ETH AI Center

Thrilled to share our 8 conference paper contributions to [ICML] Int'l Conference on Machine Learning 2024 next week. Congratulations to our doctoral fellows, postdoctoral fellows, and staff members involved: Afra Amini, Manish Prajapat, Javier Abad Martínez, Konstantin Donhauser, Riccardo De Santi, Daniil Dmitriev, Etienne Bamas, Imanol Schlag

Have you secured your tickets for the AI+X Summit 2024? Discover the latest in AI research and development at the AI+X Summit, organized by ETH AI Center with ZHAW Zurich University of Applied Sciences and the University of Zurich. This event is your opportunity to gain insights from leading experts, connect with professionals, and engage in hands-on workshops. 🌟 Why Attend? - Advanced Knowledge: Learn from top experts. - Networking: Connect with industry leaders. - Interactive Workshops: Experience AI demonstrations. 🎟 Special Offer: Enjoy 15% off on regular tickets with the code JULY15 (valid for regular ticket purchases until Jull 31st July 23:59). 📚 Tracks Overview: Track #1: AI in Finance Explore recent trends and strategies in financial services, including LLMs and ESG analyses. Host: Prof. Peter Schwendner, ZHAW Track #2: Revolutionizing Urban Mobility: Smart Solutions for Smart Cities Discover smart solutions for urban transportation, focusing on algorithmic fairness and traffic optimization. Hosts: Prof. John Lygeros and Prof. Florian Dorfler Track #3: Human-centric Computer Vision for Mixed Reality (Part 1) Advances in mixed reality applications, from medical AR to immersive entertainment. Host: Prof. Philipp Fürnstahl Track #4: Human-centered Design Beyond Interfaces Designing AI with human work in mind to enhance job quality and satisfaction. Host: Prof. Gudela Grote Track #5: Open Source LLMs and the Swiss AI Initiative Swiss AI Initiative's efforts in building generative AI foundation models. Host: Prof. Antoine Bosselut, EPFL Track #6: Intelligence Augmentation Human-AI collaboration interfaces and their impact on productivity. Host: Prof. Menna El-Assady Track #7: Generative AI Overview of generative AI developments and their societal implications. Host: Prof. Thilo Stadelmann, ZHAW Track #8: Responsible AI Ethical, legal, and technical dimensions of AI, focusing on fairness and transparency. Hosts: Prof. Aniko Hannak and Prof. Florent Thouvenin, UZH-DSI Track #9: AI for Science Applications of AI in scientific research, from medical data analysis to weather prediction. Host: Prof. Siddhartha Mishra Track #10: Human-centric Computer Vision for Mixed Reality (Part 2) Continued exploration of mixed reality applications and biomedical fields. Host: Prof. Philipp Fürnstahl Track #11: System Software Foundations for Cost-Efficient AI Infrastructure for efficient AI model training and serving. Host: Prof. Ana Klimovic Track #12: Fostering Equitable and Inclusive Technology Innovation Strategies for fostering inclusive technology ecosystems. Host: Prof. Inge K Herrmann 🔗 More info: www.plusx.ai

Yesterday we had an incredible panel discussion here at the ETH AI Center on AI in Financial Services, moderated by our Entrepreneurship Manager Dr. Ann-Lauriene Haag. The event featured insightful contributions from Manuel Grenacher, CEO and founder of Unique, Federico Pirovano, CEO and founder of Dynius, and Stefan Klauser, CEO and co-founder of Aisot Technologies. Our panelists shared their expertise on how AI is transforming financial services, tackling unique challenges, and driving innovation. Thank you to all our speakers and attendees for making this event a success! Lea Bachmann Mauricio Moncada Dario Röösli Daniel Naeff Vanessa Allenspach 

We were thrilled to welcome Paula Weber and Markus Gleim from Northzone to our office! Six of our affiliated startups also joined us for exciting discussions: mimic, Resmonics, UTHEREAL.ai, Manukai AG, Gravis Robotics, and floatz. We look forward to future exchanges and potential collaborations! Dr. Ann-Lauriene Haag Mauricio Moncada Daniel Naeff Alex Ilic Vanessa Allenspach

🕵♂️ "I understand the outcry about AI training with user data" says Florian Tramèr, who leads the AI Security Research Group at ETH Zurich. He emphasizes the growing concern: "The more user data is fed into models, the more it becomes a privacy issue." 🕵♂️ Florian, a faculty member of ETH AI Center, is often cited in the press for his groundbreaking work on AI security. The quote above is from a recent article by Ruth Fulterer, tech reporter at NZZ. 📰 Her article highlights Florian's research, demonstrating that the image generator Stable Diffusion can reproduce not only known content like movie posters and company logos but also faces of non-famous individuals. 📚 Read the full article at NZZ, linked below #AI #Research #Ethics #Privacy #AIGeneratedContent #ETHZurich ETH Zürich Department of Computer Science (D-INFK), ETH Zürich

🚀 AI Adoption in Swiss Tech Industries: Reality vs. Hype 🔍 A recent survey by ETH Zürich, Swissmem, and Next Industries reveals that AI adoption in Swiss tech, particularly manufacturing, lags behind the hype. Despite AI's transformative potential, the survey of over 200 companies shows most are still in the pilot phase. 📊 Key Findings: - AI in Manufacturing: Only 10% of companies are conducting pilot tests, and a mere 12% are planning them. - Strategic Importance: Many firms have yet to consider AI, while others find it currently irrelevant. - International Competitiveness: Despite slow adoption, Swiss tech firms remain competitive globally. 💡 Expert Insight: Prof. Torbjørn Netland, a faculty member at ETH AI Center, suggests companies develop clear AI strategies and invest in specialized talent to unlock AI's full potential. #AI #MachineLearning #SwissTech #Innovation #ETHZurich #Manufacturing #TechIndustry #FutureOfWork ETH Zürich D-MTEC ETH Zurich

Reading tips (in german): Adrian Notz, who has worked with us in the role of AI+Art curator up until March this year, has written about his experiences at the #intersection of the worlds of #art and #science in the FOLIO mag of NZZ .

🚨 Deepfakes: Protecting Democracies with Advanced AI Solutions 🚨 The risk of manipulated audio and visual content extends beyond the private sector to the political arena, threatening democratic processes. With key elections approaching globally, the potential for AI-driven election fraud is significant. To combat this, LatticeFlow AI, an ETH Zürich spin-off, has launched "Latticeflow AI Audio", which identifies errors in audio AI applications, effectively detecting fake voice recordings. CEO Petar Tsankov emphasizes: "We are launching Latticeflow AI Audio now to address the upcoming US elections, where audio deepfakes are a prevalent threat to election integrity." Read more at Netzwoche #CyberSecurity #AI #Deepfakes #Innovation #LatticeflowAI #ETHZurich Department of Computer Science (D-INFK), ETH Zürich ETH Zürich Florian Meyer Martin Vechev Andreas Krause Pavol Bielik

🚨Registration for the AI+X Summit 2024 is Now Open!🚨 Join us on October 3rd and 4th for the AI+X Summit 2024, presented by ETH AI Center, ZHAW Zurich University of Applied Sciences, and University of Zurich. Exchange, network and get inspired by AI developers, users, and experts from a broad spectrum of disciplines and areas of applications. The two-day summit will feature: ➡️ Insightful keynotes from industry leaders ➡️ Engaging panel discussions ➡️ Hands-on workshops ➡️ Cutting-edge demos Limited Offer: Enjoy 15% off on regular tickets with the code JULY15. This offer is available until July 31st at 23:59. In addition to regular tickets, we are pleased to offer: ➡️ Complimentary access for ETH AI Center faculty members and fellows ➡️ A special Academia Ticket for unaffiliated researchers Don’t miss this unique opportunity to explore AI and deep tech innovations for the next generation. Secure your spot today at www.plusx.ai #AIXSummit2024 #AIInnovation #TechSummit #ETHAI #DeepTech #FutureOfAI #ZHAW #UniversityOfZurich

We are excited to welcome RoBoa and Rapidata into our affiliated startup community! 🚀RoBoa utilizes AI to revolutionize confined space entry, from industrial inspections to search and rescue missions. This snake-like, modular robot offers exceptional maneuverability and autonomy, making it ideal for challenging environments. Employing cameras, laser scanners, and IMUs for precise localization and mapping (SLAM), RoBoa gathers crucial situational awareness. Its AI provides real-time data analytics and steering support, enabling the robot to autonomously navigate user-defined paths. In industrial settings, RoBoa inspects pipes for cracks and defects with computer vision, reducing costly downtimes. Targeting sectors like power, chemicals, oil & gas, and pharma, RoBoa is committed to leading in robotic solutions for harsh environments, aiming to minimize industry disruptions and save lives in disasters. This startup was co-founded by Prof. Roland Siegwart, an ETH AI Center Associated Faculty Member. Furthermore, the startup's foundational technology is being developed in Prof. Siegwart's research group. 🚀Rapidata offers a rapid and scalable solution for obtaining human feedback and data annotation, processing over 100,000 inputs per hour across various data types, including images, videos, and text. Its applications range from anomaly detection and generative AI benchmarking to sentiment analysis and named entity recognition. With global reach and cost-effective pricing, Rapidata provides targeted annotations in specific regions and demographics. The seamless API integration supports Human-in-the-Loop (HITL) and Reinforcement Learning from Human Feedback (RLHF), enhancing AI systems with real-time human insights to ensure efficiency and alignment with human standards. This startup was co-founded by Marian Kannwischer, a Master's researcher in Prof. Elliott Ash's group. Prof. Ash is an ETH AI Center Associated Faculty Member. We are very excited to have you on board!