At #CVC2026, Leo Dorst reveals how the choice of metrics can reshape interpolation results. 馃搳 Discover why the right measurement matters for accurate interpretation!
#ComputerVision #AIResearch #DataScience
At #CVC2026, Shadi Alijani explores why conferences are more than talks鈥攔eal learning happens through conversations, global connections, and ideas that inspire what comes next. 馃實馃挕馃
#Networking #Innovation #Research #Technology
At #CVC2026, Ramy Battrawy explores how LiDAR and camera fusion enhances 3D motion estimation, enabling smarter perception for autonomous vehicles, robotics, and AI. 馃殫馃馃摗
#AI #ComputerVision
At #CVC2026, Dr. Juan Wachs explored how ultrasound, AI, and computer vision could transform burn assessment鈥攅nabling faster, smarter, and more precise healthcare decisions. 馃┖馃敩
#AIinHealthcare #MedTech
At #FTC2025, Prof. Mario Trapp highlights why AI safety must be built into systems from day one鈥攂ecause trust, not capability alone, drives market acceptance.
#FTC2025 #ProfMarioTrapp #AISafety #ResponsibleAI #ArtificialIntelligence #CognitiveSystems #PhysicalAI #AIEngineering
At #FTC2025, Prof. Mario Trapp revealed how AI-powered driving systems can reduce braking distance by up to 15 meters鈥攎aking roads safer through smarter, faster decision-making. 馃殫馃
#AI #AutonomousDriving
At #FTC2025, Gitta Kutyniok highlighted why the future of AI depends on trust, transparency, and sustainability. Powerful AI must also be responsible.
馃馃實 #TrustworthyAI #ResponsibleAI #AI
At #FTC2025, Gitta Kutyniok emphasized that the future of AI depends on trust, sustainability, and responsible innovation鈥攏ot just smarter systems. Building AI we can rely on starts with the choices we make today. 馃實馃
#TrustworthyAI #ResponsibleAI
At #FTC2025, Gitta Kutyniok explores how neuromorphic computing could make AI faster, smarter, and dramatically more energy-efficient.
#AI #FutureOfAI
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
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
LLM hallucinations are one of AI鈥檚 biggest challenges. At #FTC2025, Wojciech Samek explained how citation-based AI can make models more transparent, reliable, and trustworthy.
#AI #GenerativeAI
At #FTC2025, Stefan Wagner explored why independent AI teams are converging on similar LLM architectures鈥攁nd what these shared design patterns could mean for the future of AI.
#AI #LLMs #ArtificialIntelligence
At #FTC2025, Wojciech Samek revealed why outdated knowledge remains a major challenge for LLMs鈥攁nd why keeping AI accurate is crucial for building trustworthy, responsible systems.
#AI #LLM #ArtificialIntelligence #ResponsibleAI #AIResearch
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
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
At #FTC2025, Wojciech Samek explained why AI reliability should follow the same engineering principles as aviation鈥攂uilt on testing, transparency, and trust.
#TrustworthyAI
At #FTC2025, Gitta Kutyniok explores why AI鈥檚 future depends on solving digital computing鈥檚 reliability and energy challenges. Watch the full talk鈥攍ink in bio.
#AI #FutureOfComputing
At #FTC2025, Gitta Kutyniok revealed why neuromorphic computing could redefine AI by overcoming traditional hardware limits and unlocking brain-inspired intelligence.
#AI #NeuromorphicComputing
