SmileyNet -- Towards the Prediction of the Lottery by Reading Tea Leaves with AI
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866916341294825472 |
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| author | Birk, Andreas |
| author_facet | Birk, Andreas |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_21385 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SmileyNet -- Towards the Prediction of the Lottery by Reading Tea Leaves with AI Birk, Andreas Artificial Intelligence Computer Vision and Pattern Recognition Computers and Society Machine Learning Robotics I.2; I.4; I.5; I.6; K.3.2 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. |
| title | SmileyNet -- Towards the Prediction of the Lottery by Reading Tea Leaves with AI |
| topic | Artificial Intelligence Computer Vision and Pattern Recognition Computers and Society Machine Learning Robotics I.2; I.4; I.5; I.6; K.3.2 |
| url | https://arxiv.org/abs/2407.21385 |