I'm on Book Two of the Dungeon Crawler Carl series.
Non-Fiction:
More than I can count, as far as "I've read at least some, put a bookmark in it, and intend to finish it eventually." But in terms of the books I'm really actively engaging with right now, the top one is:
Neuroscience: Exploring The Brain[1] by Mark F. Bear, Barry W. Connors, and Michael A. Paradiso
And sort of in parallel with that, is
Analog Computing: Development, Programming, Applications, and Future Directions[2] by Bernd Ulmann
I have a longstanding general interest in what might be term "unconventional computing architectures" (or at least "non mainstream computing architectures"). And, frankly, a general interest in "unconventional" things all around.
In regards to analog computers, it's that, plus an awareness of the constraints of the Von Neumann Bottleneck[1] and a vague notion that analog computing might (keyword, might) offer some potential to avoid that, and/or avoid the insane power consumption of modern digital computers (relative to a given workload).
And that in turn ties back to the Neuroscience book, as I'm reading that mainly because of my interest in neuromorphic computing[2]. And neuromorphic computing and analog computing, while separate topics, seem like they may have some interesting touch-points.
Analog computing, one thing I'm glad I learned a little about! Also made part of the tennis for two game, and occasionally think about adding features. (Course, knowledge of digital electronics keeps interfering. In fact I used two 74-series logic chips in there.) Here's my build log, with everything that makes me cringe after a few years left in tact: <a href="https://blog.qiqitori.com/2024/08/implementing-tennis-for-two-using-op-amps/" rel="nofollow">https://blog.qiqitori.com/2024/08/implementing-tennis-for-tw...
mindcrime · · focus · HN ↗
I'm on Book Two of the Dungeon Crawler Carl series.
Non-Fiction:
More than I can count, as far as "I've read at least some, put a bookmark in it, and intend to finish it eventually." But in terms of the books I'm really actively engaging with right now, the top one is:
Neuroscience: Exploring The Brain[1] by Mark F. Bear, Barry W. Connors, and Michael A. Paradiso
And sort of in parallel with that, is
Analog Computing: Development, Programming, Applications, and Future Directions[2] by Bernd Ulmann
[1]: <a href="https://www.amazon.com/dp/0781760038/" rel="nofollow">https://www.amazon.com/dp/0781760038/
[2]: <a href="https://www.amazon.com/Analog-Computing-Development-Programming-Applications/dp/3119146285" rel="nofollow">https://www.amazon.com/Analog-Computing-Development-Programm...
jesuslop · · focus · HN ↗
mindcrime · · focus · HN ↗
In regards to analog computers, it's that, plus an awareness of the constraints of the Von Neumann Bottleneck[1] and a vague notion that analog computing might (keyword, might) offer some potential to avoid that, and/or avoid the insane power consumption of modern digital computers (relative to a given workload).
And that in turn ties back to the Neuroscience book, as I'm reading that mainly because of my interest in neuromorphic computing[2]. And neuromorphic computing and analog computing, while separate topics, seem like they may have some interesting touch-points.
[1]: <a href="https://en.wikipedia.org/wiki/Von_Neumann_architecture#Von_Neumann_bottleneck" rel="nofollow">https://en.wikipedia.org/wiki/Von_Neumann_architecture#Von_N...
[2]: <a href="https://en.wikipedia.org/wiki/Neuromorphic_computing" rel="nofollow">https://en.wikipedia.org/wiki/Neuromorphic_computing
qiqitori · · focus · HN ↗