Promaton’s Post

Check out our new blog post on ECCV 2024, which I wrote with the help of the other brilliant researchers at Promaton I attended the conference with in Milan 🚀🍦 Dive into the key takeaways and exciting advancements from the world of computer vision! #ECCV2024 🧠

Make sure to join us October 10 for the virtual AI, Machine Learning and Computer Vision Meetup! Register for the event - https://lnkd.in/gYNa6Yhe We have a great lineup of speakers including: * How Renault Leveraged Machine Learning to Scale Electric Vehicle Sales- Vincent Vandenbussche, Sr. ML Engineer / Author * RGB-X Model Development: Exploring Four Channel ML Workflows– Daniel G. at Voxel51 * Elasticsearch is for the Birds: Identifying Feathered Friend Embedding Images as Vector Similarity Search– Justin Castilla at Elastic #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

Make sure to join us October 10 for the virtual AI, Machine Learning and Computer Vision Meetup! Register for the event - https://lnkd.in/gYNa6Yhe We have a great lineup of speakers including: * How Renault Leveraged Machine Learning to Scale Electric Vehicle Sales - Vincent Vandenbussche, Sr. ML Engineer / Author * RGB-X Model Development: Exploring Four Channel ML Workflows– Daniel G. at Voxel51 * Elasticsearch is for the Birds: Identifying Feathered Friend Embedding Images as Vector Similarity Search– Justin Castilla at Elastic #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

Make sure to join us October 10 for the virtual AI, Machine Learning and Computer Vision Meetup! Register for the Zoom - https://lnkd.in/gYNa6Yhe We have a great lineup of speakers including: * How Renault Leveraged Machine Learning to Scale Electric Vehicle Sales - Vincent Vandenbussche, Sr. ML Engineer / Author * RGB-X Model Development: Exploring Four Channel ML Workflows – Daniel G. at Voxel51 * Elasticsearch is for the Birds: Identifying Feathered Friend Embedding Images as Vector Similarity Search – Justin Castilla at Elastic #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience #vectorsearch #elastic

Make sure to join us October 10 for the virtual AI, Machine Learning and Computer Vision Meetup! Register for the event - https://lnkd.in/gYNa6Yhe We have a great lineup of speakers including: * How Renault Leveraged Machine Learning to Scale Electric Vehicle Sales- Vincent Vandenbussche, Sr. ML Engineer / Author * RGB-X Model Development: Exploring Four Channel ML Workflows– Daniel G. at Voxel51 * Elasticsearch is for the Birds: Identifying Feathered Friend Embedding Images as Vector Similarity Search– Justin Castilla at Elastic #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

1, 2, 3 times 2 to the 6 Jonesing for your fix of the LabMed mix Ready to bring the mic to those burning questions you have about AI and machine learning at the next parallel session at #labmedUK24

One of the most important things that we need in order to understand generative AI is the "foundation layer" of statistical mechanics. This video presents a statistical mechanics overview, highlighting the "big concepts" and how they connect with each other, including microstates, entropy, the Boltzmann distribution, the partition function, and free energy. It shows how as a whole, they work together forming the stat-mech foundation for generative AI, along with the other two big foundation elements (reverse Kullback-Leibler and Bayesian conditional probabilities). https://lnkd.in/gefEPcXM

🚀Exciting News! We are thrilled to announce our participation in the 18th European Conference on Computer Vision #ECCV2024, happening from September 29th to October 4th at MiCo Milano! 🌍 As a leader in enabling robust, safe, and trustworthy computer vision models, we’re eager to connect with the brightest minds in the field and share insights on safe and performant machine learning technologies. Stay tuned to learn more about the innovations we'll introduce at this show!💡 #ECCV2024 #ComputerVision #AI #MachineLearning #LatticeFlowAI

🤔 How much do we really understand models like GPT-4? Here’s a challenge: AI models encode far more concepts than we can easily interpret. For example, individual neurons don’t represent just one idea—they often activate for completely unrelated ones (a phenomenon called polysemanticity). This makes it hard to figure out exactly how models decide what to say. Tools like sparse autoencoders are helping researchers extract and map these hidden features. But even with these breakthroughs, we’ve likely uncovered less than 1% of what’s actually going on under the hood. Understanding these systems is like trying to map a galaxy with a telescope that only sees the brightest stars. The question is: how much of this complexity will we ever be able to truly decode?

What if I told you that AI models organize knowledge in ways that resemble the human brain—specialized zones for tasks like coding, math, or conversations?  New research dives into the fascinating "geometry" of AI, uncovering how these systems compress complex ideas and create patterns from concepts. The insights could reshape how we understand and design smarter, more reliable AI.