The model claims an effectively unbounded receptive field with a fixed number of parameters. The abstract names no benchmarks or parameter counts. #MachineLearning #RNN

https://bymachine.news/infinite-context-recurrent-spatial-neural-computing

New paper out on #RNN with Binds group from @unipa_it and @neurotechx Berlin
"DIRU: Dendrite-Inspired Recurrent Units for Learning Chaotic Dynamics and Neonatal #Epilepsy Time Series"
link.springer.com/article/10.1...
Code: github.com/alecrimi/DIRU
Data: #EEG of Helsinki infant hospital

Auditing Closed-Loop Learning in Recurrent Neural Networks: Reproduction, Robustness, and General...

Aarav Sinha

Action editor: Nadav Cohen

https://openreview.net/forum?id=e0pSqIqwXO

#rnns #rnn #reproducibility

@ms.now #KatyTur On limiting AI you have simple levels like #CNN and #RNN these are for image recognition and voice recognition these are open source and not really a threat. Its the #LLM filled with complete works of copyright material , they are not paying for it as a library does and would.

Why RNNs need backpropagation through time

BPTT unrolls the loop so early steps get credit for later errors.

#AIEG #DeepLearning #RNN #MachineLearning

Full AI-EG explanation, free: https://navyduck.com/ai-essentials/ai-eg/ai-eg-e3-q005-why-do-recurrent-neural-networks-use

Update: implemented new research to fix epoch 2 from using Block 64 from linear sequence (combine similar dialogue together instead of pure random) frontier post has been updated. read about it hear -> frontier.catgameresearch.net/gru-l3-v3-ch...

#AI #RNN #GRU #RESEARCH #LLM #DEVLOG #TECHNOLOGY