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Artificial Intelligence Education Innovation Reading Technology

Latest Read: The Ten Equations That Rule the World

The Ten Equations That Rule the World by David Sumpter. He is a professor of Applied Mathematics at the University of Uppsala, Sweden. David was awarded the UK’s Institute of Mathematics 2015 prize for communicating mathematics to a wider audience in his research How to Model Honeybee Colonies.

The Ten Equations That Rule the World by David Sumpter

David provides a deep overview of ten equations: Betting, Judgement, Confidence, Skill , Influencer, Market, Advertising, Reward, Learning, and The Universal Equation. Each equation (algorithm) includes stories that certainly provide deeper understanding.

On the other hand, the opening chapter did not really connect with me. The Betting Equation focuses on UK soccer and for reveals how betting odds can be adjusted against reality.

Nevertheless, I am not sure why this did not resonate as the rest of the book is just delightful to read.

In addition, the second chapter, Judgement Equation is the basis of Bayesian statistics and this storyline really stuck with me.

Furthermore, it is great to see David reference The Signal and the Noise by Nate Silver within the third chapter, The Confidence Equation.

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Education Google Innovation Reading Technology

Latest Read: Data and Goliath

Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World by Bruce Schneier. He is a fellow at the Berkman Klein Center for Internet & Society at Harvard University, lecturer in Public Policy at the Harvard Kennedy School, and board member of the Electronic Frontier Foundation, AccessNow, and the Tor Project.

Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World

Bruce is moreover, writing a book about surveillance. He is addressing the who and why, how it works, and the business models. This is certainly a complicated issue. Most importantly, your privacy is very important.

Above all, we live in a surveillance state today. Bruce is sharing enormous amounts of resources revealing how vast amounts our personal data are harvested. In addition, Facebook is the greatest abuser, with Google’s Gmail not far behind.

One of the important lessons is that much of this has become voluntary. We want free services (email, cloud storage) or cheap hardware mobile phones and big, smart TVs, so we actually permit corporate surveillance within our living rooms.

In addition, this reminds me of lessons from The Age of Surveillance Capitalism by Shoshana Zuboff. Companies promise cheaper services and convenience to justify their surveillance technology, while local, state and federal governments make a promise of protection and physical security.

Apps are tracking us all day long

We certainly all understand by now that cellular carriers track everywhere you travel. Facebook records your location each time you open their app on your phone. In addition, Google Maps and their Waze traffic app records your GPS data, and even your credit card purchases.

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Artificial Intelligence Education Innovation Reading

Latest Read: Artificial Intelligence HBR Insights

Artificial Intelligence: The Insights You Need from Harvard Business Review by Thomas H. Davenport, Erik Brynjolfsson, Andrew McAfee, and H. James Wilson. This HBR series is certainly a very good collection of essays from leading AI experts.

Artificial Intelligence: The Insights You Need from Harvard Business Review

Thomas H. Davenport is a Distinguished Professor in Management and Information Technology at Babson College, a research fellow at the MIT Initiative on the Digital Economy, and a senior adviser at Deloitte Analytics. Erik Brynjolfsson is the director of MIT’s Initiative on the Digital Economy, Professor of Management Science at the MIT Sloan School of Management, and a research associate at NBER. H. James Wilson is a managing director of information technology and business research at Accenture Research. Andrew McAfee is a principal research scientist at MIT, studies how digital technologies are changing business, the economy, and society.

Indeed, this is not a general introduction to AI for business. At the same time, this does present readers with business advantages and challenges. There is no coding and the book is not full of technical jargon.

The messaging across this book is direct and startling for some: if your organization is not using AI you will soon be obsolete. This should not be a surprise since AI was ‘born’ in 1956. Yes, the last decade’s computing performance both on-prem and in the cloud have pushed AI further into markets. Yet the competitive lessons are valuable.

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Artificial Intelligence Education Google Innovation Reading Technology

Latest Read: Artificial Intelligence

Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell. Melanie holds a PhD in computer science from the University of Michigan. Melanie is a professor of computer science at Portland State University. In addition, she is an external professor at the Santa Fe Institute.

Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell

It is certainly very rare that a book makes an impact like Melanie’s effort. Actually, this is one rare event: I would recommend everyone read her prologue “Terrified” regardless of their life’s path. Yes, this book is that powerful.

Furthermore, Melanie studied with a leading cognitive scientist Douglas Hofstadter at Michigan and collaborated to create the Copycat program, which makes creative analogies in an idealized world.

Upon finishing the prologue, everyone should certainly continue reading. This is an easy to read, yet deep examination of the current state of artificial intelligence.

In addition, Melanie provides a good history of artificial intelligence (AI), from inception in 1954 to multiple “freezes” in AI funding to the promise of amazing breakthroughs and shocking failures. Every element for better or worse is evenly written. Bravo!

Certainly the most impressive points across each chapter is how Melanie grounds user’s expectations of AI versus the hype. This is both from the consumer to artificial intelligence engineers.

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Artificial Intelligence Education Innovation Reading

Latest Read: How Smart Machines Think

How Smart Machines Think by Sean Gerrish. Sean is a Senior Engineering Manager at Google leading machine learning and data science teams. He holds a PhD in machine learning from Princeton.

How Smart Machines Think by Sean Gerrish

This book is providing readers with a wonderful overview to advances in artificial intelligence, and specifically how machine leaning is now the most popular subset of AI.

How Smart Machines Think is addressing three key areas that reveal the leaps in advancements of machine learning development: The DAPRA Grand Challenge, the Netflix recommendation engine, and Neural Networks.

Each section is well written, providing above all, deep insights tied to objectives driving new business models.

While Sean is certainly providing a solid grounding in algorithms and their methodologies, I was certainly surprised at the depth of autonomous vehicles, recommendation engines, and game-playing. The larger lessons from his book include amazing progress in neural networks.

Machine Learning for autonomous vehicles

Clearly Sean understands the full picture of how this emerging technology began. The 2004 initial contest found team only to achieve a small distance, perhaps less than twenty five percent of the course before their AI systems failed.