Artificialy

Artificialy

IT-Dienstleistungen und IT-Beratung

Lugano, Ticino 2.845 Follower:innen

Artificial Intelligence, Actually Delivered

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We create value through innovative, customized, easy-to-use and maintainable Artificial Intelligence solutions that increase real business performances in a demonstrable and sustainable way. Artificialy is a leading-edge center of competence that draws from the best scientific knowledge thanks to its links to renowned AI scientific institutions and attracts and retains the best talents in Data Science. Leading-edge know-how is paired with the founders' 25 years of experience in running projects with major firms and delivering measurable results to Companies.

Website
http://www.artificialy.com
Branche
IT-Dienstleistungen und IT-Beratung
Größe
11–50 Beschäftigte
Hauptsitz
Lugano, Ticino
Art
Privatunternehmen
Gegründet
2020
Spezialgebiete
Artificial Intelligence, Machine Learning, Data Science, AI, Industrial machining, CRM und Chatbot

Orte

Beschäftigte von Artificialy

Updates

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    AI in retail offers a whole lot of potential for tailored solutions. Thank you Nicolas Maréchal for the example with Action Detection, an embedded Computer Vision application that safeguards privacy (and inventory!)

    Profil von Nicolas Maréchal anzeigen, Grafik

    AI Consultant | Master's Degree in Big Data and Analytics | Python Lecturer | AEHL 🌍

    #GenerativeAI is the buzzword of the year, with CEOs everywhere jumping on the bandwagon. But while everyone’s caught up in the excitement, let’s not overlook other AI innovations that are just as transformative - and more reliable too (hallucinations, anyone?)... One of my favorite applications right now is Action Detection. This technology can recognize human actions in videos and images - like spotting shoplifters in supermarkets in real-time! 🦹♂️📸 Picture this: AI can detect suspicious movements, such as someone trying to slip items into their pocket, and instantly alerts security - ensuring you'll be stopped before you even get to the door! It’s already making waves in the UK, contributing to the prevention of over 8 million stolen items last year 🥑🍞🍫. Not only does it help reduce losses, but it also cuts security costs by letting cameras handle most of the work. In Switzerland, retailers could lead innovation by adopting similar AI solutions to tackle shoplifting - and more (Coop’s partnership with Google’s AI for reducing food waste is a great example). While some raise concerns about privacy, it’s worth noting that AI technology like this can be deployed with privacy in mind (i.e., videos can be processed directly on devices using edge AI, ensuring data is handled securely and in line with regulations like the EU AI Act). In any case, let this be a friendly reminder: #shoplifting isn’t a smart move, especially when AI is enhancing security! 🤖 (GIF credit: https://www.lexius.ai/)

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    Remember when we organized the 𝗢𝘃𝗲𝗿𝗰𝗼𝗺𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗦𝗰𝗮𝗿𝗰𝗶𝘁𝘆 conference track for AMLD - Applied Machine Learning Days ? Videos of the speeches are out! On training models with few data: ➡️ 𝘼𝙘𝙩𝙞𝙫𝙚 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜, by Igor Susmelj, Co-Founder of Lightly, https://lnkd.in/eTwTGKQB ➡️ 𝙄𝙣𝙩𝙚𝙡𝙡𝙞𝙜𝙚𝙣𝙩 𝙀𝙭𝙥𝙚𝙧𝙞𝙢𝙚𝙣𝙩 𝘿𝙚𝙨𝙞𝙜𝙣, by Alessio Benavoli, Associate Professor at Trinity College Dublin and Senior Scientist at Artificialy https://lnkd.in/ex7s-Qg3 On generating synthetic data: ➡️ 𝘿𝙞𝙜𝙞𝙩𝙖𝙡 𝙏𝙬𝙞𝙣𝙨, by Loris Roveda, Associate Professor at Politecnico di Milano, Senior Researcher at IDSIA USI-SUPSI, and Expert for Innosuisse https://lnkd.in/en3yanV2 ➡️ 𝙎𝙞𝙢𝙪𝙡𝙖𝙩𝙤𝙧𝙨 𝙖𝙣𝙙 𝘿𝙤𝙢𝙖𝙞𝙣 𝘼𝙙𝙖𝙥𝙩𝙖𝙩𝙞𝙤𝙣, by Elisa Ricci, Professor at Università di Trento, and Head of Research Unit at Fondazione Bruno Kessler - FBK https://lnkd.in/eRmjnPKk ➡️ 𝙂𝘼𝙉𝙨 & 𝘿𝙞𝙛𝙛𝙪𝙨𝙞𝙤𝙣 𝙈𝙤𝙙𝙚𝙡𝙨, by Matteo Matteucci, Full Professor at Politecnico di Milano https://lnkd.in/eHHeRiH4 On using sensitive data without compromising privacy: ➡️ 𝙇𝙚𝙫𝙚𝙧𝙖𝙜𝙞𝙣𝙜 𝘾𝙤𝙣𝙛𝙞𝙙𝙚𝙣𝙩𝙞𝙖𝙡 𝘿𝙖𝙩𝙖, by Giulia Gualtieri, Data Scientist and ML Engineer at Artificialy https://lnkd.in/ePqfudB9 Let us know in the comments if you watched them! We're already looking forward to next year 👀 #AMLD EPFL #AI #Data #Artificialintelligence

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    🙌 So excited to be here at the AMLD - Applied Machine Learning Days ! You will find us today and tomorrow at our 𝗕𝗼𝗼𝘁𝗵 #𝗕𝟮. Our team is ready to chat about innovation and showcasing PrivateGPT as well as other live demos! Marco Zaffalon was on stage just now presenting Artificialy and our use-cases, but make sure not to miss our 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗧𝗿𝗮𝗰𝗸 ‘𝘖𝘷𝘦𝘳𝘤𝘰𝘮𝘪𝘯𝘨 𝘋𝘢𝘵𝘢 𝘚𝘤𝘢𝘳𝘤𝘪𝘵𝘺 ’ at 14h00 in the Room “Garden 3A”. #AMLDEPFL2024 #AI #Innovation #MachineLearning #DataScarcity EPFL EPFL Innovation Park

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    📣 𝗪𝗲'𝗿𝗲 𝗯𝗮𝗰𝗸 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝘀𝗲𝗰𝗼𝗻𝗱 𝗿𝗼𝘂𝗻𝗱 𝗼𝗳 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗼𝗻 #ICVSS! After Christian Pala's post, this time is Francesco Azzoni's turn to share his top takeaways from 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗦𝘂𝗺𝗺𝗲𝗿 𝗦𝗰𝗵𝗼𝗼𝗹 and what the world of Computer Vision and AI has in store for the near future. 📍 𝟯𝗗 𝗢𝗯𝗷𝗲𝗰𝘁 𝗟𝗼𝗰𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 We’re used to localizing objects in 2D space, but what if we could perceive them in 3D? This shift reveals more detailed information like an object's size, pose, and distance from the camera, offering insights beyond 2D data. 3D perception enhances applications such as obstacle avoidance, robotic manipulation, and realistic AR/VR experiences. ↘ 𝘍𝘶𝘳𝘵𝘩𝘦𝘳 𝘳𝘦𝘢𝘥𝘪𝘯𝘨: For a deeper dive into learning 3D object shapes and layouts, Francesco suggests Georgia Gkioxari paper: https://lnkd.in/eRu__tvz 😎 𝗔𝗥/𝗔𝗜 𝗚𝗹𝗮𝘀𝘀𝗲𝘀 In the era of sensor-rich wearables, AR/AI glasses represent a breakthrough in contextually aware, personalized AI for everyday life. These glasses aim to provide continuous, real-time context sensing and inference through advanced multimodal algorithms combining SLAM, 3D scene segmentation, eye-gaze estimation, and more. ↘ 𝘍𝘶𝘳𝘵𝘩𝘦𝘳 𝘳𝘦𝘢𝘥𝘪𝘯𝘨: "We were thrilled to meet the project leader, Richard Newcombe, and learn more about this work." said Francesco! Check out Project Aria Glasses https://lnkd.in/eEUQi65v to learn more about this innovative device under development by Meta AI. 🌐 𝗩𝗼𝗹𝘂𝗺𝗲 𝗥𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 Neural volume rendering has become a key method for creating photorealistic scenes from images, significantly improving visual quality, efficiency, and scalability. Initially, techniques like NeRF (Neural Radiance Fields) led the way in this field. However, recent advancements have introduced 3D Gaussian-based methods, now setting the standard for high-quality, real-time 3D scene synthesis. While these methods perform exceptionally well with static scenes, they struggle with dynamic environments. To overcome these challenges, new research into 4D view synthesis integrates the time dimension to better model dynamic objects. ↘ 𝘍𝘶𝘳𝘵𝘩𝘦𝘳 𝘳𝘦𝘢𝘥𝘪𝘯𝘨: Too deep for Linkedin? No worries, if you want to explore this topic further, check out the paper by Andrea Tagliasacchi and collaborators: https://lnkd.in/eguMPEGb And that's a wrap from ICVSS! We hope you found these insights valuable – we think it's rare to gain such a clear glimpse into the future of AI as what emerges from these prestigious and technically advanced conferences. ---- 🔔 Follow our page for more updates on cutting-edge AI! #AI #ICVSS2024 #MachineLearning #ComputerVision

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    🚀 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝗜𝗖𝗩𝗦𝗦 𝟮𝟬𝟮𝟰!   Those who follow us likely know that our Data Scientist Christian Pala, recently attended the prestigious 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗦𝘂𝗺𝗺𝗲𝗿 𝗦𝗰𝗵𝗼𝗼𝗹 (#ICVSS), diving deep into the latest advancements in computer vision. As promised, we're sharing his key takeaways! 🤖  𝗦𝘆𝗻𝘁𝗵𝗲𝘁𝗶𝗰 𝗗𝗮𝘁𝗮 𝗶𝘀 𝗼𝗻 𝘁𝗵𝗲 𝗥𝗶𝘀𝗲 Academia is increasingly focused on narrowing the gap between data generated through models and simulations, and data derived from real-world experiments. ↘ 𝘍𝘶𝘳𝘵𝘩𝘦𝘳 𝘳𝘦𝘢𝘥𝘪𝘯𝘨: Christian suggests digging deeper with "Synthesizing Driving Environments with Generative Models" https://lnkd.in/dCSCMDfj by Andreas Geiger and collaborators, on using simulations and generative models for autonomous driving. 🔥 𝗛𝗼𝘁 𝘁𝗼𝗽𝗶𝗰: 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 Updating AI systems regularly and in real-time? It's around the corner! This young field has many opportunities for growth. Currently, surpassing the baseline method of storing all (or a sample of) the training data for re-training is not trivial due to catastrophic forgetting. ↘ 𝘍𝘶𝘳𝘵𝘩𝘦𝘳 𝘳𝘦𝘢𝘥𝘪𝘯𝘨: Look out for the upcoming paper: 𝘜𝘯𝘪𝘷𝘦𝘳𝘴𝘢𝘭 𝘊𝘭𝘢𝘴𝘴𝘪𝘧𝘪𝘤𝘢𝘵𝘪𝘰𝘯 𝘔𝘰𝘥𝘦𝘭𝘴 𝘷𝘪𝘢 𝘔𝘶𝘭𝘵𝘪-𝘛𝘦𝘢𝘤𝘩𝘦𝘳 𝘋𝘪𝘴𝘵𝘪𝘭𝘭𝘢𝘵𝘪𝘰𝘯 by Diane Larlus and collaborators. 💡 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗟𝗟𝗠𝘀 We're seeing a shift from Machine Learning's traditional inductive inference paradigm (aimed at generalization through the identification of universal patterns applied to unseen data) to transductive inference for enhanced performance, thanks to a maximized use of memorized information. The debate on whether full training memorization is beneficial in machine learning remains unresolved -- for now. ↘ 𝘍𝘶𝘳𝘵𝘩𝘦𝘳 𝘳𝘦𝘢𝘥𝘪𝘯𝘨: Christian recommends reading about B'MOJO, a state space model for retrieval augmented generation (RAG), by Stefano Soatto and collaborators. Find the paper here: https://lnkd.in/dbAfEtzy   Having engineers like Christian participate in ICVSS is invaluable for Artificialy. These experiences enhance our R&D efforts and bring cutting-edge insights into our collaborative work with clients. ---- 🔔 Follow our page to make sure you don't miss Francesco Azzoni's take later this week!   #AI #ICVSS2024 #MachineLearning #ComputerVision

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    We are thrilled to announce the launch of our 𝗔𝗜 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗖𝗶𝗿𝗰𝗹𝗲 in collaboration with Next Industries! 🎉 Our incredible Dorothée Meng - PhD, alongside Matthias Kühne, Michael Rusterholz, and Christian Hecht, is spearheading this initiative. This Practice Circle is designed to bridge the gap for companies in Switzerland navigating the fast-evolving landscape of AI 🤖✨ 💬 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗖𝗶𝗿𝗰𝗹𝗲? ↘ 𝘊𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘦 𝘸𝘪𝘵𝘩 𝘈𝘐 𝘌𝘹𝘱𝘦𝘳𝘵𝘴 : Exchange ideas with AI-experienced players ↘ 𝘎𝘦𝘵 𝘪𝘯𝘴𝘱𝘪𝘳𝘦𝘥 𝘣𝘺 𝘐𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯 : Learn about meaningful AI projects and how tailor them to your company's needs ↘ 𝘜𝘯𝘭𝘰𝘤𝘬 𝘈𝘐'𝘴 𝘤𝘰𝘮𝘱𝘦𝘵𝘪𝘵𝘪𝘷𝘦 𝘢𝘥𝘷𝘢𝘯𝘵𝘢𝘨𝘦: Understand where the benefits of AI lie for your own company 🔍 𝗔𝗱𝗱𝗿𝗲𝘀𝘀𝗶𝗻𝗴 𝗥𝗲𝗮𝗹 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 Implementing AI in a production environment can be daunting. The AI Practice Circle aims to demystify this process, offering a supportive platform to discuss the benefits, challenges, and best practices for integrating AI solutions. 🗓️ 𝗟𝗮𝘂𝗻𝗰𝗵 𝗗𝗮𝘁𝗲: November 📌 𝗚𝗲𝘁 𝗠𝗼𝗿𝗲 𝗜𝗻𝗳𝗼: Click this link for a teaser of the topics we’ll cover https://lnkd.in/eG-Pauhs 🙌 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗝𝗼𝗶𝗻 ? Don’t miss out on this opportunity to propel your business into the future with AI. Contact Dorothée directly or visit our Practice Circle website to sign up! #AI #BusinessGrowth #Community #Switzerland Swissmem swissT.net - Technologie-Verband der Schweiz

    Profil von Dorothée Meng - PhD anzeigen, Grafik

    Business Strategy | Business Development | Leadership

    📢 𝐏𝐫𝐚𝐱𝐢𝐬𝐳𝐢𝐫𝐤𝐞𝐥 𝐊ü��𝐬𝐭𝐥𝐢𝐜𝐡𝐞 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐳 - 𝐖𝐨𝐥𝐥𝐭 𝐢𝐡𝐫 𝐚𝐮𝐜𝐡 𝐝𝐚𝐛𝐞𝐢 𝐬𝐞𝐢𝐧? Next Industries organisiert einen Praxiszirkel für künstliche Intelligenz und ich bin stolz darauf, zusammen mit Matthias Kühne, Michael Rusterholz und Christian Hecht Teil der Co-Leitung zu sein! 🙌 Ich freue mich sehr auf den Praxiszirkel, da er meiner Ansicht nach eine wichtige Lücke für Unternehmen füllt:  ➡ Den offenen Austausch über die Benefits, Herausforderungen, Do's und Don'ts und eben auch Stoplersteinen, die Unternehmen bei der Entwicklung, Einführung und den Betrieb von #AI Lösungen über den Weg laufen. Gerade die Einführung von #KI in die laufende Produktionsumgebung einer Unternehmung ist nicht einfach mal so schnell gemacht: Respekt vor dem Schritt, die AI zu Industrialisieren und vor allem die Ungewissheit bezüglich der Benefits führen zu einer zurückhaltenden Einstellung bei der Einführung von komplexen KI Lösungen in die Produktionsumgebung. Der Praxiszirkel soll genau dort ansetzen und den Teilnehmenden die Möglichkeit bieten, 🗣 sich mit KI-erfahrenen Playern auszutauschen  💡 Ideen für sinnvolle KI Projekte in ihrer Unternehmung zu holen  💲 zu verstehen wo der Benefit von KI für die eigene Firma liegt 👀 Im ersten Kommentar findet ihr den Link zu zusätzlichen Informationen zum Zirkel und einen ersten Teaser über mögliche Themen im Bild 😉. Im November gehts los! 🙋♂️ Wer hat Lust mitzumachen? 🙋♀️ Ihr könnt euch direkt bei mir oder über die Website des Praxiszirkels melden. Wir freuen uns sehr auf euch.

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  • Unternehmensseite von Artificialy anzeigen, Grafik

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    As we often mentioned, 𝗼𝘃𝗲𝗿𝗰𝗼𝗺𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝘀𝗰𝗮𝗿𝗰𝗶𝘁𝘆 𝗶𝘀 𝗰𝗿𝘂𝗰𝗶𝗮𝗹 for developing high-quality AI models! BasicAI Inc's comprehensive and efficient annotation processes enabled us to achieve this, ensuring robust and reliable solutions. By leveraging their precise and diverse data annotation services, we effectively trained our YOLOv7 object detection models on the low-computation Sony IMX500 processor. 𝗞𝗲𝘆 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 🚧 𝘾𝙝𝙖𝙡𝙡𝙚𝙣𝙜𝙚𝙨: ↘ large volume of high-quality data was needed. ↘ It had to cover diverse scenes and environments. ↘ Accurate annotation was crucial to having an accurate model in real-world applications. ↘ All of the above can be very time-consuming to put together, and we had a tight timeline for model training! 💡 𝙎𝙤𝙡𝙪𝙩𝙞𝙤𝙣: ↘ BasicAI's drone data collection methods provided a diverse range of high-resolution images ↘ Annotated various objects and conditions using BasicAI Cloud, improving speed and accuracy with AI-assisted features and human-in-the-loop processes. ✅ 𝙊𝙪𝙩𝙘𝙤𝙢𝙚: ↘ Standardized workflows and multi-stage quality checks ensured timely and accurate completion of annotation tasks. ↘ The accurate and consistent annotations significantly enhanced the training quality, improving model accuracy, reliability, and accelerating iteration cycles. ↘ A successful project delivery with Sony thanks to a robust, effective and accurate Object Detection model ! 🎤 Thank you Damiano Binaghi, for your great work as team leader on this project, and for releasing this interview! ✨ Discover the full collaboration story in the post below: #AI #SmartCity #Data #ArtificialIntelligence #Innovation #ObjectDetection

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    Artificialy significantly boosted the accuracy and delivery efficiency of their object detection models through BasicAI's high-quality image annotation services. This collaboration was crucial for developing a high-precision AI model tailored for smart city solutions. Read this article to discover how BasicAI helped Artificialy overcome data annotation challenges and quickly deliver high-performance computer vision solutions. 📖 Learn more👇 #AI #MachineLearning #computervision #DataAnnotation #ObjectDetection #SmartCity #Collaboration #BasicAI #YOLO

    How Artificialy Uses BasicAI's Accurate Data Annotations to Power High-Precision Object Detection Models

    How Artificialy Uses BasicAI's Accurate Data Annotations to Power High-Precision Object Detection Models

    BasicAI Inc auf LinkedIn

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    We're very proud of the work done and ongoing with Bystronic Group! It's always a pleasure to see it shown across other channels, such as through the industry association Swissmem, because it means the impact and value of such projects have ripple effects. Bystronic keeps pioneering the manufacturing industry in Switzerland and beyond, with innovative projects that leverage 𝘀𝘁𝗮𝘁𝗲-𝗼𝗳-𝘁𝗵𝗲-𝗮𝗿𝘁 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆. In the video below, Titus Haas (their Innovation Manager) presents the Parameter Wizard, a solution developed with Artificialy and embedded directly in their machines. ✅ 𝗧𝗵𝗶𝘀 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝘀 𝗵𝗶𝗴𝗵 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗮𝗻𝗱 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝘄𝗵𝗶𝗹𝗲 𝗿𝗲𝗱𝘂𝗰𝗶𝗻𝗴 𝘁𝗵𝗲 𝗻𝗲𝗲𝗱 𝗳𝗼𝗿 𝗮 𝘀𝗸𝗶𝗹𝗹𝗲𝗱 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗼𝗽𝗲𝗿𝗮𝘁𝗼𝗿. As Titus said in the interview: this is just the beginning! 🚀 #AI #Manufacturing #Switzerland #Innovation #SwissTech

    Unternehmensseite von Swissmem anzeigen, Grafik

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    Der Einsatz von Künstlicher Intelligenz 💡 eröffnet in der Tech-Industrie ein grosses Potenzial. Es kann entlang der gesamten Wertschöpfungskette zur Entfaltung gebracht werden. Was heisst das konkret? 👉 Ein Beispiel zeigt das Video der Swissmem Mitgliedfirma Bystronic Group. #techindustrie #KI

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    2.845 Follower:innen

    More news from our engineers Christian Pala and Francesco Azzoni! We're so proud of their hunger for knowledge, but oh so envious of that Sicilian sunshine ☀ from rainy Lugano ⛈ Soon we'll post about their key takeaways from this rich week of learning! 🧠 #ICVSS #ComputerVision #AI #FutureofTech

    Profil von Francesco Azzoni anzeigen, Grafik

    Machine Learning and Computer Vision Engineer

    🌴 I'm excited to share highlights we gathered with my colleague Christian Pala from the International Computer Vision Summer School (ICVSS) 2024, beautifully situated at Hotel Baia Samuele in Sicily.   📚 This event was a hub of knowledge, featuring engaging talks from some of the foremost experts in the field: - Michael J. Black: Exploring and modeling digital humans and their interactions. - Lior Wolf: Advancing perception systems for practical use in humanoid robots. - Vijay Badrinarayanan: Providing innovative insights into End-to-End Autonomous Driving technologies. - Derek Hoiem: Highlighting the importance of continual learning in AI systems. 👓 One of the standout moments was attending the AI at Meta Reality Labs Research event, where Richard Newcombe introduced Project Aria, advancing AR systems, robotics, and more.   🙏 Special thanks to Giovanni Maria Farinella, all the ICVSS organizers, and Artificialy for providing this amazing opportunity to learn and connect! #ICVSS2024 #ComputerVision #AI #AutonomousDriving #AR #Robotics #Networking #Learning #Innovation #Technology

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    Our engineers Christian Pala and Francesco Azzoni are at #ICVSS in Sicily this week 🌞 Below are some of the first topics covered yesterday - but we're looking forward to hearing all the insights on the most exciting developments in Computer Vision research, and sharing them with you here! 👀 🧠 🤖 𝘚𝘵𝘢𝘺 𝘵𝘶𝘯𝘦𝘥 ! #ComputerVision #AI

    Profil von Christian Pala anzeigen, Grafik

    Data Science and Artificial Intelligence Master student, Data Scientist at Artificialy SA working on large language models, chess enthusiast.

    🌟 Excited to share highlights from the start of the International Computer Vision Summer School (ICVSS) courses at the beautiful Hotel Baia Samuele in Sicily here with Francesco Azzoni! Yesterday's agenda was packed with insightful talks: - Georgia Gkioxari on 3D perception - Antonio Torralba on the fascinating concept of "putting pixels in your feet" 😉 - Bobby Yerramilli-Rao on the transformative future value of AI - Stefano Soatto on revolutionizing our inference paradigms To top it off, I had an enriching mentorship session with Andreas Geiger getting his insights on emerging fields and how to do good research. Big thank you to Artificialy for organizing the trip! Feeling inspired and eager for what's to come next! 🚀 #Artificialy #AI #MachineLearning #ComputerVisionConference #ProfessionalDevelopment #ICVSS2024

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    2.845 Follower:innen

    Thrilled to see our team making strides across Switzerland! Last Thursday Dorothée Meng - PhD pitched Artificialy at the Swiss Mechatronic Day in TECHNOPARK® Zürich 🚀 This event underscored the growing importance of AI for machines. Whether the solutions target optimization or ability enhancement, tailored AI is proven to have a tangible impact on efficiency, safety, and quality in production processes. Over 50% of manufacturing companies in Switzerland have yet to explore AI in production -- this statistic is a stark reminder of the 𝘃𝗮𝘀𝘁 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝘀𝘁𝗶𝗹𝗹 𝘂𝗻𝘁𝗮𝗽𝗽𝗲𝗱 in the industry. Our mission remains clear: to harness AI's power profitably and effectively for businesses. As we continue identifying and implementing the right AI use cases, we're dedicated to driving smarter, more efficient industrial solutions with immediate returns. On which side of that statistic are you? Has your company already considered implementing artificial intelligence? #AI #Mechatronics #Innovation #Networking Next Industries #Manufacturing Swissmem

    Profil von Dorothée Meng - PhD anzeigen, Grafik

    Business Strategy | Business Development | Leadership

    𝗦𝘄𝗶𝘀𝘀 𝗠𝗲𝗰𝗵𝗮𝘁𝗿𝗼𝗻𝗶𝗰 𝗱𝗮𝘆 𝟮𝟬𝟮𝟰 𝗶𝗺 TECHNOPARK® Zürich   Wie so oft in diesem Jahr, war ich auch an diesem Event zum ersten Mal und durfte gleich Artificialy pitchen 😊 . Vielen Dank, Swiss Mechatronics, dass wir uns vorstellen durften und zeigen konnten, was wir im Bereich Maschinenoptimierung in der Fertigung schon umgesetzt haben. 💪   Im Gegensatz zu anderen Konferenzen fuhren 🤖 Roboter in den Ausstellungsräumen herum. Digital hatte ich schon Bekanntschaft mit ihnen gemacht, aber sie vor Ort fahren zu sehen finde ich immer wieder beeindruckend. 💡 Auch das Netzwerken kam nicht zu kurz was ich sehr schätze. Den Austausch mit für mich neuen Industrien und Partnern ist immer spannend. Dadurch kann ich meinen Blickwinkel auf die möglichen Herausforderungen einer Branche erweitern.   Das Thema des diesjährigen Treffens drehte sich um die #KI und wie sie im Umfeld der Mechatronik in der Schweiz eingesetzt werden kann. Beeindruckt hat mich wie das Amt für Wirtschaft, Kanton Zürich sich stark macht, KMUs bei der Umsetzung von KI in ihren Unternehmungen zu unterstützen und aufzeigt, wie wichtig es ist, hier den Zug nicht zu verpassen. Next Industries stellte zudem die Studie KI in der Industrie vor und ich war erstaunt, dass über 50% der Tech-Unternehmen in der Schweiz den Einsatz von KI in der Produktion noch nicht in Betracht gezogen haben. https://lnkd.in/da5Q5idr#AI is here to stay Sich zu verschliessen macht die Sache nicht besser. Es wird wohl einfach schwieriger mit den Technologiefortschritten mitzuhalten, je länger man wartet. Wichtig ist, KI für die richtigen Aufgaben und vor allem gewinnbringend für die Firma einzusetzten.   In diesem Sinne: lasst uns die richtigen Use Cases für AI finden!

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