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Tag: #neuromorphic10 results

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1B Pure SNN Scales from Scratch

18yo dev trains 1.088B parameter pure Spiking Neural Network for language modeling from random init, converging to loss 4.4 after 27k steps. Exhibits 93% sparsity, untargeted Russian emergence, and self-shifting 39% activations to memory. Full code and 12GB checkpoint released on GitHub.

Reddit r/MachineLearningCommunityApr 13#spiking-networks#neuromorphic#sparsity
144M SNN LM Trained from Scratch

144M SNN LM Trained from Scratch

A 144M parameter Spiking Neural Network (SNN) language model, Nord, was trained from scratch on FineWeb-Edu for $10 on an A5000 GPU. It achieves 97-98% inference sparsity, better topic coherence than GPT-2 Small, and visible interpretability via spike rates. Supports online learning with STDP and features an original architecture.

Reddit r/LocalLLaMACommunityFeb 26#snn#neuromorphic#sparsity
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Open Catalyst N1/N2 Match Loihi Neuromorphic Features

Solo developer releases two open neuromorphic processors, Catalyst N1 and N2, achieving feature parity with Intel's Loihi 1 and 2. N1 offers 128 cores with 1K neurons each; N2 adds programmable neurons supporting 5 models. Benchmarks show 85.9% SHD accuracy, validated on FPGA with full Python SDK.

Reddit r/MachineLearningCommunityFeb 19#neuromorphic#snn#fpga
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Future Prospects of SNNs and LNNs

A Reddit post in r/MachineLearning discusses the future prospects of Spiking Neural Networks (SNNs), neuromorphic computing, and Liquid Neural Networks (LNNs). An undergrad notes their lack of mainstream adoption and asks if they are worth learning for projects. The community is invited to share insights on their potential.

Reddit r/MachineLearningCommunityApr 19#snn#lnn#neuromorphic
Lab-grown brains may awaken consciousness

Lab-grown brains may awaken consciousness

Scientists debate if lab-cultured neural organoids could develop consciousness, citing experiments where brain cells learned to play Pong-like games. Philosopher Matthew Owen argues organoids lack a 'subject' for true sentience, unlike AI. Ethical concerns rise as US funds organoid research to replace animal testing.