Octave Convolution

New compositor node in @Blender 5.0.0 called "Convolve" - a feature no one ever seems to discuss for some reason. I wanted to use bloom convolution kernels for a long long time #blender

Modes of convolution

Experimenting with using "OTT" (a famously aggressive multiband compressor) to make clean guitar tones 🎸 Works surprisingly well when paired with any old cabinet sim/convolution plugin. Not bad for a free plugin being used outside of its intended use case!

Been wanting to implement that fast GGX-based convolution for glossy reflection probes for quite a while and finally made some time for it:) https://t.co/mfa3XKhDFb

With constant improvements in its optimization passes, PolyBlocks-generated code continues to get better! We compare here against all other state-of-the-art production PyTorch backends on a variety of workloads, including transformer-based and convolution-based ones. The latest

i was reading Chris Olah's (@ch402) 2014 blog on convolutions and convnets yesterday, and this paragraph just made me smile. "used a new kind of neuron (ReLUs) and a new technique to reduce a problem called 'overfitting' (DropOut)" hahaha, these things that are second-nature now

a 3D animated illustration of a Convolution Neural Network (#Blender to #Midjourney) #lowpoly #b3d

University of Florida researchers built a silicon photonic chip that does AI convolutions with laser light + microscopic Fresnel lenses ... using up to 100× less power while hitting ~98% accuracy. Optical AI might be the future of sustainable computing. #AI #Photonics

Light-powered chip makes AI 100 times more efficient Researchers have developed a silicon chip that uses light with electricity to perform convolution operations for AI, dramatically reducing energy use and increasing speed.

Tellusim Fourier Transform now supports non-power-of-two sizes, powering the new RenderFlares plugin with fast convolution of user-defined kernels.

Convolution #ASongOrMovieForTheBrain

wrote this blog on some important topics about CNN like, - 1D n 2D convolution theory and code implementation - padding n output calculation - subsampling / pooling layers

This comprehensive tutorial series will teach you the mathematical foundations of deep learning, covering everything from linear algebra and tensors to backpropagation, convolutions, and gradient descent - perfect for understanding the theory behind neural networks. Link in

What a cool paper this! Unifies matrix multiplication, convolution and self-attention into a single framework! And coming from an independent researcher, it shows that there are a lot of ideas ready to pluck for all of us who pursue curiosity, not just those in big labs! 👏

Spoofing detection system for e-health digital twin using EfficientNet Convolution Neural Network Digital Twin is the mirror image of any living or non-living objects. Digital Twin and Cyber-physical system (CPS) provides a new era for industries especially in the healthcare

🧠 ML Interview Question: 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐂𝐨𝐧𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧? 📖 Article Link: https://t.co/ye2CwgfY4o 𝑬𝒗𝒆𝒓 𝒘𝒐𝒏𝒅𝒆𝒓𝒆𝒅 𝒉𝒐𝒘 𝒎𝒂𝒄𝒉𝒊𝒏𝒆𝒔 “𝒔𝒆𝒆” 𝒆𝒅𝒈𝒆𝒔, 𝒕𝒆𝒙𝒕𝒖𝒓𝒆𝒔, 𝒂𝒏𝒅 𝒔𝒉𝒂𝒑𝒆𝒔 𝒊𝒏 𝒂𝒏 𝒊𝒎𝒂𝒈𝒆? Convolution is a foundational operation in

"Convolution is all you need" A few years ago, I wanted to express this concept when I realized how much can be achieved with small models using convolutional layers. Now seems to be the right moment to share it, as there is a growing need for specialized, smaller models that

Engineers at the University of Florida, led by Volker Sorger, have created a light-based AI chip that performs convolution operations using microscopic Fresnel lenses and laser light instead of electricity. Announced Sept 8, 2025, and published in Advanced Photonics, the chip