Anders+Kern UK Ltd’s Post

Thursday at 10:30am at #ICRA2024 come check out a recent T-RO paper on learning to predict dynamic scenes to enable indoor navigation by researchers at University of Toronto and Apple. https://lnkd.in/gGWdDsXE Paper title: The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation Authors: Hugues THOMAS, Jian Zhang and Timothy Barfoot Paper link: https://lnkd.in/gGWdDsXE Image caption: Anecdotal example showing the benefit of our Deep-SOGM predictions on a real robot. Without predictions, the robot sees an obstacle on its left and plans to go on the right. But the person is walking in that direction, forcing the robot to stop. With our predictions, the robot anticipates the person's movement and makes a plan to yield, without having to stop. #LaserRadar #HeuristicAlgorithms #DeepLearninginRobotics #LearningandAdaptiveSystems

Introducing SenseCAP Watcher, The World's First Physical AI Agent to Revolutionize Space Management SenseCAP Watcher identifies, monitors, and even interacts with objects of interest in the designated spaces. It comprehends behaviors, and statuses, and notifies anomalies —all based on voice commands. This standalone device is about 1/3 the size of an iPhone. It boasts a 1.46-inch touchscreen, a camera for capturing pictures, a microphone for wake-up word detection and voice commands, a speech interaction speaker, a scroll wheel/button for navigation and push-to-talk, and an RGB LED indicator for device status and notifications. It also includes a Grove connector and extension pin, enabling the addition of multimodal sensing capabilities. The software suite behind SenseCraft is a seamless operating toolkit that combines onboard tinyML models and Large Language Models (LLMs) running either on the cloud or locally on edge computers. SenseCraft supports no-code model training, and deployment via a mobile app and acts as the backbone for handling cloud services and supporting various applications when LLMs are deployed on the cloud. SenseCAP Watcher is now open for alpha test applications. Apply to join our journey to make this cool product live now! Links to the launch, application and live demo can be found in the comment. For those who are visiting the ongoing embedded world Exhibition&Conference, feel free to stop by our Stand 4-551 to get the first glimpse of the product as we've prepared a demo over there!!! #SenseCAPWatcher #tinyML #LLMs #AIAgent #SpaceManagement

Object Detection using YOLOv8. AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society. #vehicledetection Why choose YOLOv8? This model excels at pinpointing and classifying objects within images in real-time. Unlike older methods, YOLOv8 is a single-stage system, analyzing the entire image at once for efficiency. It excels in both speed and accuracy, making it suitable for various applications like self-driving cars and security systems. Just modify this AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society

The future is here!! The Sports industry is about to change thanks to Spatial computing for it. What do you mean by Spatial computing in simple terms? Spatial computing brings together data, logic, and 3D-contextualized information to converge the physical and digital worlds more accurately. It is the human interaction with a machine in which the machine retains and manipulates referents to real objects and spaces. Exar.liv is redefining the sports viewing experience with its state-of-the-art real-time data. People can now watch the sports with a 3D spatial sports experience. It will be launched in 2024. Now you can watch any sport like soccer, Basketball, Hockey, Golf or any gaming event at your leisure at your home. Thanks to LinkedIn for getting this info on the feed. #sportstech #spatialcomputing

The nature of our work as a video production company means we’re constantly coming into contact with new and emerging technology. Over the years we have been lucky enough to work with organisations such as Jisc, UK Research and Innovation and Siemans, Zenzic and countless university research groups which means that we get an insight into the latest innovations in science, technology and beyond. But if we are already filming self driving pot hole repairing technology, what will the future hold? Will everything in our homes be controlled by the blink of an eye? Will AI mean we don’t even have to go out and film anyone anymore? These are genuinely questions we discuss over our morning coffee.   #FutureTech #VideoProduction #ResearchandInnovation

The term “spatial computing” is a vague, imprecise term which could be applied to a variety of computational tasks, of which #XR would be a subset. #spatialcomputing

Meet Wavelet Beam @ IBC 2024 Book your demo here: https://lnkd.in/ev6nspy8 VIDEO IMPROVEMENT AND GPU BASED WORKFLOWS via SaaS Get rid of noise and grain in your film and video content with our unique and ultra fast GPU based low delay de-noising application. It performs strongly by RAW footage but also already compressed material can be very effective processed. Get the right cleanup for your different distribution feeds and homogenize your VOD catalog, so that your bandwidth ladder can be extremally enhanced. The picture quality of born digital video content with no noise but also 35mm film content will be optimized so that it is possible to produce ultra-low bitrates at highest quality. Wavelet Beam Products and Services: * IRIS: Video Noise Management * IRIS.ANALYST: Video Analystics * IRIS AI: Video Denoising & AI Upscaling * IRIS.RAW: Video RAW Denoising * AV1 & Film Grain Synthesis #IBC2024 #IRIS #Waveletbeam #IrisAnalyst #AV1 #FilmGrainSynthesis

Join me for an engaging dive into science – the most comprehensive one I can do! 🚀 Let's make it a blast! 🧬💫 P.S. One day, I'll have a grand portrait, I promise! Without sunglasses! 📸 #ai #sciencetechnology

Advancements in contact center technology is enabling enterprises to extract high-quality data from audio recordings in an AI-ready, structured format. And in real-time. Find out how it works...

Object Detection using YOLOv8. AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society. #dragonfruit detection Why choose YOLOv8? This model excels at pinpointing and classifying objects within images in real-time. Unlike older methods, YOLOv8 is a single-stage system, analyzing the entire image at once for efficiency. It excels in both speed and accuracy, making it suitable for various applications like self-driving cars and security systems. #objectdetection #ML #Al