holy shite REC! Looks like pretty good KoolAid!
I cut my teeth 40 years ago on APL. Feels like what I *wished for* back
then (studying Physics/Math with CS "just a tool").
As we talked a few years ago, I have a (still open, hanging fire)
project to do real-time stitching on a 360 stereogra
I watched the livestream from the TensorFlow Dev Summit in Mountainview
yesterday. The individual talks are already packaged up as individual
videos at
https://events.withgoogle.com/tensorflow-dev-summit/videos-and-agenda/#content,
but watching the livestream with the enforced moments of deadtime
Roger writes:
“This is getting sort of close to home, now, we're replacing cleverly contrived
numerical methods for exotic quantum physics with generic machine learning
algorithms.”
The compression is a factor of 40 better compared to those algorithms. The
problems aren’t super hard though,
Very exciting... I'll have to read deeper into this... I think we are
on the verge of another punctuation in our equilibrium (of Sci/Tech
advances)...
On 2/9/17 3:20 PM, Roger Critchlow wrote:
Okay, this one got published in Science today,
https://arxiv.org/abs/1606.02318, they solve an n-
On Thu, Feb 09, 2017 at 05:20:58PM -0500, Roger Critchlow wrote:
> Okay, this one got published in Science today,
> https://arxiv.org/abs/1606.02318, they solve an n-body quantum wave
> function with artificial neural nets, they earned two separate commentary
> articles:
>
How interesting! I have
Okay, this one got published in Science today,
https://arxiv.org/abs/1606.02318, they solve an n-body quantum wave
function with artificial neural nets, they earned two separate commentary
articles:
The challenge posed by the many-body problem in quantum physics originates
from the difficulty of d
