1000 Kelvin’s Post

🛠️ Artificial Intelligence and Machine Learning in Dead Reckoning IMU 🛠️ In GPS-denied environments, accurate navigation relies heavily on the performance of the Inertial Measurement Unit (IMU). Traditional IMUs face challenges like sensor drift and noise, but with Artificial Intelligence (AI) and Machine Learning (ML), we can take accuracy to the next level! 💡By integrating AI-driven Kalman filters, machine learning models for anomaly detection, and advanced sensor fusion techniques, IMUs can significantly reduce drift, filter noise, and self-correct in real-time. The result? Enhanced orientation and position accuracy—even in challenging environments. 🌍 Key Benefits: - AI/ML models help predict sensor errors before they impact performance. - Real-time anomaly detection keeps your IMU data clean and reliable. - AI driven noise filtering minimizes sensor drift, ensuring long-term reliability. 🚀 As we push the boundaries of aerospace, maritime, and autonomous systems, combining traditional IMU approaches with AI-powered insights is the key to unlocking new levels of precision. #AI #MachineLearning #IMU #AerospaceEngineering #AutonomousSystems #DeadReckoning

We take a holistic approach to vehicle optimization, examining every detail to improve performance and efficiency. Our use of AI, generative engineering, and graph technology in this process solidifies our position as a single-source provider for EV development. #generativeengineering #AI #vehicleoptimization

## Object Detection 🚗 Introducing my latest project that leverages the cutting-edge YOLOv8 object-detection algorithm to accurately count vehicles in real-time from video input. This advanced system detects and tracks various vehicle types, including cars, buses, and trucks, ensuring precise monitoring and data collection. 🚗 Ideal for traffic management, research, and urban planning, this project demonstrates the powerful application of deep learning in real-world scenarios. 📑 Algorithm Highlights: 1. YOLOv8 Object Detection:   - Utilizes the YOLOv8 model for real-time object detection.   - Accurately identifies and classifies vehicles, including cars, buses, and trucks. 2. CVZone includes various utility functions for tasks like image processing, shape detection,... 📜 Check out the project here: https://lnkd.in/gcu5DiBm #ComputerVision #AI #YOLOv8 #OpenCV #ObjectDetection #ObjectTracking #CountingVehicles

The engineering world is on the cusp of a revolution, powered by the latest advancements in Artificial Intelligence (AI). From self-learning machines that redefine the boundaries of innovation to AI-driven analytics transforming problem-solving methodologies, the impact is profound and far-reaching. One of the standout developments is in robotics, where engineers are crafting machines capable of learning and adapting to their environments. These advancements are not just theoretical; they're being applied in fields such as disaster recovery and space exploration, showcasing the practical benefits of AI in engineering. Moreover, AI's role in data analysis is revolutionizing the way engineers approach design and problem-solving, leading to more efficient and precise outcomes. As we navigate this exciting era of technological evolution, the possibilities seem limitless. Stay tuned as we explore how AI is setting the stage for a new era of engineering excellence. #AIInEngineering #Innovation #EngineeringRevolution 

Explore the power of #MeshWorks AI and ML framework in engineering! See how our models - CNNs, DNNs, approximation models, and response surfaces - provide tailored, accurate predictions and optimize engineering insights by linking visual parameters to output responses. Ideal for sensitivity studies and optimization, MeshWorks empowers robust analysis, even with minimal data. Watch the video here: https://lnkd.in/g3_564yy #DEPMeshWorks #AI #MachineLearning #PredictiveModeling #CAE #EngineeringSolutions #DetroitEngineeredProducts #SmarterSolutionsRealized

the activity on AI is running.....

📢 #HighlyViewedPapers 1.  Knowing Knowledge: Epistemological Study of Knowledge in Transformers 🔗 https://lnkd.in/eitsAc8p 2. Human Pose Estimation Using MediaPipe Pose and Optimization Method Based on a Humanoid Model 🔗 https://lnkd.in/eTyaxzWk 3. Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring 🔗 https://lnkd.in/eRUbeTuS 4. Machine Intelligence and Autonomous Robotic Technologies in the Corporate Context of SMEs: Deep Learning and Virtual Simulation Algorithms, Cyber-Physical Production Networks, and Industry 4.0-Based Manufacturing Systems 🔗 https://lnkd.in/e3gpczD2

In a recent leadership webinar, industry experts explored the transformative potential of AI in CAE and the key advances in computational design that driveinnovation in the automotive and manufacturing sectors. Hear from industry experts as they discuss challenges like AI training data, prediction accuracy, and global collaboration. 💡 Gain insights into overcoming these challenges, using AI alongside physics solvers, and deploying cloud-native simulation for distributed teams: https://hubs.la/Q02VQZ3_0 #AI #CAE #computationaldesign #innovation #cloudsimulation

Current Investment Spotlight: Geminus AI - Revolutionizing Engineering with Physics-Informed AI Solutions. Explore how Geminus AI is transforming operations with AI-driven optimization: https://lnkd.in/gT2StHTH

Is it possible to reduce support structures, hence cost-per-part (CPP) in #AM? Yes, this is exactly what #AMAIZE users do every day, leveraging advanced physics though a powerful #AIcopilot. In this video, 1000 Kelvin's Richard Williams walks you through the correction strategies to reduce support structures 🧑🏻💻 If you want to learn more, check out #AMAIZE at our website: https://lnkd.in/eQZD6khn #Additive #AM #AI #3dprinting #AICoPilot #DigitalManufacturing Omar Fergani Dr. Katharina Eissing Abedin Gagani