Sorry, you need to enable JavaScript to visit this website.
ai
Computer Science

Artificial Intelligence In The Real World

In recent years, advancements in general AI have generated much public interest. Large language models have shocked many with their power to mimic critical thinking skills on complex problems, a distinctly human behavior. Autonomous controllers are starting to be deployed in safety-critical systems like driving and flying. All this progress now has begged many questions: can we trust these systems in the real-world? Should human involvement remain? This semi-lab will not give any answers to moral questions; that is left for each to decide. Rather, we will learn how we got here. Artificial Intelligence itself has existed since the 1950s so the road of discovery and research to this point is important to understand. We will start by going through this, as well as learn the math that was used. There will be some complex concepts involving logic and derivatives. We will then look at potential real-world autonomous systems and see how researchers are working on making sure we can trust them. Some experience with Python coding is heavily encouraged.

Difficulty level: Advanced