AI Technologies

1. Computer Vision: Gives computers the ability to understand and interpret visual information from the world, such as identifying objects in images or videos. Learn more at NVIDIA's Computer Vision.

2. Robotics Process Automation (RPA): Automates repetitive, rule-based tasks by mimicking human actions. Explore examples at UiPath's RPA Solutions.

3. Predictive Analytics: Uses data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes. Discover more at SAS Predictive Analytics.

4. Neural Networks: Computational models inspired by the human brain, crucial for deep learning applications. An overview is available at IBM Cloud Learn Hub.

5. Reinforcement Learning: A type of machine learning where an algorithm learns to make decisions by performing actions and assessing the results. Details can be found at DeepMind's Reinforcement Learning.

6. Sentiment Analysis: NLP technology used to determine the emotional tone behind words, useful in understanding opinions and feedback. Learn about its applications at MonkeyLearn.

7. Generative Adversarial Networks (GANs): AI models used to create new data that resembles the given training data, widely used in image, video, and voice generation. Learn more with AI Summer's GANs in computer vision - Introduction to generative learning.

8. Chatbots and Virtual Assistants: AI-driven programs that simulate human conversation to provide customer support or information. Discover more at IBM Watson Assistant.

9. Edge AI: AI technologies that are processed locally on a hardware device, reducing the need for data to be sent to a cloud-based server. Learn about its impact at Intel's Edge AI.

10. AI in Healthcare: Technologies like AI-driven diagnostics, personalized medicine, and robotic surgery. Insights can be found at NVIDIA's AI in Healthcare.

11. Autonomous Vehicles: Use AI for navigation, traffic management, and control in self-driving cars. Explore this at Waymo's Autonomous Vehicles.

12. Speech Recognition: Translates spoken words into text, enabling voice control of devices and applications. More information at Google's Speech Recognition.

13. Biometrics: Involves the identification of humans by their characteristics or traits, using AI for facial recognition, fingerprint identification, and more. See applications at Apple's Face ID Technology.

14. AI in Cybersecurity: Uses machine learning to predict, identify, and defend against cyber threats. Details available at CrowdStrike's AI in Cybersecurity.

15. Augmented Reality (AR) and AI: Combining AR with AI to create more interactive and intelligent user experiences. Discover advancements at Magic Leap.

16. AI-Enabled Chips: Specialized processors designed to speed up AI applications like neural networks and deep learning. Learn about them at Qualcomm AI Research.

17. Blockchain and AI: Integration of blockchain technology with AI for enhanced security and decentralized data management. Insightful information at IBM's Blockchain and AI.