Artificial Intelligence: From Neural Networks to Artificial Consciousness

Stanford Continuing Studies

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Stanford Continuing Studies

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About the course

The age of artificial intelligence (AI) is undoubtedly here. In 2015 alone, more than $10 billion of investment went into developing “smarter” computer systems that use neuroscience (artificial neural networks and computational techniques) to perform tasks that require high-level intellect, including visual perception, speech recognition, and autonomous decision-making. The self-driving car is but one highly visible example. Even the automated customer service representative on the phone is AI at work. In this course, students will look at the neuroscience concepts and techniques that underpin AI and the design of intelligent computer systems. Once we understand these essential concepts and techniques, we will see how scientists and programmers build AI platforms and applications. This includes a discussion of artificial neural networks, machine learning, and consciousness. Guest speakers from academia, industry, and AI companies will discuss their innovations and new AI technologies. By the end of the course, students will have a basic understanding of AI and its roots in neuroscience, and how it contributes to existing and new technologies.

Experts

Sohila Zadran

Sohila Zadran completed her undergraduate studies in Molecular Cell Biology and Neurobiology at UC Berkeley, and her doctoral studies in Neuroscience and Neuro-engineering at the age of 23 under National Academy of Sciences member, Dr. Richard Thompson. She subsequently completed her post-doctora...

Artificial Intelligence: From Neural Networks to Artificial Consciousness at Stanford Continuing Studies

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

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