1.Machine Learning | A field of AI that allows computers to learn through data and adapt themselves to new patterns.
2.Deep Learning | A subset of Machine Learning that uses artificial neural networks to mimic the human brain.
3.Natural Language Processing | AI that allows machines to understand human language, such as text or speech.
4. Expert Systems | AI that simulates the decisions and knowledge of a human expert in a given domain.
5. Image Recognition | AI that can interpret and understand what is happening in an image.
6. SpeechRecognition | AI that can interpret and recognize spoken words.
7.AutomatedTranslation | AI that can translate text or speech from one language to another.
8. SentimentAnalysis | AI that can determine whether a piece of text or online feedback is positive or negative.
9. Recommendation Engines | AI that suggests products or content based on a user's preferences.
10.Chatbots| AI that can simulate a conversation with a user through text or speech.
11.PredictiveAnalytics | AI that uses data to predict future events or trends.
12.Robotic Process Automation | AI that automates repetitive business processes.
13.Artificial General Intelligence | AI that possesses all of the cognitive abilities of a human.
14.Reinforcement Learning | AI that learns through trial and error and receives a reward for successful actions.
15.Neural Networks | AI that uses artificial neurons to process dat.
16. Virtual Assistants | AI that assists users with questions, tasks, or functions such as scheduling or shopping.
17. Augmented Reality | Combining virtual and real-world elements in real-time via technology.
18. Digital Twins | A virtual representation of a physical object or system.
19. Natural Language Generation | AI that can generate text based on a set of instructions or prompts.
20. Computer Vision | AI that can interpret and understand the content of digital images and videos.
21. Sentiment Analysis | AI that measures the tone and emotions expressed in text.
22. Automated Pricing Models | AI that uses algorithms to set prices based on supply and demand.
23. Fraud Detection | AI that identifies fraudulent patterns in transactional data.
24. Blockchain | A distributed digital ledger that stores and secures transactions without a central authority
25.Predictive Maintenance | AI that uses sensors and data to predict when equipment or systems needs maintenance...