@trengriffin Faggin, newly hired, got assigned a neglected project (Intel focused on memory, not logic at the time), an impossible schedule, and an angry, screaming customer (Shima/Busicom). Talk about necessity mothering the mother of all inventions :) #4004
https://t.co/WMt8aeh6R1
@trengriffin There's a fabulous video of Federico Faggin and Ted Hoff at the Computer History Museum reminiscing about how they (together with Stan Mazor and Masatoshi Shima of Busicom) designed and architected the 4004.
https://t.co/6ZzP9mB4Ys
"The world changed on Nov. 15, 1971, and hardly anyone noticed. It is the 50th anniversary of the launch of the Intel 4004 microprocessor..." https://t.co/i86kE4iDbH
Lovely accounts of the impact of Soviet publishers and (affordable) books on a whole generation or two of Indian youth.
Vividly remember the aftermath of the collapse of the Soviet Union and books flooding into my hometown - glut of awesome science books available for a dime!
“... Which is that we are a collection of fragile beings taking care of one another, and that those who do the lion’s share of this care work that keeps us alive are overtaxed, underpaid, and daily humiliated.”
A very nice profile, incl. his last days :(
https://t.co/ndmyQaWJ6B
Prof. Bradley Efron has written a lovely article about statistics in the age of deep learning.
I hope this becomes essential reading for anyone engaged in machine learning.
https://t.co/2AqdWANGFg
@arghya_dutta_@GururajanMP This was a nice read! And in character with his cross-disciplinary interests. I remember back in grad school he'd come to give a colloquium - i think it was on charge density waves or something - and ended up being about freak waves in oceans, and his art etc. Pretty amazing!
@_onionesque Last time I used it (cant even remember how long ago) in industry was to do signal processing stuff with Simulink and some interfacing with finite-element simulations. Its pretty nifty that way, but given Python's dominance now all across the high-level stack /
Like some way to quantify the economic impact of DFT, or Wavelet transform, or other compression algorithms, error correcting codes, optimization algorithms etc. would be super interesting imo!
A characteristically nice piece on recent developments in cubic optimization.
Got me thinking about a different issue: I wonder if anyone's done a study on cumulative economic impacts of various algorithms? (obviously motivated by the staggering $$$ impact of linear programming)