Artificial Intelligence Archives - Page 15 of 15

A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going by Michael Wooldridge. Michael is Head of Department of Computer Science and Professor of Computer Science at the University of Oxford.

A Brief History of Artificial Intelligence Michal Wooldridge

Is artificial intelligence intimidating to you? Above all this is a very easy, enjoyable book. So, Michael states in his introduction “I’m writing a popular science introduction to artificial intelligence.”

Accordingly, Michael has researched artificial intelligence for over 30 years. He is focusing on multi-agent systems drawing upon ideas from game theory, logic, computational complexity, and agent-based modeling.

A short history begins with Alan Turing’s work in 1935 at Cambridge during World War II. This is beyond America’s cultural understanding of Turing’s life from the 2014 movie The Imitation Game. Alan Turing actually defined artificial intelligence.

Machine Learning

Chapter 5: Deep Breakthroughs, addresses why Google acquired DeepMind Technologies, a British-based research laboratory in 2014. Founded in September 2010, DeepMind was introducing a term bounced around a lot: Machine Learning.

There is certainly a great misunderstanding regarding machine learning and deep learning. Additionally, Micheal’s efforts are to be complimented in making this topic understandable.

The AI Advantage: How to Put the Artificial Intelligence Revolution to Work by Tom Davenport. Tom has written several well respected books. Reading Competing on Analytics in 2008, provides me stellar view of business metrics. Keeping Up with the Quants and Big Data at Work both reveal deep insights every organization must absorb to understand predictive analytics and big data. Surprisingly, the AI Advantage falls flat by comparison.

The book’s pitch is well researched, yet there is a surprising lack of unique cases compared to his three books above. Likewise, the opening chapter “Artificial Intelligence Comes of Age—Slowly” provides a general overview to IBM’s Watson. Small hits, and yet a larger unfocused ability of Watson to move the needle on cancer research.

The promise of AI’s subset, machine learning (ML) is very over-promoted across today’s IT sales marketplace. The opening chapter reveals some deep AI shortcomings that should not be ignored.

Meanwhile, examples throughout the book refer to the Robotic Process Automation (RPA), a somewhat flavor of machine learning. Likewise, this extends into Chapter 2: AI in the Enterprise, the impact of AI for knowledge workers. This type of technology advance is impacting a cognitive advantage in healthcare.

Surprisingly, The AI Advantage released in 2018. But the role of AI driven Deep Fakes is missing. Launched in 2014, Generative Adversarial Network (GAN) technology may indeed be the most contested application of ML.

16 Million views of a Deep Fake application on YouTube

While amusing for movies and celebrities, certainly there are significant impacts upon society regarding government, corporations, and foreign relations. Shockingly the manipulation of voice has already resulted in financial transfers to criminal organizations.