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Andrew Ng, computer scientist and Coursera co-founder, said, “Artificial intelligence is the new electricity.” Ng goes on to say that he can’t think of a single industry that AI will not transform in the next several years.
Before ChatGPT was released, we subconsciously knew that AI was used for mapping driving directions, recommending products based on our consumer profile, and for facial recognition. But we did not have direct interactions with an AI language model system that let us leverage its power directly and without coding.
All that changed with the release of ChatGPT, where anyone could converse with an AI Chatbot and even use the results to optimize work, from generating blog posts to generating code by typing in a few simple sentences.
In the quest for understanding AI, we find ourselves exploring machine learning, deep learning, neural networks, and more. These groundbreaking technologies have propelled us beyond mere automation, empowering machines to learn, adapt, and infer from vast datasets, making them indispensable tools in diverse domains.
Today, AI drives innovation in healthcare, deciphering complex medical records to diagnose diseases while also inspiring revolutionary breakthroughs in the automotive industry with self-driving cars that navigate the roads with precision. AI’s influence also extends to the creative arts, as it composes music, generates artwork, and even pens articles, blurring the line between human and machine.
If you are interested in learning more about the concepts that underpin this “brave, new world,” you can get started by viewing these Cadence videos. They explain the fundamentals of AI and machine learning as well as the current and future applications of AI.
For a deeper understanding of AI and machine learning, enroll in the course Artificial Intelligence and Machine Learning Fundamentals.
You might also be interested in the training Learning Map that guides you through recommended course flows as well as tool experience and knowledge-level training modules.
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