Brief History of Artificial Intelligence: from Turing to Chat GPT
AI has a rich history that stretches back to the mid-20th century, when pioneers like Alan Turing, John McCarthy, Marvin Minsky, and Claude Shannon began exploring foundational concepts like artificial neural networks, machine learning, and symbolic reasoning. Over the years, AI research has gone through periods of waxing and waning, including the AI winter of the 1970s and 1980s, and the subsequent revival of machine learning algorithms in the 1990s. In recent years, deep learning algorithms have enabled computers to process and interpret complex data, leading to breakthroughs in fields like natural language processing and computer vision. The EU has also recognized the importance of ethics in AI and established a deadline of 2024 for companies to comply with new AI regulations. In 2022, the release of ChatGPT, a large language model trained by OpenAI, demonstrated the enormous potential of AI for transforming the way we communicate and interact with machines. In the years to come many models like the ones trained by OpenAI are going to find themselves integrated into more and more systems such as word processing software, search engines and many more.
Crash Course 20 episode series about Artificial Intelligence
In this series, host Jabril Ashe will teach you the logic behind AI by tracing its history and examining how it’s being used today. We’ll even show you how to create some of your own AI systems with the help of co-host John Green Bot! We’ll also spend several episodes on an area of AI known as machine learning which has skyrocketed in popularity in recent years. AI is everywhere right now and has the potential to do amazing things in our lives. But there’s also great potential for peril, which is why we believe it is more important than ever that developers, and non-developers alike, understand AI.