GLASSR-Net: Glass Substrate Spectral Restoration Neural Network for Fourier Transform Infrared Microspectroscopy in the Fingerprint Region.
Anal. Chem. 2025
https://doi.org/10.1021/acs.analchem.4c06805
#infrared #neuralnets

This video will change your mind about Neural Networks - by Daniel Boctor

via Invidious:
https://inv.nadeko.net/watch?v=eCU2vQs0Q6s
(or YT: https://www.youtube.com/watch?v=eCU2vQs0Q6s)

Brilliant explainer video with great visualizations on how neural networks work.

#NeuralNetworks #NeuralNets #AI #ArtificialIntelligence #Video #Statistics

According to Sepp Hochreiter (Linz) we are now at the end of the scaling up phase of AI. Subsequently, we move into the industrialization phase. Great morning keynote at the #NeurIPS2024 conference. #ArtificialIntelligence #NeurIPS #DeepLearning #AI #DataScience #NeuralNets

🚀 Excited to announce my 5th course, Network Algorithms and Approximations! 🎓 Explore NP-complete problems (Set Cover, Unique Coverage, etc.), approximation techniques, and applications in data science, neural nets, & network optimization.

📺 First lecture: https://youtu.be/Tnm-8xieqB4
🎥 Weekly uploads: Wednesdays at 7 PM EDT. Playlist: https://youtube.com/playlist?list=PLx7SjCaKZzEIeJxOlTuXveAE5eY7WOYB9

Plus, all 4 previous courses (Game Theory, Algorithms, Lower Bounds, Data Science) are online! 🌐 https://youtube.com/@hajiaghayi

#NetworkDesign #Optimization #NPComplete #Algorithms #DataScience #NeuralNets

@kellogh It's an advanced pattern recognition machine, nothing more.

And yes, we don't really know what's happening within #LLMs #NeuralNets - and this makes it worse!

AIs are intuitive, not thinking machines, which is not enough to produce code that is high quality and can be trusted:

Very interesting thread:
https://floss.social/@janriemer/109479731267566070

Also, there is _so much more_:
- I want an #AI, that _expresses uncertainty_ with line number range
- asks questions back, not just spit out bs!

@laund

Remember last week's #nobel2024 #nobelprize in physics ?
I fondly remember my student days and the course on #NeuralNets in summer 1994 given by Helge Ritter
from #unibielefeld, where I learned about the #Hopfield model for the first time.
I was able to dig out my 30 year old lecture notes, including the citation of the seminal 1984 PNAS paper, see below. Neural Networks have come a long was since then ! Yours, Steffen

Wait, #LLMs or #NeuralNets can't reason!? This is so surprising! How could that happen!? This is unbelievable! I'm in shock!

But they surely have feelings, right...right!?

#AI #ArtificialIntelligence #LLM #NeuralNetworks

Deep learning folk should ban themselves from using the word "model" for a neural net! It makes scientific discussions really hard. Ecologist: "what is it a model of?" Physicist: "what is it a model of?" Empirical scientist: "Can I use this model in my model? What's our model of this model?"
.... Anyway: "network" is overloaded too, but as least "neural net" is pretty unambiguous (tho, I think, unfashionable). Let's neural net ("NN"). #deeplearning #terminology #academia #neuralnets

Does anyone know the URL for the "observatory" website (I think that's what they called it) where one of the AI/DNN labs had analysed various machine vision models and built a map of all of the nodes.

You could click on each node and see the images (and sometimes text) that triggered it, and also images that were generated when they excited that node while clamping others (like Deep Dreams)

I can't remember who it was and can't find it.

#AI #DeepNeuralNetworks #NeuralNets #YOLO #deepdream

The Artificial Intelligence Papers

Original Research Papers With Tutorial Commentaries

https://jamesstone.sites.sheffield.ac.uk/books/theaipapers

Friend and colleague Jim Stone has a new book, with a "no mercy" cover and bomber content for understanding the technical foundations of the current AI moment

#AI #generativeAI #NeuralNets

My seventh Math Research Livestream is now available on YouTube:

https://youtu.be/gKm-5vkb4yc

In this one I decided to pick up with where I ended the previous week, writing code for my discrete neural nets paper (https://arxiv.org/abs/2308.00677). This time I did actually get a decent amount of code written!

#math #livestream #Twitch #algebra #AbstractAlgebra #AI #MachineLearning #NeuralNets #combinatorics #UniversalAlgebra #CategoryTheory

My next Math Research Livestream starts in about 30 minutes on Twitch! Check it out at https://www.twitch.tv/charlotteaten. I decided to pick up with where I ended last week, writing code for my discrete neural nets paper (https://arxiv.org/abs/2308.00677).

#math #livestream #Twitch #algebra #AbstractAlgebra #AI #MachineLearning #NeuralNets #combinatorics #UniversalAlgebra #CategoryTheory

@Dianora @BeAware@social.beaware.live

Thanks for welcome and of course I got some tag for you. I live in #morocco am in #programming of #artificialintelligence #neuralnets working self-employed in #security domain. I'm interseted in #embedded programming #iot #laserspectrometry and a couple of other items.

My sixth Math Research Livestream is now available on YouTube:

https://youtu.be/SN2zNj-CXdI

In this one I was coding live for the first time, since I needed to get back to the code for my discrete neural nets paper (https://arxiv.org/abs/2308.00677). I actually spent most of the time refamiliarizing myself with the state of the code and discussing the context of the work, but I did start on the task I had in mind near the end of the stream.

#math #livestream #Twitch #algebra #AbstractAlgebra #AI #MachineLearning #NeuralNets #combinatorics #UniversalAlgebra #CategoryTheory

My next Math Research Livestream starts in about 30 minutes on Twitch! Check it out at https://www.twitch.tv/charlotteaten. I'm going to be coding live for the first time, since I need to get back to the code for my discrete neural nets paper (https://arxiv.org/abs/2308.00677).

#math #livestream #Twitch #algebra #AbstractAlgebra #AI #MachineLearning #NeuralNets #combinatorics #UniversalAlgebra #CategoryTheory

https://youtube.com/watch?v=N6Piou4oYx8&si=GCCIjfppdsXXkh5d

Interesting to see where #NeuralNets are developing and how clever architectures can get competitive performance with Transformers - while reducing O(N^2) compute resources to O(log(N))

🚥 Multiplexed neuron sets make smaller optical neural networks possible

https://techxplore.com/news/2024-05-multiplexed-neuron-smaller-optical-neural.html

#computing #neuralnets #optics #research #engineering #electronics #ai

#PromptEngineering is a task best left to #AI models | The Register @theregister / Thomas Claburn @thomasclaburn
https://www.theregister.com/2024/02/22/prompt_engineering_ai_models/

"(...) Machine-learning boffins find #OpenSource #NeuralNets can optimize their own queries (...)

enlisting an #LLM to refine prompts for improved performance on benchmark tests. (...)

"The point of the research was to discover if smaller, open source models can also be used as optimizers," explained Battle, "And the answer turned out to be yes." (...)"

avail for #remote #contract #work

ideal lang: #Golang
ideal OS: #Linux or macOS

nice tech (tho optional) to have in the mix: #Docker, #Kubernetes, #AWS, #LLM, #NeuralNets, #NN, #AI

https://youtu.be/blaS5fBJdsE?si=gDWydTZgTPr138av

In the age of feverish activity about #NeuralNets this #ElectronMicroscopy video of 1 mm^3 of mouse #neurons is amazing!

What strikes me about real neuronal networks is not only the raw density of neurons (75,000 in 1 mm^3) but staggering connectivity and functional diversity of neural connections.

Data set from Allen Institute & co behind brain-map.org

Paper on the wiring of the mouse brain cube here: https://doi.org/10.1101/2021.07.28.454025