Kick-off for our expert group on the approval process of medical AI devices! As part of the cross-cluster project AI in medical technology, we aim to develop guidance for implementing the regulations introduced by the European AI Act while enabling innovation. For this, we have assembled a diverse group of experts from the fields of law, medicine, and AI. In today’s first meeting, we explored needs, uncertainties, and initial proposals with our experts, which will form the foundation of an upcoming whitepaper. Stay tuned for its publication later this year! Medical Valley EMN e. V. Bayern Innovativ GmbH Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie #medicalAI #medTec #AI #innovation #baiosphere
baiosphere
Technologie, Information und Internet
Munich, Bavaria 2.452 Follower:innen
The Bavarian AI Network
Info
baiosphere is the network of artificial intelligence innovators in Bavaria. We incubate and foster ai activities across academia and industry the Bavarian startup ecosystem. Our mission is to highlight and strengthen ai expertise made in Bavaria, benefitting the world. Our efforts are closely linked to the Hightech Agenda Bavaria, the tech strategy of the Bavarian State Government.
- Website
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baiosphere.org
Externer Link zu baiosphere
- Branche
- Technologie, Information und Internet
- Größe
- 11–50 Beschäftigte
- Hauptsitz
- Munich, Bavaria
- Art
- Regierungsbehörde
Orte
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Primär
Museumsinsel
Munich, Bavaria 80538, DE
Beschäftigte von baiosphere
Updates
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📢 Join us online for this summer’s Munich AI Highlight Lecture featuring Prof. Alexei Efros on July 17th at 6:30 PM! We're excited to have Prof. Efros, a leading expert in computer vision and computer graphics from University of California, Berkeley, speaking on why "We are (still!) not giving data enough credit!". The lecture will cover: 🔸The role of data in the history of AI and computer vision 🔸Case studies demonstrating successful data-driven techniques 🔸Possible future directions for research in computer vision and graphics Prof. Efros is renowned for his approaches in leveraging large quantities of unlabelled visual data to solve complex problems in computer vision and graphics. His work emphasizes the importance of data-driven techniques, which use large sets of raw data to train AI models, leading to more accurate and robust outcomes. Prof. Efros has been honored with numerous awards, including the 2016 ACM Prize in Computing. While the in-person event is fully booked, you can still join via YouTube livestream: https://lnkd.in/dK7_mPCw
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The European Artificial Intelligence Act (AI Act) has officially been published in the Journal of the European Union today – let’s take a closer look! The regulation sets a comprehensive framework for AI governance in the EU, aiming to balance innovation with the protection of fundamental rights and introduces a risk-based framework: ❌ Unacceptable Risk: Applications like government-run social scoring systems are completely prohibited. ⚠️ High Risk: Includes AI systems used in critical infrastructure, law enforcement, and employment. They must meet stringent requirements, including transparency, documentation, and human oversight. ⚖️ Limited Risk: Examples include chatbots, which must fulfill transparency obligations to ensure users are aware they are interacting with an AI system. ✅ Minimal Risk: Applications such as AI in games or spam filters, are subject to the least regulatory requirements and can be freely used. For Start-ups and SMEs navigating these new regulations, the AI Act Compliance Checker is an invaluable tool. Developed by the Future of Life Institute, this tool guides you through your obligations under the AI Act with a user-friendly interface, ensuring you understand the necessary steps for compliance: https://lnkd.in/eDN9n5c3 The implementation will begin soon: 🔹 in 6 months: Prohibitions on unacceptable risk AI become effective 🔹 in 12 months: Obligations for providers of general-purpose AI models begin, along with appointments of national authorities 🔹 in 24 months: All other regulations go into force, except Article 6 (1), which extends the high-risk category to safety components and similar applications 🔹 in 36 months: Article 6 (1) comes into effect Feel free to share your thoughts or ask questions below! Soon we’ll take a closer look at the role of the European AI Office in implementing the AI Act and available resources for AI SMEs - stay tuned! #ai #artificialIntelligence #airegulation #aiAct #innovation #baiosphere
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Welche Daten kann ich im Unternehmensalltag sammeln, und wie kann ich sie mit KI nutzbar machen? In unserer nächsten baiosphere KI-Kompass-Veranstaltung diskutieren Andreas Preisser und Andreas Gillhuber von Alexander Thamm [at] und der German Data Science Society (GDS) e.V. anhand spannender Anwendungsbeispiele, wie Unternehmen von einer robusten Datenstrategie profitieren, ihre Effizienz steigern und Innovationen fördern, um so die Macht der Daten und KI einzusetzen! 📅 24. Juli | 14:00 Uhr 📍 Online 🔗 https://lnkd.in/dG8n_8mn Der baiosphere KI Kompass ist Teil von DInO | Digital Innovation Ostbayern #kiKompass #ai #dataStrategy #DInO #baiosphere
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We’re #hiring a Science Manager and a Senior Science Manager! Join our dynamic team at the Bavarian AI Agency in Munich. You'll play a crucial role in connecting top players and projects in the AI community, driving innovation, and fostering valuable collaborations. Enjoy working in a startup-like environment with flexible hours, professional growth opportunities, and great benefits like a company pension, a job bike, and discounted public transport. Apply by July 31st! Please also share this opportunity with others who might be interested!
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A big shout out to the members of Munich Center for Machine Learning for organizing and celebrating a great AI summit in Munich last Thursday! As one of six national AI Competence Centers and core part of the Bavarian government's AI strategy, MCML has achieved remarkable strides in just two years: About 60 Principal Investigators, 270 Junior Members, and more than 1000 publications prove that the joint force of Munich's Excellence Universities Technical University of Munich and LMU Munich – Ludwig-Maximilians-Universität München boosts advancements of the theoretical foundations of machine learning and AI. The summit's list of prominent speakers mirrored the MCML's strong links to international top institutions and business leaders alike! Tamara Tomasevic, Jo-Anna Küster, and Laura Janßen were happy to present baiosphere right next to the junior researchers' scientific poster session. We are looking forward to many great achievements from MCML! 📸MCML/Flo Huber #MunichAIDay #mcml #ai #machinelearning #baiosphere
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Did you miss us at #BayOConnect today? You can still join our survey and get in touch with like-minded people working at the intersection of AI and biotech! 🔗 https://lnkd.in/e_gyANZd
Besuchen Sie uns heute bei der #BayOConnect in München! Unser Team freut sich, das Cross-Cluster-Projekt #KI in der #Biotechnologie' zwischen baiosphere und der BioM Biotech Cluster Development GmbH Biotech Cluster Development GmbH in der Focus Area 'Unlocking AI in Biotech' vorzustellen. Treffen Sie uns, Sabine Cornils, Franziska Springer und Andreas Preisser am 3. Juli und diskutieren Sie mögliche #Partnerschaften für KI in der Biotechnologie! Das Cross-Cluster-Projekt zwischen #baiosphere und #BioM verbindet Unternehmen, Partner und Forschungseinrichtungen aus beiden Schlüsselbereichen in Bayern. Durch die Nutzung von Synergien und die Förderung interdisziplinärer #Vernetzung und #Wissensaustausch wollen wir Innovationen in KI und Biotechnologie vorantreiben. Vernetzen Sie sich im Cross-Cluster-Projekt mit Gleichgesinnten und bilden Sie mit uns die #Arbeitsgruppe #AI4Biotech! #BayOConnect #AI4Biotech #biotech #ai #baiosphere Visit us today at #BayOConnect in Munich! Our team is excited to present the Cross-Cluster Project ‘#AI in #biotechnology’ between baiosphere and BioM Biotech Cluster Development GmbH in the Focus Area ‘Unlocking AI in Biotech’ room. Meet Sabine Cornils, Franziska Springer, and Andreas Preisser on July 3rd and discuss possible #partnerships for AI in biotech! The Cross-Cluster Project between baiosphere and BioM connects companies, partners, and research institutions from both key sectors in Bavaria. By leveraging #synergies and fostering interdisciplinary networking and knowledge #transfer, we aim to drive innovation in AI and biotechnology. Get connected with like-minded individuals in the Cross Cluster Project and form the working group AI4Biotech with us!
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Thank you for the inspiring exchange on the topic of AI for SMEs! We are excited to take part in helping SMEs realize the potential of AI with the baiosphere KI-Kompass. Our next KI-Kompass event will take place on July 24th on the role of data in AI. Register now and be part of it at: https://lnkd.in/dG8n_8mn #kikompass #dino #ai #innovation #baiosphere
KI-Booster für den Mittelstand! 🚀 Digitalminister Dr. Fabian Mehring eröffnete heute das neue KI-Regionalzentrum in Nürnberg und ist zu Besuch im RCAI in Regensburg.🌐 Diese Zentren sind Teil des Programms #KI-Transfer Plus, das darauf abzielt, den Einsatz von Künstlicher Intelligenz in mittelständischen Unternehmen zu fördern. In Nürnberg und Regensburg wurde eindrucksvoll demonstriert, wie KI als Querschnittstechnologie sämtliche Wirtschaftsbereiche revolutioniert – eine entscheidende Entwicklung für die Zukunft der bayerischen Wirtschaft. 💡 Die Use Cases am Regensburg Center for Artificial Intelligence (RCAI) reichen von KI-gestützter Optimierung des Austauschintervalls für Batterien, Optimierung der Personaleinsatzplanung bis zu Vorhersage von geeigneten Farbmischungen. Dies ist nur ein Einblick der aktuell 49 Projekte, die von 36 Professuren betreut werden. Das RCAI ist ein dynamisches Kraftzentrum für KI-Innovationen in verschiedensten Branchen.🏢 KI in die Anwendung zu bringen ist eine Herausforderung. Die Hürden dessen lassen sich leichter gemeinsam anpacken und die Chancen schneller greifbar machen. Netzwerke wie baiosphere sind daher extrem wertvoll. Das Bayerische KI-Netzwerk bietet einen "KI-Kompass" an, der kleinen und mittleren Unternehmen sowie Handwerksbetrieben zeigt, wie sie KI sinnvoll nutzen können. KI-Transfer Plus ist eine Initiative, die zeigt: KI ist die Querschnittstechnologie, die alle Branchen berührt und bereichert. Damit stellen wir sicher, dass die Ideen nicht nur geboren, sondern auch hier wirtschaftlich umgesetzt werden. 🌟 #DigitalBayern #KI #Innovation #RCAI #KIRegionalzentrum #Zukunftstechnologie Ostbayerische Technische Hochschule Regensburg
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Today marks the official launch of the Robotics Institute Germany (RIG), a groundbreaking initiative aimed to position Germany at the forefront of AI-based robotics, advancing solutions for healthcare, manufacturing, and everyday life. The headquarters will be based in Munich, leveraging Bavaria’s strong expertise in robotics and AI, and connect partners from all over Germany to facilitate collaborative efforts. We congratulate consortium leader, Angela Schoellig of Technical University of Munich and everyone involved in bringing this initiative to life. Best of luck to the entire RIG team - we look forward to seeing the upcoming advancements in robotics and AI! #robotics #AI #RIG #innovation #baiosphere
We're excited to share that the Robotics Institute Germany (RIG) was officially announced at KIRO2024 last week! 🚀 RIG, funded by the Federal Ministry of Education and Research (BMBF), aims to become a hub of AI-powered robotics research in Germany. With contributions from ten universities, four non-university organizations, and 19 associated partners, we're set to build a strong, collaborative network over the coming years. Stay tuned for more updates and join us on this exciting journey! More information: https://lnkd.in/eAcd-5RY (German, BMBF) https://lnkd.in/epTjHWC2 (English, TUM) Bundesministerium für Bildung und Forschung Technical University of Munich, Karlsruhe Institute of Technology (KIT), The University of Bonn, Technische Universität Berlin, Technische Universität Darmstadt, University of Bremen, University of Stuttgart, RWTH Aachen University, Technische Universität Dresden, University of Technology Nuremberg, German Aerospace Center (DLR), Max Planck Institute for Intelligent Systems, Fraunhofer IPA, Fraunhofer IOSB, Fraunhofer IML, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) Foto: Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich/Dayana Ramirez
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Incredible news for municipalities! Today marks a significant milestone in digital governance as München Digital announces the open-source release of their MUCGPT LLM (large language model) interface. By making MUCGPT open source, Munich is setting a precedent for digital innovation in public administration. Municipalities can now customize and integrate MUCGPT into their existing systems, improve their responsiveness and service quality, and reduce operational costs by automating routine tasks. MUCGPT is a cost-effective and privacy friendly interface for AI-driven language processing that was designed to enhance communication within municipal administrations as well as between government entities and citizens. It can for example automate responses to citizen inquiries, assist in drafting documents and official communications, provide multilingual support, and streamline internal processes by quickly summarizing and extracting relevant information from large documents. MUCGPT already serves over 4,500 users, showcasing its effectiveness and popularity. The developers of MUCGPT, the KI Competence Center, part of the InnovationLab of the state capital Munich, are dedicated to integrating AI into public services. They aim to harness the potential of artificial intelligence to improve decision-making, optimize workflows, and enhance service delivery in the public sector. We are proud to have them in our Bavarian AI ecosystem! Explore the full potential of MUCGPT and join us in shaping the future of digital governance: https://lnkd.in/dtZuE9A7 #openSource #ai #digitalGovernment #MUCGPT #baiosphere
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