Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. There is now a myriad of different applications of AI in a variety of different industries. Here are some examples of AI being applied – most are good, but some are not.
Virtual assistants are examples of artificial intelligence, as they rely on natural language processing and machine learning in order to effectively operate and perform better over time. Natural language processing (NLP) is the ability of a machine to “read” or “understand” human content, while machine learning allows the machine to learn from the data. Every time Alexa or Siri, for example, make a mistake when responding to your request, it uses the data it receives based on how it responded to the original query to improve the next time.
Another use of artificial intelligence is in self-driving cars. Autonomous vehicles are fitted with cameras, sensors and communication systems to enable the vehicle to generate massive amounts of data which, when applied with AI, enables the vehicle to see, hear, think and make decisions just like human drivers do.
Machine learning algorithms are developed for reading x-ray images and detecting medical conditions and diseases. The algorithms learn as scientists feed them hundreds or thousands of images - of mammograms, for example - training the technology to recognize patterns faster and more accurately than a human could.
Imitation learning can teach autonomous robots how to pace, spin, and move in more agile ways similar to real-life subject – for example, a dog. Using a data set of motion capture data recorded from various sensors attached to a live subject, robots can be taught movements that would be hard to achieve through traditional hand-coded robotic controls.
In the gaming world, the idea of machine learning started decades ago with Deep Blue, the IBM machine that challenged and beat chess champion Garry Kasparov. Machine learning allowed the computer to learn and adapt to game moves on a chess board and counter with moves that take into account learnings from millions of scenarios and possible outcomes.
Deepfake refers to counterfeit, computer-generated video and audio that is hard to distinguish from genuine, unaltered content. AI machines learn over time to make content look and sound more and more lifelike, making it difficult to distinguish fake from real.
AI chatbots can understand language outside of a set of pre-programmed commands and continue learning based on the inputs they receive. They can also make changes based on patterns and become smarter over time as they experience new situations. Chatbots are getting better at recognizing emotions in humans and that’s a whole new level of machine intelligence.
AI is used to write catchy songs in a variety of different styles. Machines are trained using millions of raw audio files of songs to produce songs that would be consistent with the style of an artist.
A facial recognition system identifies or verifies a person’s identity by analyzing their face, which had been recorded in real-time. The AI-enabled face recognition system captures the person’s image from the recorded video, analyzes it and compares it with images stored in its database.
There are a lot more examples of AI being used. They are in practically every industry and their applications are wide-ranging. We are already in an era where we are, knowingly or unknowingly, being exposed to AI in our daily lives.