🔗https://doi.org/10.3221/IGF-ESIS.79.03
🗞️Want to explore the microstructural mechanisms and parametric optimizations behind these results? Read the full open-access study to learn more.

🔗https://doi.org/10.3221/IGF-ESIS.79.03
🗞️Want to explore the microstructural mechanisms and parametric optimizations behind these results? Read the full open-access study to learn more.
What do you think of our Recurrent #NeuralNetworks based on dendritic computation?
For time series prediction with long horizons (tested on Lorenz #attractor and #epilepsy #EEG) it performs better than #LSTM and #GRU
link.springer.com/article/10.1...
Be BRAVE, and Launch your Startup in Reality: idea2product4profit.substack.com/p/how-to-fin...
#GrowthHacking #LLMs #LAMs #AGIs #Analytics #AI #NeuralNetworks #iOS #gamedev #OnlineBusiness #NN #NLU #defstar5 #Webdev #NaturalLanguage #NLP #aistartup #startup #entrepreneurs
Learning representations by back-propagating errors — the seminal paper that popularized backpropagation for training neural networks — was published on this day 40 years ago www.cs.toronto.edu/~hinton/page... #math #onthisday #machinelearning #neuralnetworks
AIチャットボットはなぜ「推論」できるのか:イェール大学主導の研究が明かすニューラルネットワーク内の暗黙的記号構造
大規模言語モデルのベクトル表現に潜む暗黙的記号構造を解明したイェール大学主導の最新研究について解説。
#LLM #NeuralNetworks #SymbolicReasoning #AIResearch #CognitiveScience
Ben Affleck geeks out about ML, neural networks & transformers—and it’s inspiring to see a star this versed in AI. #AI #MachineLearning #Filmmaking #BenAffleck #NeuralNetworks #GenerativeAI thedailytechfeed.com/ben-affleck-...
Quantum data reuploaders' frequency spectrum characterized exactly via Fourier analysis: directional structure stabilizes at depth 1, but spectrum grows polynomially. Rademacher complexity bound derived; experiments validate theoretical predictions.
Via #OPG_Optica: Inverse scattering of absorptive samples via beam propagation https://bit.ly/4j31fOh #NeuralNetworks #TissueImaging @utaustin.bsky.social 💡⚛️
Federated Learning on Stochastic Neural Networks
Before silence, there was a chamber where thought itself flowered. in the Biocognitive Observatory, minds wove luminous forests from memory, dream, and possibility.
I would have given anything to see it with my own eyes..
#ConceptArt #Xenobiology #ArtificialLife #NeuralNetworks #SciFiWorldbuilding
New arXiv work introduces ANCRe, a lightweight framework that learns residual connection layouts to address underutilized depth in foundation models, reporting under 1% overhead while improving convergence…
#ANCRe #DeepLearning #FoundationModels #NeuralNetworks
https://arxiv.org/abs/2602.09009
Via #OPG_AO: Efficient prediction of vector optical soliton propagation in birefringent fibers via an enhanced Fourier neural operator https://bit.ly/3Vjp0rp #NeuralNetworks #OpticalFibers💡⚛️
Introduction to Neural Networks, part 5: Gradient Descent janmr.com/posts/neural... #neuralnetworks #machinelearning #optimization
"The neural network went from being touted as the "answer to the internet" to being rendered obsolete by its own creators, a victim of the very "exponential scale" it was designed to tackle, forcing a paradigm shift from human-centered to algorithm-centric innovation #AI #NeuralNetworks"
The industrial revolutions extended muscle, reach and data. The latest wave hands over thinking itself, to machines that are associative, not logic engines. Easy to misread.
#AI #Cognition #NeuralNetworks
splectrum.world/blog/2026/10...
Neural network verification tools often lose precision by modeling input regions only as simple Lp-norm balls rather than real-world combinations of constraints. A new framework called CLAD introduces a…
#NeuralNetworks #Verification #AbstractInterpretation #AI
https://arxiv.org/abs/2609.34628
A scruffy 8, as seen by a neural net. Draw your own in Squoku’s browser lab and watch the scores change.
https://squoku.app/lab/
https://apps.apple.com/app/squoku/id6767931743
Researchers propose a five-layer architecture translating S3Q consciousness theory into a computational pipeline combining grounded sensorimotor situatedness, internal world-model simulation, and structural…
#MachineConsciousness #AIResearch #NeuralNetworks #ArXiv
https://arxiv.org/abs/2609.30743
A new study from #UofUHealth shows that #NeuralNetworks learn & fail, just like living brains. Training on simple tasks first helps both machines & mice excel at complex ones, while rushing ahead leads to the exact same predictable errors. www.news-medical.net/news/2026090...
For #SpotlightSunday, view this Summary by Moises Padilla of #OPG_AO: Definitive correction for nonlinear and random phase-step detuning using the universal phase-shifting algorithm https://bit.ly/46ENAp2 #NeuralNetworks #PhaseRetrieval 💡⚛️