I like to work with *very small* #neuralnets. I developed one that uses a bottleneck and some extra tricks to turn a categorization into a sliding scale.
www.epcsirmaz.co.uk/tech_blog/20...
#keras #nn #cpu #ml
📣 New Podcast! "Elon Musk’s Secret AI Empire: The End of Everything We Know" on @Spreaker #autonomousfuture #dojo #elonmusk #fsdv13 #futureofai #infrastructureautonomy #muskecosystem #neuralnets #optimusgen3 #orbitaldatacenters #physicalai #robotics #silicontosovereignty #sovereignai #spacex
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
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
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
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
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
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
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
Paired Neural Network for Matching Experimental and Predicted Infrared Spectra.
Anal. Chem. 2025
doi.org/10.1021/acs....
#infrared #neuralnets
#NeuralNets vs. #CellularAutomata www.nets-vs-automata.net #AI #ML
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
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
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
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
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
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
Nothing like waking up to see your models training in a nice way. #neuralnets
Before #NeuralNets we had #TuringMachines, #FiniteStateAutomata and my favorite #NondeterministicFiniteAutomata
en.wikipedia.org/wiki/Nondete...
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
Learning by association: the Hebb’s rule - vzocca.substack.com/p/learning-b... #NeuralNets
This seems like a big deal #ai #neuralnets
www.psychologytoday.com/us/blog/the-...