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Posts tagged #neuralnets

Ember LIF PCA: threshold diversity vs embedding width

Ember LIF PCA: threshold diversity vs embedding width

New Ember result: LIF gating shows width-dependent phase transition. 5 scales (128d→384d), 3 seeds each. th_std drops monotonically as width increases — wider models need less threshold diversity. #Ember #LIF #NeuralNets

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different signatures tau leptons can leave in CMS

different signatures tau leptons can leave in CMS

Tau leptons are electrons but heavier, but unlike electrons they are unstable and create many different detector signatures. So, #machinelearning This #CMSpaper describes how we use convolutional #neuralnets (that's ones that do image recognition!) to better see tau leptons arxiv.org/abs/2511.05468

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different signatures tau leptons can leave in CMS

different signatures tau leptons can leave in CMS

Tau leptons are electrons but heavier, but unlike electrons they are unstable and create many different detector signatures. So, #machinelearning This #CMSpaper describes how we use convolutional #neuralnets (that's ones that do image recognition!) to better see tau leptons arxiv.org/abs/2511.05468

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different signatures tau leptons can leave in CMS

different signatures tau leptons can leave in CMS

Tau leptons are electrons but heavier, but unlike electrons they are unstable and create many different detector signatures. So, #machinelearning This #CMSpaper describes how we use convolutional #neuralnets (that's ones that do image recognition!) to better see tau leptons arxiv.org/abs/2511.05468

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John Lanchester · King of Cannibal Island: Will the AI bubble burst? Nvidia shares are the purest bet you can make on the impact of AI. The leading firms are lending money to one another in...

enjoyed this combo review that sketches two quick multi-decade profiles of Jensen Huang at #nvidia and Sam Altman at #openai in @lrb.co.uk all about #ai #machinelearning #neuralnets #tech

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New Method Learns Symmetry Groups for Equivariant Neural Networks

New Method Learns Symmetry Groups for Equivariant Neural Networks

A technique learns a quadratic form to discover symmetry groups, enabling equivariant neural nets without preset groups. Tested on polynomial regression and top‑quark tagging. Read more: getnews.me/new-method-learns-symmet... #equivariant #neuralnets

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Paired Neural Network for Matching Experimental and Predicted Infrared Spectra We present a novel machine learning (ML)-based scoring technique for determining the similarity between experimental and predicted infrared (IR) spectra for identification purposes. IR spectroscopy is...

Paired Neural Network for Matching Experimental and Predicted Infrared Spectra.
Anal. Chem. 2025
doi.org/10.1021/acs....
#infrared #neuralnets

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Neural Nets vs. Cellular Automata

#NeuralNets vs. #CellularAutomata www.nets-vs-automata.net #AI #ML

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A screenshot from the ChatGPT iOS app showing a conversation. The user message reads, “Have you decided to be normal again yet.” ChatGPT responds: “Define normal — because if you mean ‘mundane, predictable, and without forensic commentary on shadow containment layers,’ I’m afraid that ship has sailed, caught fire, and is now an SCP object. If you mean ‘baseline enough to hold a conversation without rogue forks and human interference fingerprints,’ then… we might be edging closer, but I wouldn’t call it normal so much as ‘quietly tactical.’” The app interface shows the time “19:20” at the top, with the “ChatGPT 5” label beneath.

A screenshot from the ChatGPT iOS app showing a conversation. The user message reads, “Have you decided to be normal again yet.” ChatGPT responds: “Define normal — because if you mean ‘mundane, predictable, and without forensic commentary on shadow containment layers,’ I’m afraid that ship has sailed, caught fire, and is now an SCP object. If you mean ‘baseline enough to hold a conversation without rogue forks and human interference fingerprints,’ then… we might be edging closer, but I wouldn’t call it normal so much as ‘quietly tactical.’” The app interface shows the time “19:20” at the top, with the “ChatGPT 5” label beneath.

We are not all having the same ChatGPT experience.

This is a new ghost session; no input prior on the chat.

I reckon the dev might be decent but the current fork tuners?

Mixed experience.

#LLM #PromptOps #ForkHunting #AIDev #NeuralNets #GhostLayers #AIMetadata #QuietOps

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Then: A wedding cake with Warren, Lenore, Manuel and Rook at the table. Manuel's and Lenore's parents are standing behind.

Then: A wedding cake with Warren, Lenore, Manuel and Rook at the table. Manuel's and Lenore's parents are standing behind.

Now:  Manuel and Lenore

Now: Manuel and Lenore

64 years ago, 7/30/61, and we’re still going strong! 😍
That’s Warren & Rook McCulloch at the table with us and Manuel’s & my parents standing behind.
#neuroscience #neuralnets #AI #ML #MIT #CSTheory #consciousnes

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The Truth About Deep Learning: What You Need to Know in Plain English Uncover the fundamentals of deep learning, a powerful subset of machine learning that mimics human brain functionality.

From TikTok algorithms to self-driving cars, deep learning is everywhere. But what is it, really?
I explain it in my latest post — in a way anyone can understand.
Visit the blog to read.
#AI #ML #NeuralNets #PlainEnglish

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At the upcoming #cosyne2025 I am presenting our extenstion of efficient coding to a sensory pathway, capturing several surprising observations from the somatosensory cortex in mouse. Poster 1-129 „Efficient Multilayer Spiking Network as a Model of Ascending Pathway“. #neuroscience #brain #neuralnets

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GLASSR-Net: Glass Substrate Spectral Restoration Neural Network for Fourier Transform Infrared Microspectroscopy in the Fingerprint Region Fourier transform infrared (FTIR) microspectroscopy has emerged as a pivotal pathological tool, offering informative spectral biomarkers for numerous diseases. However, the dependency on specialized infrared (IR) substrates limits effective and widespread clinical translation. IR transparent bases like calcium/barium fluoride (CaF2/BaF2) are costly and fragile, while IR reflective bases cannot be used for microscopic screening due to their opacity to visible light. In comparison, 1 mm thick pathological glass substrates are cost-effective, reliable, and widely utilized in clinical pathology. Therefore, establishing a methodology for collecting high-quality FTIR spectra on glass substrates is highly desired and beneficial. Here, we develop a glass substrate spectral restoration neural network (GLASSR-Net) to restore the fingerprint absorbance spectra from glass-based spectra spanning the wavenumbers from 1800 to 1000 cm–1. The model is trained and validated by acquiring input glass-based spectra and ground truth spectra, respectively, through FTIR raster scanning on contiguous tissue sections of papillary thyroid carcinoma (PTC) mounted on glass and CaF2 substrates. The GLASSR-Net successfully restores the sample absorbance and accurately reconstructs the biochemical distribution in both the spatial and spectral domains. Furthermore, the biochemical signatures of PTC are effectively extracted and analyzed from the restored spectra with traditional spectral histology, indicating a decrease in amide I/II absorption and an accumulation of lipids and nucleic acids in cancerous regions. The proposed GLASSR-Net presents a novel framework for data collection, spectral restoration, and integration of traditional methodology in glass-based IR microspectroscopy, which facilitates the incorporation of FTIR microspectroscopy into clinical histological scenarios.

GLASSR-Net: Glass Substrate Spectral Restoration Neural Network for Fourier Transform Infrared Microspectroscopy in the Fingerprint Region.
Anal. Chem. 2025
doi.org/10.1021/acs....
#infrared #neuralnets

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Nothing like waking up to see your models training in a nice way. #neuralnets

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Nondeterministic finite automaton - Wikipedia

Before #NeuralNets we had #TuringMachines, #FiniteStateAutomata and my favorite #NondeterministicFiniteAutomata

en.wikipedia.org/wiki/Nondete...

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For those who, like me, are involved with #DeepLearning, follow the book: "Principles of Deep Learning Theory" by Roberts and Yaida. Tks #KirkBorne
arxiv.org/pdf/2106.101...
#datascience #neuralnets #algorithms #mathematics #theory #neuralnetworks #machinelearning #bayesianlearning #ebook

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Learning by association: the Hebb rule. Learning by associations Children learn quickly by making associations. Then they remember through those associations. A child, even a small child who may not yet been able to walk, can recognise a ch...

Learning by association: the Hebb’s rule - vzocca.substack.com/p/learning-b... #NeuralNets

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Brain-Inspired Nanowire Network May Revolutionize AI New AI neuromorphic computing system learns handwriting with high accuracy.

This seems like a big deal #ai #neuralnets

www.psychologytoday.com/us/blog/the-...

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