical crossroads of AI.
A must-read if you’re building or governing AI today.
https://ai.stanford.edu/~nilsson/QAI/qai.pdf

#AI #MachineLearning #AIethics #HistoryOfAI

Building on the 90s, statistical n-gram language models, trained on vast text collections, became the backbone of NLP research. They fueled advancements in nearly all NLP techniques of the era, laying the groundwork for today's AI.

F. Jelinek (1997), Statistical Methods for Speech Recognition, MIT Press, Cambridge, MA

#NLP #LanguageModels #HistoryOfAI #TextProcessing #AI #historyofscience #ISE2025 @fizise @fiz_karlsruhe @tabea @enorouzi @sourisnumerique

Next stop in our NLP timeline are the (mostly) futile tries of machine translation during the cold war era. The rule-based machine translation approach was used mostly in the creation of dictionaries and grammar programs. It’s major drawback was that absolutely everything had to be made explicit.

#nlp #historyofscience #ise2025 #lecture #machinetranslation #coldwar #AI #historyofAI @tabea @enorouzi @sourisnumerique @fiz_karlsruhe @fizise

Summarizing our very brief #HistoryOfAI which was published here for several weeks in a series of toots , let's have a look at the popularity dynamics of symbolic vs subsymbolic AI put into perspective with historical AI hay-days and winters via the Google ngram viewer.
https://books.google.com/ngrams/graph?content=ontology%2Cneural+network%2Cmachine+learning%2Cexpert+system&year_start=1955&year_end=2022&corpus=en&smoothing=3&case_insensitive=false

#ISE2024 #AI #ontologies #machinelearning #neuralnetworks #llms @fizise @sourisnumerique @enorouzi #semanticweb #knowledgegraphs