Ask HN: Best books to get a high-level overview of hard-tech fields?
I'd like to get to know more about hard-tech fields like genetics, robotics, BCIs, nanotech, AI, synthetic biology, energy, space, etc. Basically everything that will shape the future in a significant way, even stuff like 3D printing and VR.
My goal is to develop the basic understanding, so I could find startup ideas by figuring out how to apply my own expertise to these fields. Also to be able to better predict where these technologies are going, maybe even be able to more intelligently invest in startups.
Of course learning about each of these fields takes decades, so I'm looking for something accessible to a layman.
Can you share some good resources that will help me out?
6 comments
[ 3.0 ms ] story [ 27.8 ms ] threadOnce you can read and understand a paper and present it to your peers and they recognize you as a peer, you "know enough" about the field to contribute to it, and you don't actually need to pay for the degree to get there. But it might take decades anyway.
I think same applies to AI except in AI the lab can be an industry lab and the textbook can be 1st year calculus and linear algebra + a MOOC.
But you'll need to look for the books that are being used today because I was in school 15 years ago, and a couple things have occurred since then. RNAi wasn't big when I was in school for instance even though most of the labs knew of it, CRISPR was not even on the horizon (although you can understand how it works from a typical undergrad textbook).
It's common sense, but it's just great!
Best Overall: Brain-Computer Interfacing, RPN Rao
Solid Resource: Brain Computer Interfaces: Principles and Practice, Ed. John Wolpaw
For state of the art work you have to read scientific journals. Most of the (public) progress here is coming from academic labs.