Lex Fridman explains that the best way to understand the mind is to build it in the clip from the opening lecture of the MIT Deep Learning lecture series.

Full video: https://www.youtube.com/watch?v=0VH1Lim8gL8

Website: https://deeplearning.mit.edu

This is a clip from the opening lecture of the MIT Deep Learning lecture series.
Full video: https://www.youtube.com/watch?v=0VH1Lim8gL8
Website: https://deeplearning.mit.edu

Siraj Raval wrote a research paper titled “The Neural Qubit” where he describe a quantum machine learning architecture inspired by neurons in the human brain.

Code: https://bit.ly/2jYh8u9
Paper: https://bit.ly/2ltxf3b

From the video description:

I’m pretty excited about quantum computing, it gives me a deep sense of wonder & confusion that i really enjoy. I’m so glad to be so confused (again)! I have lots more quantum machine learning papers to read in the coming weeks. In this episode, I describe the nonlinear motivations behind my paper, how i thought through the research process, and how i eventually came to some interesting results + conclusions. With the help of math, code, & manim(!) animations I’ll give it my best shot explaining some of the complex topics at the very edge of Computer Science I tackled. I hope you find it useful, enjoy!

What if we could fully map the inner workings of our brain, could we understand disease, consciousness, and what it is that makes us human. The only thing is in the way right now is the sheer engineering challenge of the task –There are more connections in the human brain than there are stars in the Milky Way. But, how far away are we from fully mapping the brain?