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4chan users exploit AI image generator to create nude deepfakes – TechCrunch

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Lotfi Zadeh Word Search Puzzle - Fuzzy Logic Artificial Intelligence - Pioneers

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The story behind this product: Lotfi Aliasker Zadeh (February 4, 1921 – September 6, 2017) was a mathematician, computer scientist, electrical engineer, artificial intelligence researcher and professor emeritus of computer science at the University of California, Berkeley. Zadeh was best known for proposing fuzzy mathematics consisting of these fuzzy-related concepts: fuzzy sets, fuzzy logic, fuzzy algorithms, fuzzy semantics, fuzzy languages, fuzzy control, fuzzy systems, fuzzy probabilities, fuzzy events, and fuzzy information. On November 30, 2021, Google celebrated the submission of "Fuzzy Sets," a groundbreaking paper that introduced the world to his innovative mathematical framework called "fuzzy logic with a Google Doodle. This file contains 1 page of Lotfi Zadeh Word Search Puzzle with 30 Lotfi Zadeh themed Words and 1 page with its solution. The 30 words are hidden in all directions, making the word search challenging.


Predicting Purchase Decisions in Mobile Free-to-Play Games

AAAI Conferences

Mobile digital games are dominantly released under the freemium business model, but only a small fraction of the players makes any purchases. The ability to predict who will make a purchase enables optimization of marketing efforts, and tailoring customer relationship management to the specific user's profile. Here this challenge is addressed via two models for predicting purchasing players, using a 100,000 player dataset: 1) A classification model focused on predicting whether a purchase will occur or not. 2) a regression model focused on predicting the number of purchases a user will make. Both models are presented within a decision and regression tree framework for building rules that are actionable by companies. To the best of our knowledge, this is the first study investigating purchase decisions in freemium mobile products from a user behavior perspective and adopting behavior-driven learning approaches to this problem.