Lex Fridman, a Postdoctoral Associate at the MIT AgeLab, had a conversation with Kai-Fu Lee on Chinese soul, Difference between cultures of AI engineering, Role of data in near-term impact of AI, Impact of AI on jobs, Facing mortality and other issues.
Lex Fridman, had a conversation with Kai-Fu Lee on Chinese soul, Difference between cultures of AI engineering, Role of data in near-term impact of AI, Impact of AI on jobs, Facing mortality.
Robots are making their way into New York City’s restaurants.
A growing number of dining spots throughout town are using machines to prepare all manner of food and drink, in many cases replacing the employees who would normally handle the task. Think gizmos that can do everything from slice a sushi roll into eight uniform pieces to mix the perfect happy-hour cocktail.
I listened to the first hour. it takes time… and the right frame of mind, but it’s worth it.
Jeff Hawkins is the founder of Redwood Center for Theoretical Neuroscience in 2002 and Numenta in 2005. In his 2004 book titled On Intelligence, and in his research before and after, he and his team have worked to reverse-engineer the neocortex and propose artificial intelligence architectures, approaches, and ideas that are inspired by the human brain. These ideas include Hierarchical Temporal Memory (HTM) from 2004 and The Thousand Brains Theory of Intelligence from 2017. This conversation is part of the Artificial Intelligence podcast. Audio podcast version is available on https://lexfridman.com/ai/
INFO:
Podcast website: https://lexfridman.com/ai
Course website: https://deeplearning.mit.edu
YouTube Playlist: http://bit.ly/2EcbaKf
EPISODE LINKS:
Thousand brain theory: http://bit.ly/2Xl83he
On Intelligence: https://amzn.to/322Qly4
Numenta: https://numenta.com/
OUTLINE:
China is the world leader in facial recognition technology. But is the state using it to violate the human rights of its citizens?
The rules about what makes a good magnet may not be as rigid as scientists thought. Using a mixture containing magnetic nanoparticles, researchers have now created liquid droplets that behave like tiny bar magnets.
Magnets that generate persistent magnetic fields typically are composed of solids like iron, where the magnetic poles of densely packed atoms are all locked in the same direction (SN: 2/17/18, p. 18). While some liquids containing magnetic particles can become magnetized when placed in a magnetic field, the magnetic orientations of those free-floating particles tend to get jumbled when the field goes away — causing the liquid to lose its magnetism.
Now, adding certain polymers to their recipe has allowed researchers to concoct permanently magnetized liquid droplets. These tiny, moldable magnets, described in the July 19 Science, could be used to build soft robots or capsules that can be magnetically steered through the body to deliver drugs to specific cells.
Scientists at Berkeley Lab have made a new material that is both liquid and magnetic, opening the door to a new area of science in magnetic soft matter. Their findings could lead to a revolutionary class of printable liquid devices for a variety of applications from artificial cells that deliver targeted cancer therapies to flexible liquid robots that can change their shape to adapt to their surroundings. (Video credit: Marilyn Chung/Berkeley Lab; footage of droplets courtesy of Xubo Liu and Tom Russell/Berkeley Lab)