What supports AI?

 AI is made possible by the following six innovative technologies: 

1. Computer vision: 

This method uses deep learning and pattern recognition to identify objects in an image or video. Real-time picture capture and comprehensive environment processing are features of machines that can interpret, process, and analyze images. 

2. Natural language processing (NLP): 

Computers are now able to generate, comprehend, and evaluate human language. Natural language interactions (NLI) is the next step, enabling individuals to use daily language to connect with computers and accomplish tasks. 

3. Graphics processing units (GPUs): 

They provide the processing power needed for computation, which makes them essential to artificial intelligence. To train, neural networks need massive amounts of data to be handled and processed rapidly. 

4. The Internet of Things (IoT): 

This is a network of actual physical items, or "things," that are equipped with software, sensors, and other technologies to link to other systems and devices over the Internet and share data. Massive volumes of unanalyzed data are also produced by IoT from linked devices. By using AI to automate models, more data may be utilized. 

5. Advanced algorithms: 

An increasing number of algorithms are being created and combined to speed up multi-level data processing. This type of processing is necessary to understand complicated systems, predict and identify unusual events, and optimize different scenarios. 

6. Application programming interfaces (APIs): 

These code packages allow artificial intelligence (AI) features to be added to current products and applications. They are also portable. For example, they can enable picture recognition in security systems and offer Q&A features that can highlight interesting patterns or data insights, generate headlines and captions, and describe data.