Tag Archives: Machine Learning

New Breakthroughs in Digital Manufacturing| 3D Printing| AI Creativity, Decision Making & Design Perception- with Hod Lipson, award-winning researcher, professor, and author

This episode is sponsored by the CIO Scoreboard

Hod Lipson is a fascinating conversationalist.
Hod is a professor of Mechanical Engineering and Data Science at Columbia University in New York, and a co-author of the award winning book “Fabricated: The New World of 3D printing”, and “Driverless: Intelligent cars and the road ahead”, by MIT Press. Before joining Columbia University in 2015, Hod spent 14 years as a professor at Cornell University. He received his PhD in 1999 from the Technicon – Israel Institute of Technology, followed by a postdoc at Brandeis University and MIT. His work on self-aware and self-replicating robots challenges conventional views of robotics, and has enjoyed widespread media coverage. He has also pioneered many aspects of 3D Printing, including bio-printing, electronics printing, and now Food Printing, and launching the firs open-source printer in the US, the Fab@Home in 2005. Lipson has co-authored over 300 publications that received over 12,000 citations to date. He has founded four companies, and is frequent keynoter both in industry and academic events. His TED Talk on self-aware machines is one of the most viewed presentations on AI and robotics. Hod directs the Creative Machines Lab, which pioneers new ways to make machines that create, and machines that are creative.

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The Inevitable Technology Forces Shaping Our Future and How to Position Yourself for this Change – with Kevin Kelly

This episode is sponsored by the CIO Scoreboard

Kevin Kelly, I think, may be the smartest person in the world…and I am only half-joking. I have been deeply interested in his work, and his thinking has influenced mine.

His 2010 book What Technology Wants changed my perspective on Information Technology in 2010; his book Cool Tools is a compendium of the best tools cultivated from his years of research. Among other resources I like is his blog post 1000 True Fans; his latest book just released this summer titled The Inevitable; and his podcast interviews on London Real, Tim Ferriss, Lewis Howes, and Chase Jarvis.

I asked him to come onto the show to get into topics that I had not heard him dive into from the perspective that I was curious about… I know you will be too.

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Deep Learning for Exponential Executives: What to Expect?

The Exponential Organization Executive (ExO) of the future will not just be the CIO, CISO, or VP of IT. ExOs will be business leaders who understand how to take advantage of information in their businesses.

They will understand Data (big data) both within and with their cloud providers. They will understand that IP intellectual property of this data can be exposed, developed, segmented, etc. by using APIs, Algorithms, Machine Learning, Deep Learning, and Artificial Intelligence. ExO Executives who “grock” this will apply significant advantage personally and to their businesses.

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AI and The Intersection of Psychology and Human Behavior

This episode is sponsored by the CIO Scoreboard

During my last interview I had a great talk with Daniel McDuff. Daniel’s research is at the intersection of psychology and computer science. He is interested in designing hardware and algorithms for sensing human behavior at scale, and in building technologies that make life better. Applications of behavior sensing that he is most excited about are in: understanding mental health, improving online learning and designing new connected devices (IoT).

Listen to more about why it is important to collect data from much larger scales and help computers read our emotional state.

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How Machine Learning Can Help IT Leaders Reduce the Ceiling of Complexity

One of your functions at your company for sure is to review trends and look into the future with your crystal ball. Machine Learning #ML is one of these areas that you need to pay attention to. I have been listening to signals from several sources recently through Singularity University and also sessions I attended at the RSA 2016 Conference by:

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