Numalis’ Post

Kalmogorov-Arnold Neural Networks (source IEEE Spectrum): the approach to tinier and interpretable AI. Instead of learning how strong the connection between two neurons is (a weight with fixed non-linearity - the Rosenblatt neuron, 1958 ) , K-A NN learns the nature of that connection, i.e. the function that maps input to output. And the model size is more compact ! https://lnkd.in/dEMHbZxt

AI System Revolutionizes Iceberg Mapping with Precision and Speed Scientists have trained an AI system using the U-net neural network to quickly and accurately map giant icebergs from satellite images. This system outperforms existing automated methods and is much faster than manual mapping. U-net’s superior ability to distinguish icebergs, even in challenging conditions, paves the way for more precise iceberg mapping services. Connect with Noelle's I ❤️ AI community on Skool: https://lnkd.in/e3MkSSHw Noelle R. #womenexecutives #responsibleai #aileadership #womeninai #10xtech #miami #ai

Mind-Boggling 🤖 AI Intelligence vs. Human Knowledge! 🌍 Join us as we explore the astonishing capabilities of AI neural networks and their superior knowledge-sharing skills compared to humans! Discover how these digital minds are reshaping our understanding and learning processes like never before! #AIIntelligence #KnowledgeSharing #NeuralNetworks #FutureOfLearning #TechRevolution #ArtificialIntelligence #Innovation #SmartTechnology #AIInsights #LearningEvolution

🚀 Dive into the captivating world of #MachineLearning! The Perceptron is a 🌟 milestone on the path to sophisticated #AI. 🧠 Discover how perceptrons decode complex data, laying the foundation for neural networks. https://lnkd.in/gz7B32mv #ExcitingTimesAhead #ArtificialIntelligence

How has AI evolved from theoretical frameworks to real-world applications? . . . Trace AI's growth from the early days of neural networks to the sophisticated systems shaping today’s tech landscape. Swipe to learn with Tipstat. #AIEvolution #DeepLearning #TechImpact

I want to emphasize that I am very impressed by LLMs and other advanced AI systems' capabilities (and we do R&D in the AI space @ ALVDIGITAL Systems; in fact, my diploma thesis way back then was about Neural Networks), but I don't fail to be amused by the answers to my question: "Who was the husband of Brigitte Sauzay?". This time from Mistral AI, please see below.

👀 How do machines see the world? Imagine teaching a robot to recognize a cup of coffee. Instead of painstakingly examining each pixel, it spots the handle, the round shape, and the steam rising up—just like we do. That’s the magic of Convolutional Neural Networks (CNNs)! From recognizing handwritten digits to enabling self-driving cars and diagnosing medical images, CNNs have become the backbone of modern computer vision, transforming how machines interpret the visual world. Curious to know how they do it? Dive into the full story of how CNNs changed the game in AI and how they "see" like us! Link to the blog - https://lnkd.in/gSHQnDGD #AI #ComputerVision #DeepLearning #datascience #MachineLearning #TechInnovation #TechExplained #CNN #InsideTheBlackBox

Kolmogorov-Arnold Networks mark a significant step forward in the evolution of neural network architectures. With their unique structure and capabilities, KANs are set to redefine the boundaries of what is possible with deep learning, making them a pivotal development in AI and machine learning technology. KANs replace each linear weight in an MLP with a learnable univariate function, typically parameterized as a spline. This allows KANs to not only perform the tasks traditionally handled by MLPs but to do so with enhanced accuracy and fewer parameters. For example, in problem areas such as solving partial differential equations (PDEs), a relatively simple KAN model outperforms a much larger MLP model both in terms of accuracy and computational efficiency. #KAN #LLM #attentionsai #artiGen

Ever wondered what role AI plays in creating high-resolution images? 🖼 In our latest blog post we discuss FeatUp, a cutting-edge Model-Agnostic framework. FeatUp empowers neural networks to comprehend intricate spatial relationships within images through a multi-view consistency, marking a significant leap forward in computer vision. Explore how FeatUp is revolutionizing the realm of computer vision tasks here 👇 https://shorturl.at/dpvFV Image credits: Mark Hamilton and Stephanie Fu (2024) #AI #ComputerVision #FeatUp #Innovation