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Latest Read: AI 2041

AI 2041: Ten Visions for Our Future by Kai-Fu Lee and Chen Qiufan. Kai-Fu is a leading AI researcher. with a Ph.D. from Carnegie Mellon University. He landed at Apple in 1990 for a decade, then went to SGI.

AI 2041: Ten Visions for Our Future by Kai-Fu Lee

Kai-Fu has previously served as the founding director of Microsoft Research Asia, then president of Google China, He departed to launch Sinovation Ventures, a venture capital firm in Beijing.

Over the course of my career I have grown rather confident that technology predications never really develop as projected. Hence, AI 2041 is no exception. While I do appreciate Chen’s writing skills, these predications are a real miss on the AI front.

In addition, each story begins with a brief note by Kai-Fu followed by Chen’s story. I must admit that I am certainly not really a fan of fiction, yet the detail writing by Chen is striking. Kai-Fu then closes each story with an accurate analysis of AI technologies key to the story.

Chapter Three: Twin Sparrows

Twin Sparrows, is certainly the best written chapter IMHO. The implementation of natural language processing, self-supervised training, and AI education made for a unique story, although straining at times.

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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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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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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.