In this podcast, Alex Wissner-Gross from Gemedy sat with Vishal Kumar from AnalyticsWeek to discuss the convoluted world of intelligence in artificial intelligence. He sheds deep insights on what machines perceive as intelligence and how to evaluate the current unwrapping of AI capabilities. This podcast is a must-attend for anyone who wishes to understand what AI is all about.
0:28 Alex’s journey.
7:20 Alex’s role in Gemedy.
9:19 Physics of AI.
12:05 General use cases for distribution of AI capabilities.
15:00 State of AI.
20:03 Defining intelligence.
23:42 Maximum freedom of action.
28:12 Intelligence and maximizing future freedom of action.
30:10 Maximum freedom of action and maximizing impact.
31:45 Thoughts on deep learning.
36:55 Data sets or data models?
39:27 AI in the context of business?
44:08 AI and the protection of human interests.
48:40 AI that ensures the employability of humans.
51:11 Advice for businesses to get started with AI.
59:01 Alex’s ingredients to success.
1:01:16 Alex’s favorite reads.
1:04:26 Key takeaways.
Alex’s Recommended Listen:
Accelerando (Singularity) Mass Market by Charles Stross (Author) https://amzn.to/2GDkBUl
Diaspora: A Novel by Greg Egan https://amzn.to/2s1GF5L
Rainbows End: A Novel with One Foot in the Future Mass Market by Vernor Vinge https://amzn.to/2J3oarQ
Dr. Alexander D. Wissner-Gross is an award-winning scientist, engineer, entrepreneur, investor, and author. He serves as President and Chief Scientist of Gemedy and holds academic appointments at Harvard and MIT. He has received 125 major distinctions, authored 18 publications, been granted 24 issued, pending, and provisional patents, founded, managed, and advised 4 technology companies that were acquired for a combined value of over $600 million. In 1998 and 1999, he won the USA Computer Olympiad and the Intel Science Talent Search. In 2003, he became the last person in MIT history to receive a triple major, with bachelor’s in Physics, Electrical Science and Engineering, and Mathematics, while graduating first in his class from the MIT School of Engineering. In 2007, he completed his Ph.D. in Physics at Harvard, where his research on neuromorphic computing, machine learning, and programmable matter was awarded the Hertz Doctoral Thesis Prize. A thought leader in artificial intelligence, he is a contributing author of the New York Times Science Bestseller, This Idea Must Die, and the Amazon #1 New Release, What to Think About Machines That Think. A popular TED speaker, his talks have been viewed more than 2 million times and translated into 27 languages. His work has been featured in more than 200 press outlets worldwide, including The Wall Street Journal, BusinessWeek, CNN, USA Today, and Wired.
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