VxLabs’ Post

Ultralytics has just launched YOLOv11, and it’s a game changer in the world of AI. This latest version offers faster runtimes, higher accuracy, and improved efficiency across key tasks like object detection, segmentation, and pose estimation. 🔥 With a 22% reduction in parameters and significant performance boosts on both edge devices and cloud systems, YOLOv11 sets a new standard for AI models. Curious about how YOLOv11 can transform industries from healthcare to autonomous driving? Check out my detailed Medium https://lnkd.in/dFGpGz2x #YOLOv11 #AI #ComputerVision #ObjectDetection #DeepLearning #Innovation

🚀 The Next Wave of AI is Here: Physical AI is Revolutionizing Industries! At robolaunch, we've been at the forefront of this transformative journey since 2020, empowering manufacturing environments with our Industry Cloud Platform. By integrating on-prem environments and #GPU power, we enable seamless #AI and #robotics transformation, acting as the crucial link for Industry 4.0. Our mission is clear: to bring smart AI applications into production processes and robots (of any kind), driving the next wave of digitalization. Despite the successful real-life implementations in prominent industry locations, many end users are still catching up with this transformation. However, the tide is turning with major tech announcements shedding light on this new era. A recent article, "The Next Wave of AI is Physical AI," (visit: https://lnkd.in/gHBwUeBA) perfectly aligns with our vision. At Computex 2024, NVIDIA’s Jensen Huang emphasized, "Physical AI will revolutionize industries." We are proud to be a part of this groundbreaking movement, providing the tools and platforms necessary in a efficient manner for industries to harness the power of physical AI. #AI #robots #GPU #cloud #industry40

🚗 How can HYPER AI Project transform the #Mobility and #Automotive industries? ➡ https://lnkd.in/ebqDJJxK ⚡ As vehicles become increasingly automated and electrified, they come equipped with significant computing power. Yet, these potential computing resources remain mostly untapped during vehicle downtime. 💡 The HYPER AI Project Mobility & Automotive use case, led by Virtual Vehicle Research GmbH, aims to change this, by developing a service offering idle edge computing power in #ConnectedVehicles as a computing resource. Not only could this allow car owners to reduce ownership costs by reselling computation time, but this model could also offer a means towards meeting the growing #compute demand for processing larger workloads. 🚀 Discover how this use case could create new opportunities in mobility: https://lnkd.in/ebqDJJxK 👉 Sign up to hear more about the broader context of this research at the 8th October Cognitive Computing Continuum webinar: https://lnkd.in/dCsVJHGq #HYPERAI #Mobility #AutomotiveInnovation #EdgeComputing #AI #ConnectedVehicles #DigitalTransformation

The convergence of Artificial Intelligence / Machine Learning with embedded systems has unlocked a plethora of business opportunities in the automotive sector – from analyzing vehicle sensor data for cloud applications such as predictive maintenance, to driving profiles for tailored insurance and many more. Read on at our blog to understand how the combination of VxWorks and the TI TDA4VH-Q1 system-on-chip is helping drive automotive AI/ML innovation: https://lnkd.in/dASPy8K3 #TexasInstruments #ArtificialIntelligence #AI #MachineLearning #ML #SoftwareDefinedVehicles #SDV #Embedded #VxWorks

Brilliant minds, groundbreaking ideas and the latest advances in #AI – all this awaits you at the IAV AI Day in Paris. Our experts will introduce you to the latest developments in artificial intelligence and vehicle technology. The highlights are: 🔹 Keynote by #Microsoft: Dimitri Obolensky will deliver an inspiring keynote on the latest trends and innovations in AI.  🔹 BlackBerry IVY and the Software-Defined Vehicle (#SDV): Clemens Satzger from IAV GmbH presents our partnership with BlackBerry. Learn how the BlackBerry IVY platform enables rapid AI implementation on ECUs, driving innovation and reducing costs. 🔹 Predictive AI Technologies: Warda Khan and Jan Baumann show how our predictive AI technologies make driving safer. With IAV SonicSeek, we improve the quality and safety of mechanical components, and with IAV Carlina, we predict the driver's next actions. 🔹 Data-driven field monitoring and probabilistic predictions: Mirko Knaak explains how OEMs can save significant quality costs through digital approaches and probabilistic lifetime predictions. 🔹 Better ask WiBo: Kevin Schössow will present how we ensure the right knowledge is available for everyone at the right time, fostering a willingness to work with AI through positive and seamless daily experiences. Experience all this and more at the IAV AI Day in Paris on November 13. For more information, please visit our website. Link in the comments. #ArtificialIntelligence #AIinfusedCompany

The convergence of Artificial Intelligence / Machine Learning with embedded systems has unlocked a plethora of business opportunities in the automotive sector – from analyzing vehicle sensor data for cloud applications such as predictive maintenance, to driving profiles for tailored insurance and many more. To learn more, here's a great blog on how the combination of VxWorks and the TI TDA4VH-Q1 system-on-chip is helping drive automotive AI/ML innovation: https://ow.ly/OtEK30sCGZK #ArtificialIntelligence #AI #MachineLearning #ML #SoftwareDefinedVehicles #SDV #Embedded #VxWorks #WeAreWindRiver

The convergence of Artificial Intelligence / Machine Learning with embedded systems has unlocked a plethora of business opportunities in the automotive sector – from analyzing vehicle sensor data for cloud applications such as predictive maintenance, to driving profiles for tailored insurance and many more. To learn more, here's a great blog on how the combination of VxWorks and the TI TDA4VH-Q1 system-on-chip is helping drive automotive AI/ML innovation: https://ow.ly/qIYq30sCF2b #ArtificialIntelligence #AI #MachineLearning #ML #SoftwareDefinedVehicles #SDV #Embedded #VxWorks #WeAreWindRiver

GenAI Performance 𝕰𝖓𝖌𝖎𝖓𝖊𝖊𝖗𝖎𝖓𝖌: Stage 6 - Real-time Inference & Latency Reduction In high-stakes environments where every millisecond counts, Real-time Inference & Latency Reduction becomes the game-changer. Stage 6 of GenAI Performance Engineering is all about ensuring that AI models not only deliver accurate predictions but do so instantly, enabling seamless, real-world integration. 🔍 The Need for Speed: In applications like autonomous driving, healthcare diagnostics, and financial trading, response times must be near-instantaneous. Even a small delay can lead to critical errors or missed opportunities. The goal of this stage is to optimize the model's latency—the time taken to process data and return predictions—without sacrificing accuracy. 💡 Key Techniques: 🔵 Model Quantization & Tensor Optimizations: Lowering precision in weights (e.g., 8-bit quantization) allows models to run faster and reduces computational overhead, perfect for real-time scenarios. Tensor optimizations further enhance efficiency by reorganizing how data flows through the model. 🔵 Edge Computing: Deploying models at the edge—closer to the data source—reduces the reliance on cloud services and slashes latency, enabling real-time processing in environments like IoT and autonomous vehicles. 🔵 Batching & Streamlining Operations: Implementing dynamic batching allows multiple inferences to be processed simultaneously, minimizing delays. Additionally, pruning unnecessary operations from the inference pipeline speeds up computation. 🚀 Real-World Impact: With the right latency reduction techniques, models can achieve inference times of less than 10 milliseconds, crucial for high-performance applications such as: Autonomous driving: where real-time object detection and decision-making are vital. Healthcare: where quick diagnostics can save lives in critical situations. Finance: where milliseconds can mean the difference between profit and loss in high-frequency trading. What’s Next? Stay tuned for Stage 7, where we’ll explore Continuous Monitoring & Feedback Loops to ensure ongoing model performance in production environments. Follow Harsha GN for cutting-edge insights in Big Data & AI. Do remember to click the 🔔 icon to get notified about my upcoming posts. #GenAI #LatencyReduction #RealTimeAI #EdgeComputing #HarshaInsights #AIOptimization #MachineLearning

Five years into 5G, we haven't fully realized its potential. The question remains: Can telco AI be the key to reducing opex and differentiating services? As CSPs dive deeper into telco-specific AI, we're seeing transformative changes. AI-driven network automation is not only cutting operating costs but also enhancing service reliability and customer satisfaction. Machine learning algorithms are helping predict and prevent network issues, ensuring smoother operations with minimal manual intervention. But there's more to this revolution! Telco AI is enabling CSPs to offer unique 5G services tailored to specific industry needs, from autonomous vehicles to smart cities. This opens up new revenue streams and provides a significant return on 5G investments. The synergy between telco AI and cloud-native technologies is another game-changer. Together, they enable end-to-end automation, real-time insights, and predictive analytics, driving smarter decision-making and more efficient network management. In this rapidly evolving digital landscape, CSPs must embrace AI-driven insights to stay competitive and agile. The future is AI-native, and those who strategically integrate AI into their operations will lead the charge in delivering superior customer experiences and innovative services. 👉 What are your thoughts on the role of AI in network automation and 5G monetization? How do you see this evolving in the coming years? Let's discuss in the comments below! 💬 #AI #5G #TelcoAI #NetworkAutomation #DigitalTransformation

NVIDIA & Pure Storage live TODAY! Embracing AI: The Automotive Revolution That’s Happening Now 🚗 𝐍𝐕𝐈𝐃𝐈𝐀 & 𝐏𝐮𝐫𝐞 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 𝐋𝐢𝐯𝐞 𝐓𝐎𝐃𝐀𝐘: Embracing AI – The Automotive Revolution! AI is reshaping the auto industry, impacting millions of jobs and billions of consumers worldwide.