banjo_milkman

7 ms·

31.
by banjo_milkman 6y ago
The Great Leveler: Violence and the History of Inequality from the Stone Age to the Twenty-First Century Seems moderately depressing so far.
32.
Obsolete SF Futures(antipope.org)
2 points by banjo_milkman 6y ago|0 comments
33.
The uncomfortable but inevitable process of cultural evolution(ryanavent.substack.com)
2 points by banjo_milkman 6y ago|0 comments
34.
by banjo_milkman 6y ago
if you don't test it then it doesn't work.
35.
by banjo_milkman 6y ago
DARPA does have some interesting VLSI projects running currently. Some of the ones I've noticed are: Chiplets: https://www.darpa.mil/program/common-heterogeneous-integrati... PIPES - optical chip io : https:&#x2F
36.
The Death of Corporate Research Labs(blog.dshr.org)
355 points by banjo_milkman 6y ago|178 comments
37.
by banjo_milkman 6y ago
Try Murakami, Knausgård and Ursula Le Guin. Hard-Boiled Wonderland and the end of the world is the most scifi Murakami. Wonderful stuff. Then read all his others. Knausgård 'My Struggle' is a very compelling personal story (5 vol
38.
TSMC to Build Supercomputing AI Chips, Ramps Wafer-Scale Computing(extremetech.com)
2 points by banjo_milkman 6y ago|0 comments
39.
Intelligent Memory for Intelligent Computing(graphcore.ai)
1 points by banjo_milkman 6y ago|0 comments
40.
by banjo_milkman 6y ago
On DNA/genetics: Life's Greatest Secret, Matthew Cobb Siddhartha Mukherjee's books: 'The Emperor of All Maladies' + The Gene are very good as an introduction (start off by watching the PBS documentary) Jim Baggott&
41.
Why general artificial intelligence will not be realized(nature.com)
3 points by banjo_milkman 6y ago|2 comments
42.
DeepMind AI reading list [pdf](storage.googleapis.com)
158 points by banjo_milkman 6y ago|24 comments
43.
by banjo_milkman 6y ago
Robert Caro's Lyndon Johnson biography (multiple volumes) (idolised by Conan O'Brien see https://www.nytimes.com/2019/04/17/style/conan-obrien-robert... - “I’m a fan to a disturbing level.”) Th
44.
by banjo_milkman 6y ago
https://www.amazon.com/Science-Radio-Paul-J-Nahin/dp/B01JXOE... is quite good for a simple introduction.
45.
Finding new physics will require a new particle collider(economist.com)
3 points by banjo_milkman 7y ago|0 comments
46.
What’s next for psychology’s embattled field of social priming(nature.com)
1 points by banjo_milkman 7y ago|0 comments
47.
The Deep Learning Revolution and Implications for Computer Architecture(arxiv.org)
2 points by banjo_milkman 7y ago|0 comments
48.
The Economist reviews a book reviewing The Economist(economist.com)
3 points by banjo_milkman 7y ago|0 comments
49.
by banjo_milkman 7y ago
My struggle book 6 by Karl Ove Knausgaard. Good, though I think I preferred the earlier books. It's still very compelling, but a little too much Hitler in this one Underland: A Deep Time Journey by Robert Macfarlane. Poetic landscape h
50.
by banjo_milkman 7y ago
Many ASICs are tested as 'soft' designs on FPGAs before becoming ASICs, which is essentially the same idea. It is a lot faster than verilog simulators.
51.
by banjo_milkman 7y ago
This. And a milk frother/warmer.
52.
by banjo_milkman 7y ago
I think this is more difficult than it sounds. Kid A is very different from kid B. I've found that things that 'work' with my kids don't work on other kids. Along these lines, I thought this book was interesting: The Gar
53.
by banjo_milkman 7y ago
This is horrifying. Similar practices in the City of London led to the 2009 financial crisis by eroding standards/regulation everywhere as described by Adam Tooze in Crashed. Some additional info here in Danish: https://www.
54.
by banjo_milkman 7y ago
Calculated Risk has a good record on these calls... really. He says not this year. https://www.calculatedriskblog.com/2019/09/update-predicting...
55.
by banjo_milkman 7y ago
This ties in nicely with chiplets: https://semiengineering.com/the-chiplet-race-begins/ - a way to integrate dies in a package, where the dies can use specialized processes for different functions - e.g. analog or digi
56.
The End of Moore’s Law and Faster General Purpose Computing, and a Road Forward [pdf](p4.org)
80 points by banjo_milkman 7y ago|70 comments
57.
World’s biggest chip created to meet demands of AI(ft.com)
10 points by banjo_milkman 7y ago|5 comments
58.
by banjo_milkman 7y ago
1. The Goodfellow book is the obvious one. Another option is 'Machine Learning: A probabilistic perspective' by Kevin Murphy, which does have exercises but has less material on CNNs IIRC and is slightly older. Also Bishop 'Pa
59.
by banjo_milkman 7y ago
Many people think FPGAs have the advantage over GPUs in machine learning inference. See the Bing FPGA stuff. Mostly due to lower power operations, but also a higher level of customization e.g. optimized 1 bit math if you want it, leading to
60.
by banjo_milkman 7y ago
Not really, but I suppose it depends on the application requirements. It typically takes under a second which is much faster than taping out another chip ;-) but could be problematic for real-time systems in some cases. It depends upon the

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