Ruthin Austac K D G’s Post

TIL On September 9, 1947, Lieutenant Grace Hopper was working on the Harvard Mark II, one of the first programmable computers ever built. Suddenly, the system stopped working. When the Mark II was investigated to determine what went wrong, a moth was discovered, stuck between relay contacts inside the computer. Grace Hopper took the offending moth and documented it in her logbook, thus creating the first recorded instance of “debugging” in computer engineering. If that doesn't brighten your day up, I'm not sure what will. #happycoding #computerscience #debugging #ai #softwareengineering

What is Computer Vision? Check out noema's new video series: "Changing the world with Computer Vision". In the first installment, "What is Computer Vision", Bruno Oliveira, VP of Engineering for Noema breaks down Computer Vision and AI solutions and explains how they can make real-world impacts across industries. Watch the first installment here: https://lnkd.in/gghTpGE6 Bruno Oliveira Roman Lavlinskii Genie Peshkova #Noema #ComputerVision #AI #CV #EdgeComputing #DoingSoftwareRight

🎉 Excited to announce that I've just completed the Computer Vision Onramp self-paced course online! 📸🔍 Gained valuable insights into image processing, feature extraction, object recognition, and deep learning. Developed skills in working with neural networks, data augmentation, and model optimization. Eager to apply these skills in real-world applications and continue my journey in the world of computer vision. 🚀 #ComputerVision #MachineLearning #DeepLearning #DataScience #AI #ImageProcessing #NeuralNetworks #ContinuousLearning

Hello everyone! I am glad to share that my course about Image Classification and Object Detection using PyTorch, which contains information about common computer vision neural network architectures, with hands-on experience to train, test, and deploy on edge devices has just been published!  Click below to learn more :)

"RAG for Vision: Building Multimodal Computer Vision Systems" is a fascinating deep dive into the future of computer vision. The way it explains the evolution of traditional RAG into a powerful tool for handling complex visual data is truly insightful. The article not only demystifies the technical aspects but also offers practical guidance on applying Visual RAG in real-world scenarios. It's an excellent read for anyone interested in staying ahead in the AI and computer vision fields. Kudos to the author for making such a complex topic accessible and engaging! #ComputerVision #AI #MachineLearning #RAG #VisualRAG #DataScience #DeepLearning #TechInnovation #FutureOfAI #VideoUnderstanding #MultimodalAI #Tenyks

A Personal Take On Computer Vision Literature Trends in 2024 - I've been continuously following the computer vision (CV) and image synthesis research scene at Arxiv and elsewhere for around five years, so trends become evident over time, and they shift in new directions every year. Therefore as 2024 draws to a close, I thought it appropriate to take a look at some new or evolving characteristics in Arxiv submissions in the Computer Vision and Pattern Recognition section. These observations, though informed by hundreds of hours studying the scene, are strictly anecdata. The Ongoing Rise of East Asia By the end of 2023, I had noticed that the majority of the […] - https://lnkd.in/eV2YuJHd

A Personal Take On Computer Vision Literature Trends in 2024 - I've been continuously following the computer vision (CV) and image synthesis research scene at Arxiv and elsewhere for around five years, so trends become evident over time, and they shift in new directions every year. Therefore as 2024 draws to a close, I thought it appropriate to take a look at some new or evolving characteristics in Arxiv submissions in the Computer Vision and Pattern Recognition section. These observations, though informed by hundreds of hours studying the scene, are strictly anecdata. The Ongoing Rise of East Asia By the end of 2023, I had noticed that the majority of the […] - https://lnkd.in/eV2YuJHd

computer vision papers Towards AI

Top Important Computer Vision Papers for the Week from 01/07 to 07/07

computer vision papers Towards AI