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R42 Institute

Lectures and Courses by R42 Personnel

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London, UK

One Day AI Course - January 25th, 2020

A Crash Course in AI: Everything You Want to Know About AI but Are Afraid to Ask!

Taught by Dr. Ronjon Nag, a seasoned entrepreneur and Stanford Distinguished Careers Institute Fellow, who has founded and advised companies sold to Motorola, BlackBerry and Apple.

Artificial intelligence (AI) is a term that is widely used and abused everywhere and has given rise to powerful techniques known as neural networks and deep learning. However, what do these terms mean and what is hype and what is real. This is a one day course which will demystify artificial intelligence techniques for executives, product managers, and software engineers. The course is accessible to all levels of experience and will also give an opportunity to network with executives, investors and entrepreneurs. This curated one day event will be held at a beautiful venue of historical significance in central London. Capacity will be limited.

Additionally, there will be an invite-only dinner in the evening for a small group of guests to discuss AI and Healthcare opportunities.

Course Outline: 8am - 5pm

Lecture 1

  • Class structure, Broad Overview of AI, Machine Learning, Deep Learning

  • How does a Neural Network work? Perceptrons, Neural Networks with Real Numbers

  • Playing with Tensorflow Playground

 

BREAK

Lecture 2

  • Advanced Neural Networks: Convolutional Neural Networks, LSTMs, End-To-End

  • Neural Networks, Playing with Google Collab Neural Network Applications

  • Applications: AI for Healthcare & Longevity

 

LUNCH BREAK​

Lecture 3

  • Evaluating AI Systems, Over and Under Fitting,

  • Reinforcement Learning

  • Generative Adversarial Networks

  • Deep Fakes, Explainable AI, Ethics and Regulation

 

Lecture 4

  • Boundaries of Humanity

  • Brain-Machine Interfaces

  • AI Competitiveness

  • Investing in AI and Applications

  • Where is Strong AI Going to Come From

This Course is Suitable for:

  • General Public​

  • Non-AI Engineers​

  • People who Interact with AI engineers – Marketing, HR, Finance,

  • Venture Capitalists​

  • People who Work for an AI Company but are not in an AI Implementation Function​

  • Policy Makers, Strategists, Entrepreneurs who Want to Build AI Products and Want to Understand Potential and Limitations

  • AI Engineers who Want to Learn How to Explain AI in Simple Terms to Their Colleagues and be Exposed to Wider AI Concepts and Tools

8 week Course Starts January 30

A course accessible to all levels. Taught by Ronjon Nag, and starts January 30 at Stanford University. 

Artificial intelligence (AI) is inspired by our understanding of how the human brain learns and processes information and has given rise to powerful techniques known as neural networks and deep learning. This course will provide an introductory overview of these artificial intelligence techniques. Additionally, we will inspect what is beyond deep learning as humans participate in a human-centered AI world. Through hands-on exercises, we will discover how current AI platforms compare with how the brain works, how systems actually “learn,” and how to build and apply neural networks. We will also discuss the real-world applications of neural networks. By the end of the course, students will have a greater understanding of neural networks and deep learning so they can: (1) converse with neural network practitioners and companies; (2) be able to critically evaluate AI news stories and technologies; and (3) consider what the future of AI can hold and what barriers need to be overcome with current neural network models.

This introductory course is open to students of all levels. No computer science or programming experience is needed, but an understanding of simple algebra is expected.