Showing results 9031-9040 of >9,111 (page 904)
https://www.emergentmind.com/papers/2402.17457

This paper shows that under μP scaling, neural network sharpness remains stable regardless of size, enabling effective learning rate transfer across models

https://aitimeline.world/timeline/mcculloch-pitts-1943

McCulloch and Pitts published 'A Logical Calculus of Ideas Immanent in Nervous Activity,' creating the first mathematical model of an artificial neuron....

https://www.techtarget.com/it-infrastructure/definition/What-are-predictive-networks-and-how-do-they-work

Learn how predictive networks use a blend of technologies to optimize networks, along with their use cases, benefits and implementation challenges

http://www.larsby.com/johan/2011/12/neural-network-audioeffect-imitator/

## Neural Network AudioEffect Imitator idea December 18, 2011 by Johan Larsby I just want to hang this idea out here, one idea reason is for me to collect my thoughts so that it’s not in shambles, so I can go back to check out what I want. Another reason would be for someone other then me to take the idea and run with it. OK, so this is what I want: * An AU/VST plugin that can load a settings file (ie neural network) that emulates an effect (be it an old vintage distortion or something other out there

http://jxmo.io/posts/connectionism-chinese-room

Can artificial neural networks create semantics from syntax? Essay about connectionism, the Chinese Room, and artificial neural networks

https://proceedings.neurips.cc/paper_files/paper/2019/hash/c61f571dbd2fb949d3fe5ae1608dd48b-Abstract.html

NeurIPS Proceedings Search Input Similarity from the Neural Network Perspective Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka Advances in Neural Information Processing Systems 32 (NeurIPS 2019) Abstract Given a trained neural network, we aim at understanding how similar it considers any two samples. For this, we express a proper definition of similarity from the neural network perspective (i.e. we quantify how undissociable two inputs A and B are), by taking a machine learning viewpoi

https://www.techpowerup.com/348003/nvidias-neural-texture-compression-cuts-vram-use-from-6-5-gb-to-970-mb

Saturday, April 4th 2026 # NVIDIA's Neural Texture Compression Cuts VRAM Use From 6.5 GB to 970 MB by AleksandarK Apr 4th, 2026 10:11 Discuss (81 Comments) NVIDIA has released more details about its Neural Texture Compression (NTC) technology, which significantly reduces GPU VRAM usage by up to seven times. In a technology demo presented during one of the GTC 2026 sessions, NVIDIA revealed that its Neural Texture Compression can reduce VRAM usage from 6.5 GB to just 970 MB in certain scenes. This was dem

https://www.aiweirdness.com/the-neural-network-will-name-your-17-06-01/

An important part of starting a new band is choosing an appropriate name. It is crucial that the name be unique, or you could risk at best confusion, and at worst an expensive lawsuit. The neural network is here to help. Prof. Mark Riedl of Georgia Tech, who recently provided the world a

http://artent.net/category/neural-nets/

We're blogging machines!

https://nstsupport.wardsystemsgroup.com/support/moving-averages-and-other-prices-are-bad-neural-net-inputs/

Menu How can we help you? Search For Search Moving averages and other prices are bad neural net inputs Created March 22, 2004 Author Ward Systems Group Support Category Tips & Techniques Many people love moving averages, especially adaptive moving averages. However, they are really bad inputs to neural nets in their raw form. So are open, high, low, close, and any other indicators that look like price. That includes things like Bollinger bands, or any sort of similar price levels. The reason is that most st

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