neural

24 stories and discussions about neural, aggregated from every source we track.

1.

Stanford Health Care delivers the highest levels of care and compassion. SHC treats cancer, heart disease, brain disorders, primary care issues, and many more.

643 points•emigre•12 days ago•255 comments•
2.

A while back I wrote about language modeling without neural networks, where I generated Shakespeare with an unbounded n-gram model: no weights, no training, …

398 points•networked•9 days ago•161 comments•
3.

A ranked ladder for small neural networks that play strategy games. Train a model, write an adapter, upload two files, and get measured into a weight class from 8 KiB up.

115 points•codetiger•10 days ago•41 comments•
4.

Contribute to chrishayuk/larql development by creating an account on GitHub.

5 points•sylq•6 months ago•1 comment
5.

Posted by Jakob Uszkoreit, Software Engineer, Natural Language Understanding Neural networks, in particular recurrent neural networks (RNNs), are n...

4 points•adsouza•about 9 years ago•0 comments
6.

Paper Tape is All You Need. Contribute to dbrll/ATTN-11 development by creating an account on GitHub.

3 points•raymii•6 months ago•0 comments
7.

The assumption that waking life consists of a stream of conscious representations has inadvertently led consciousness science to its current impasse.

2 points•asnelt•1 day ago•0 comments•
8.

A kart racer with no track, no physics and no renderer. The model paints every frame from the last seven and your keys.

2 points•codelion•3 days ago•0 comments•
9.

Implicitly defined, continuous, differentiable signal representations parameterized by neural networks have emerged as a powerful paradigm, offering many possible benefits over conventional representations. However,…

2 points•peter_d_sherman•6 days ago•1 comment•
10.

We study empirical scaling laws for language model performance on the cross-entropy loss. The loss scales as a power-law with model size, dataset size, and the amount of compute used for training, with some trends…

2 points•thoughtpeddler•6 days ago•0 comments•
11.

Watch a small neural network learn to defend a tower in seconds, scored by a real Clash Royale simulator compiled to WebAssembly and running in your browser.

1 points•itzikkatz•about 13 hours ago•1 comment•
12.

A Vulkan reimplementation of NVIDIA's DLSS 5 Neural Rendering network, bit-exact against the original. - maanHimself/OpenDLSS-NR

1 points•sagacity•about 17 hours ago•0 comments•
13.

Open source neural network based chess engine

1 points•modinfo•about 18 hours ago•0 comments•
14.
1 points•FrereKhan•about 21 hours ago•0 comments•
15.
1 points•stardomSerf•1 day ago•0 comments•
16.

A collection of thoughts on technology and other things

1 points•flxai•4 days ago•0 comments•
17.

StarCraft: Brood War AI — a neural network trained by self-play RL. - tscmoo/pluto

1 points•__cayenne__•5 days ago•0 comments•
18.

Advances in neural theorem provers have been impressive, but the successes obscure a broader vision of what AI can do for mathematics and how mathematicians can engage with AI. This essay advances a more expansive and…

1 points•butokai•6 days ago•0 comments•
19.

Perfect Green Screen Keys. Contribute to nikopueringer/CorridorKey development by creating an account on GitHub.

1 points•FrojoS•7 days ago•1 comment•
20.

A NTC implementation written for Apple Silicon

1 points•ibobev•10 days ago•0 comments•
21.
1 points•__rito__•10 days ago•0 comments•
22.

ESP32-S3 A2-Full NAM pedalboard with direct SD-card NAM loading and a Gea-compiled native frontend - dashersw/coyopedal

1 points•arbayi•11 days ago•0 comments•
23.

The fundamental problems of classical machine learning are: Machine learning models require big data to train Machine learning models cannot extrapolate out of the their training data well Machine learning models are…

1 points•pek•over 6 years ago•0 comments
24.

Early POC of genetic neural architecture search. Contribute to joeddav/devol development by creating an account on GitHub.

1 points•unbalancedparentheses•over 9 years ago•0 comments

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