Satya Mallick’s Post

From generating a 3D Avatar to driving an autonomous car or capturing a panorama picture in our phone, all these applications use a classic computer vision technique called feature matching . Surprising right! In my latest blog I tried to explain these points: 1. What is feature matching? 2. Why is feature matching still relevant in the deep learning era? 3. What are the recent advancements in feature matching? 4. What are the applications of feature matching? 5. How do feature matching algorithms work in code? Link to the article - https://lnkd.in/ghn_UBk4

Revolutionizing Mobility: Unveiling my self-driving car simulation powered by cutting-edge computer vision and reinforcement learning! 🚀🚗 Dive into how I've engineered autonomous intelligence from scratch, transforming concepts into tangible innovation. Let's drive the future forward together! #AI #SelfDrivingCars #ComputerVision #ReinforcementLearning #Innovation

🌟 Exciting Announcement! 🌟 Just published a must-read blog post on "Levels of AI Agents: from Rules to Large Language Models" on arXiv. This comprehensive post delves into the categorization of AI agents based on utilities and strength, drawing inspiration from the 6 levels of autonomous driving. It's a fascinating exploration of the evolution of AI agents from basic tools to advanced autonomous learning and collaborative behavior. Read the full post here: https://bit.ly/3WYx0gr and stay ahead of the latest in AI advancements! #ArtificialIntelligence #AIAgents #MachineLearning

Machine Learning (ML) has become a cornerstone of modern Artificial Intelligence (AI) systems, powering applications from personalized recommendations to autonomous vehicles. At the heart of ML lies its algorithms, the mathematical frameworks that enable computers to learn from data and make predictions or decisions without explicit programming. Understanding machine learning algorithms is essential for anyone involved in AI development, as these algorithms form the backbone of intelligent systems. #MachineLearning #ArtificialIntelligence #MLAlgorithms #DataScience #AIInnovation #TechLeadership #SupervisedLearning #UnsupervisedLearning #ReinforcementLearning #AIApplications #LifeAtCoders #CodersTechnology

We had a blast at CVPR in Seattle last month! In case you missed it, you can watch our full day tutorial on “All You Need to Know about Self-Driving”, now available on YouTube. This tutorial was updated this year to include modern advances in AI for self-driving including world models for driving, driving with LLMs, fast sensor simulation with Gaussian Splatting, language-guided actor behaviors, and more. We also discussed open- vs. closed-loop training and evaluation and recent advances in diffusion models. Let us know what you think! ⬇️ https://lnkd.in/eU9k-4N9

Digital Twins and reality capture meet generative AI technology to construct realistic training data to in turn build models for AI applications such as autonomous driving. For those out there who were wondering about the business case for those prompt-generated images and videos...

𝐇𝐨𝐰 𝐜𝐚𝐧 𝐰𝐞 𝐞𝐧𝐬𝐮𝐫𝐞 𝐧𝐞𝐮𝐫𝐚𝐥 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐚𝐫𝐞 𝐬𝐚𝐟𝐞 𝐢𝐧 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐬𝐲𝐬𝐭𝐞𝐦𝐬? Neural networks are everywhere—from autonomous vehicles to healthcare. But how do we make sure they don’t behave unpredictably in safety-critical situations? Starting next week, I’m launching a series about safety verification of neural networks using bounded interval propagation. Here’s what I’ll cover: • What is interval propagation, and why does it matter? • How Monte Carlo-style analysis complements interval methods. • Applications in AI safety and anomaly detection. Stay tuned for the first post! #NeuralNetworks #AISafety #MachineLearning #ArtificialIntelligence

🧠 Dive into the world of Machine Learning! 🤖 Whether you're a seasoned data scientist or just starting out, ML is revolutionizing industries and shaping the future. Embrace the power of algorithms and data to uncover insights and drive innovation. The possibilities are endless - from personalized recommendations to autonomous vehicles. Let's challenge boundaries and unlock the potential of AI. 💡 Join the movement, explore new horizons, and stay ahead of the curve. Keep learning, keep growing, keep pushing the boundaries of what's possible with Machine Learning! 🚀💻 #MachineLearning #AI #Innovation #DataScience #FutureTech

🚀 Excited to share my latest project in computer vision! 📸 Leveraging advanced algorithms and deep learning techniques, we're pushing the boundaries of image recognition and analysis. From autonomous vehicles to healthcare diagnostics, the applications are endless and transformative. 🌐 🔍 Highlights: - Enhanced object detection - Real-time image processing - Improved accuracy in visual data interpretation Let's connect and discuss the future of computer vision and its impact across various industries! 💡 #ComputerVision #DeepLearning #AI #Innovation #TechTrends

New article: The inconvenient truth of ground truth errors in automotive datasets and DNN-based detection 👉 https://bit.ly/494XxfX The article highlights the errors in ground truth data used for training deep neural networks in automotive applications, which can affect the accuracy of object detection systems. The authors from the WMG at the University of Warwick propose a method to mitigate these errors and improve the reliability of autonomous vehicles. By Pak Hung Chan, Boda Li, Gabriele Baris, Qasim Sadiq & Valentina Donzella #machinelearning #deepneuralnetworks #automotive