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Bringing together some of the most devoted minds in the industry and academics to share ideas and showcase achievements.

United Kingdom
Joined February 2014
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At #CVC2026, Hussein A. Dawood explores the fine line between research transparency and information overload. 🔍 True transparency isn’t about sharing more—it’s about creating clarity, context, and trust. #CVC2026 #HusseinADawood #ResearchTransparency #Research
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At #CVC2026, Leo Dorst explores Python packages for Geometric Algebra, showing how the right tools can bridge mathematical theory and practical computation. 🐍📐 #Python #GeometricAlgebra #ScientificComputing
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At #CVC2026, Leo Dorst reveals how the choice of metrics can reshape interpolation results. 📊 Discover why the right measurement matters for accurate interpretation! #ComputerVision #AIResearch #DataScience
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At #CVC2026, Shadi Alijani explores why conferences are more than talks—real learning happens through conversations, global connections, and ideas that inspire what comes next. 🌍💡🤝 #Networking #Innovation #Research #Technology
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At #CVC2026, Ramy Battrawy explores how LiDAR and camera fusion enhances 3D motion estimation, enabling smarter perception for autonomous vehicles, robotics, and AI. 🚗🤖📡 #AI #ComputerVision
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At #CVC2026, Dr. Juan Wachs explored how ultrasound, AI, and computer vision could transform burn assessment—enabling faster, smarter, and more precise healthcare decisions. 🩺🔬 #AIinHealthcare #MedTech
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At #FTC2025, Prof. Mario Trapp highlights why AI safety must be built into systems from day one—because trust, not capability alone, drives market acceptance. #FTC2025 #ProfMarioTrapp #AISafety #ResponsibleAI #ArtificialIntelligence #CognitiveSystems #PhysicalAI #AIEngineering
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At #FTC2025, Prof. Mario Trapp revealed how AI-powered driving systems can reduce braking distance by up to 15 meters—making roads safer through smarter, faster decision-making. 🚗🤖 #AI #AutonomousDriving
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At #FTC2025, Gitta Kutyniok highlighted why the future of AI depends on trust, transparency, and sustainability. Powerful AI must also be responsible. 🤖🌍 #TrustworthyAI #ResponsibleAI #AI
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At #FTC2025, Gitta Kutyniok emphasized that the future of AI depends on trust, sustainability, and responsible innovation—not just smarter systems. Building AI we can rely on starts with the choices we make today. 🌍🤖 #TrustworthyAI #ResponsibleAI
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At #FTC2025, Gitta Kutyniok explores how neuromorphic computing could make AI faster, smarter, and dramatically more energy-efficient. #AI #FutureOfAI
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At #FTC2025, Stefan Wagner explained why great AI starts with the problem, not the model. From business requirements to LLM system design, success comes from clear objectives, smart architecture, and real-world implementation. #AI #LLM #GenerativeAI #SystemDesign
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At #FTC2025, Wojciech Samek shared a key reminder: AI isn't meant to answer every question. LLMs can sound convincing, but some questions demand verified facts, expert judgment, or real-world context. #FTC2025 #WojciechSamek #AI #LLM #ResponsibleAI #AIEducation #MachineLearning
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LLM hallucinations are one of AI’s biggest challenges. At #FTC2025, Wojciech Samek explained how citation-based AI can make models more transparent, reliable, and trustworthy. #AI #GenerativeAI
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At #FTC2025, Stefan Wagner explored why independent AI teams are converging on similar LLM architectures—and what these shared design patterns could mean for the future of AI. #AI #LLMs #ArtificialIntelligence
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At #FTC2025, Wojciech Samek revealed why outdated knowledge remains a major challenge for LLMs—and why keeping AI accurate is crucial for building trustworthy, responsible systems. #AI #LLM #ArtificialIntelligence #ResponsibleAI #AIResearch
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At #FTC2025, Wojciech Samek explored how attention heads reveal what happens inside LLMs, bringing us closer to transparent, explainable, and trustworthy AI. #AI #LLM #ExplainableAI
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At #FTC2025, Gitta Kutyniok explored how Graph Neural Networks are redefining AI by uncovering patterns in connected data, powering smarter analysis and real-world innovation. #GNN #AIResearch
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At #FTC2025, Wojciech Samek showed why explainable AI is key to building transparent, trustworthy systems that humans can understand, validate, and confidently rely on. #XAI #AI
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At #FTC2025, Wojciech Samek explained why AI reliability should follow the same engineering principles as aviation—built on testing, transparency, and trust. #TrustworthyAI
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