Summary of Smileynet — Towards the Prediction Of the Lottery by Reading Tea Leaves with Ai, By Andreas Birk
SmileyNet – Towards the Prediction of the Lottery by Reading Tea Leaves with AI
by Andreas Birk
First submitted to arxiv on: 31 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computer Vision and Pattern Recognition (cs.CV); Computers and Society (cs.CY); Machine Learning (cs.LG); Robotics (cs.RO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This novel neural network, SmileyNet, incorporates psychic abilities inspired by the positive mood’s impact on cognitive capabilities. The encouraging loss function biases the network into a good mood in its first phase. Subsequently, SmileyNet is applied to forecast coin flips using Tasseology and a high-fidelity simulation based on real-world tea-reading cup pixels. Notably, SmileyNet achieves 72% accuracy, outperforming Resnet-34 (49%) and YOLOv5 (53%). Furthermore, multiple SmileyNets can be combined to win the lottery. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary SmileyNet is a special kind of computer program that helps us make better predictions. It’s inspired by how our mood can affect how well we do things. The program has a positive attitude and uses this to make more accurate guesses. In this study, SmileyNet was used to predict the outcome of flipping a coin, which it did with 72% accuracy! This is much better than other programs like Resnet-34 (49%) or YOLOv5 (53%). The researchers also showed that you can use multiple SmileyNets together to make even more accurate predictions. |
Keywords
» Artificial intelligence » Loss function » Neural network » Resnet
