SmileyNet -- Towards the Prediction of the Lottery by Reading Tea Leaves with AI

التفاصيل البيبلوغرافية
العنوان: SmileyNet -- Towards the Prediction of the Lottery by Reading Tea Leaves with AI
المؤلفون: Birk, Andreas
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computers and Society, Computer Science - Machine Learning, Computer Science - Robotics, I.2, I.4, I.5, I.6, K.3.2
الوصف: We introduce SmileyNet, a novel neural network with psychic abilities. It is inspired by the fact that a positive mood can lead to improved cognitive capabilities including classification tasks. The network is hence presented in a first phase with smileys and an encouraging loss function is defined to bias it into a good mood. SmileyNet is then used to forecast the flipping of a coin based on an established method of Tasseology, namely by reading tea leaves. Training and testing in this second phase are done with a high-fidelity simulation based on real-world pixels sampled from a professional tea-reading cup. SmileyNet has an amazing accuracy of 72% to correctly predict the flip of a coin. Resnet-34, respectively YOLOv5 achieve only 49%, respectively 53%. It is then shown how multiple SmileyNets can be combined to win the lottery.
Comment: This is a satirical accumulation of misconceptions, mistakes, and flawed reasoning I have encountered in recent times as a reviewer and sometimes even as a reader of published papers. I hope it is entertaining and useful in the context of the education of BSc, MSc, and PhD students in Machine Learning, Artificial Intelligence, and Cognitive Science
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2407.21385
رقم الأكسشن: edsarx.2407.21385
قاعدة البيانات: arXiv