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About Michael Barnard

Michael Barnard is Chief Strategist with TFIE Strategy Inc. He works with startups, existing businesses and investors to identify opportunities for significant bottom line growth and cost takeout in our rapidly transforming world. He is editor of The Future is Electric, a Medium publication. He regularly publishes analyses of low-carbon technology and policy in sites including Newsweek, Slate, Forbes, Huffington Post, Quartz, CleanTechnica and RenewEconomy, and his work is regularly included in textbooks. Third-party articles on his analyses and interviews have been published in dozens of news sites globally and have reached #1 on Reddit Science. Much of his work originates on Quora.com, where Mike has been a Top Writer annually since 2012. He's available for consulting engagements, speaking engagements and Board positions.



Author Archives: Michael Barnard

Why Thorium Nuclear Isn’t Featured on CleanTechnica Redux

October 30th, 2019 | by Michael Barnard

Seven years ago, CleanTechnica published its policy position to not cover thorium nuclear reactors. Today, the United States has a Democratic Presidential candidate in the top 10 who loves thorium, yet CleanTechnica still ignores it. Why is that


That Moment When An AI Velociraptor Learns To Turn Off The Lights

October 28th, 2019 | by Michael Barnard

We can impose our biases about the salient on neural nets and that has significant value, for example in looking at user experience wire frames and assessing how useful they are in delivering stakeholder value. But we will also be surprised by what the alien quasi-intelligences we are creating consider salient


What Does An AI Velociraptor Have To Do With Rubik’s Cube?

October 24th, 2019 | by Michael Barnard

We never think about our hands, but there are 27 bones in each one, they are capable of remarkable degrees of movement and are one of the most sensor laden components of our bodies. They have evolved to remarkable degrees of competence, and speed cubers and magicians constantly amaze us with the art of the possible


How Would A Robotic Machine Learning Velociraptor Learn To Play Goalie?

October 20th, 2019 | by Michael Barnard

A neural net is trained to recognize that things that it is seeing are items of value, i.e. logs. It identifies them. But that’s a noun, not a verb. Where does the verb or action come from? That’s an attention loop. An attention space. People who care. Features. A neural net which is being trained to pay attention. Trainers. But little to no understanding of action. Yet



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