alechammond

4 ms·

1.
Who Needs DRAM? We Have Fiber(arxiv.org)
12 points by alechammond 3mo ago|2 comments
2.
Scholar Labs: An AI Powered Scholar Search(scholar.googleblog.com)
2 points by alechammond 11mo ago|0 comments
3.
by alechammond 2y ago
Thanks for the reply! > So running 500 sequential kMC simulations would take approximately 125 years - not ideal. Ah I see. Ya it’s hard to get around this… > is fundamentally stochastic, and not differentiable This is actually a comm
4.
by alechammond 2y ago
Interesting paper, thanks for sharing! Whenever I see physics-based inverse design using ML surrogates, I always ask, “why not optimize the problem directly” (and eg compute the gradient using an adjoint-variable method)? The paper implies
5.
by alechammond 2y ago
> They require significantly different fabrication processes, and we don't know how to fab them into the same chip as electrical ones. There are actually a few commercial fabs that will monolithically integrate the photonics, analog
6.
Magic Leap partners with Google to advance XR(magicleap.com)
4 points by alechammond 2y ago|0 comments
7.
Nvidia Blackwell Arch Technical Brief(nvdam.widen.net)
5 points by alechammond 3y ago|0 comments
8.
by alechammond 3y ago
Note that Meta recently added a Julia ruleset to its buck2 prelude set. An important step toward working with Julia on prod environments. https://github.com/facebook/buck2/tree/main/prelude/julia
9.
by alechammond 3y ago
I wonder why ORNL used AMDGPU.jl directly rather than something like KernelAbstractions.jl, which doesn’t require you to overspecialize to a particular architecture. I realize Frontier is all AMD. But the DOE labs have flipped back and fort
10.
A gymnasium for machine learning assisted computer architecture design(blog.research.google)
2 points by alechammond 3y ago|0 comments
11.
by alechammond 3y ago
> Greer believes that this is one of the first demonstrations of 3D printing of metal structures at the nanoscale. I may be missing something, but MIT has been doing something very similar for awhile now. The student (Dan Oran) even spun
12.
Silicon Photonics Key to Unlocking AI’s Full Potential(eetimes.com)
2 points by alechammond 3y ago|0 comments
13.
Build data apps in Julia. Fast(geniecloud.io)
1 points by alechammond 3y ago|0 comments
14.
The Bill Is Coming Due for China’s ‘Capitalist’ Experiment(nationalreview.com)
13 points by alechammond 3y ago|0 comments
15.
Sophia: Stochastic Second-Order Optimizer for Language Model Pre-Training(arxiv.org)
7 points by alechammond 3y ago|0 comments
16.
Meta unveils AI inference accelerator(ai.facebook.com)
3 points by alechammond 3y ago|1 comments