1. AlphaGo: A perfect example of how machine learning can change the game. It is a computer program that uses the Monte Carlo tree search and deep neural networks to play the board game Go. It was the first computer program to beat a human professional Go player and ultimately led to AlphaZero.
2. AlphaZero: It is a computer program by Google DeepMind that uses machine learning to play the games Go, chess, and shogi. It was the first computer program to beat a human champion in all three games.
3. Generative Adversarial Networks (GANs): It is a type of neural network that can generate new data. GANs are being used to create realistic images, videos, and even music.
4. Neural Machine Translation: It is a type of machine learning that allows computers to translate languages. The most notable application of this technology is Google Translate. However, it still needs improvement.
5. Image Recognition: It is a type of machine learning that enables computers to recognize images. Examples of this technology include face detection, object recognition, and image segmentation.
6. Self-Driving Cars: It is an application of machine learning that uses sensors and cameras to navigate roads without human intervention.
7. Natural Language Processing: It is a type of machine learning that enables computers to understand human language. Examples of this technology include chatbots, speech recognition, and language translation.
8. Reinforcement Learning: It is a type of machine learning that allows computers to learn from experience. It is being used in robotics, gaming, and self-driving cars.
9. Fraud Detection: It is an application of machine learning that helps banks, credit card companies, and other financial institutions detect fraudulent transactions.
10. Predictive Maintenance: It is an application of machine learning that helps organizations predict when their machinery, equipment, or vehicles need maintenance. This technology increases efficiency, reduces downtime, and minimizes repair costs.