El documento presenta las instrucciones para un proyecto de paleontolog¨ªa sobre los yacimientos de f¨®siles de Somosaguas en la Universidad Complutense de Madrid. Los estudiantes deben elaborar un trabajo con informaci¨®n sobre la formaci¨®n de f¨®siles, la historia de la Tierra y la vida, incluyendo las eras geol¨®gicas y los principales grupos biol¨®gicos. El trabajo debe seguir un gui¨®n e incluir apartados sobre portada, contenido, referencias y opini¨®n personal. La evaluaci¨®n se basar¨¢ en la actitud, la completitud y presentaci¨®n
2025 NVIDIA GTC: Crack the AI Black Box: Practical Techniques for Explainable AIDavid vonThenen
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2025 NVIDIA GTC: Crack the AI Black Box: Practical Techniques for Explainable AI
Artificial Intelligence often operates in ways that are challenging to interpret, creating a gap in trust and transparency. Explainable AI (XAI) bridges this gap by providing strategies to demystify complex models, enabling stakeholders to understand how decisions are made. We'll explore foundational XAI concepts and provide practical methods to bring interpretability into developing and deploying AI systems, ensuring better decision-making and accountability. You'll learn actionable techniques for explaining AI behavior, from feature attributions and decision-path analyses to scenario-based insights. Through a live demonstration, you'll see how to apply these methods to real-world problems, enabling you to diagnose, debug, and optimize your models effectively. In the end, you'll have a clear roadmap for integrating XAI practices into your workflows to build trust and confidence in AI-powered solutions.
Key Takeaways:
Understand how AI systems make decisions, critical for trust and adoption as they grow more complex
In 2025, explainable AI (XAI) is set to be a hot topic as industries increasingly demand transparency from AI systems. You'll gain practical techniques to make AI transparent and interpretable, breaking down decision paths and uncovering key insights into model behavior
Featuring live demos of explainability methods applied to real-world scenarios, you'll leave with actionable strategies to debug, optimize, and build confidence in your AI solutions
Cantonmade 2025 Hotel Supplier Catalog: Technical Specs for Engineers & Integ...RayChan91
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Explore Cantonmade's 2025 Hotel Supplier Catalog featuring technical specifications for AV systems, smart room controls, and energy-efficient solutions. Designed for engineers and system integrators, this handbook details commercial-grade products, communication protocols, and scalable designs for hospitality infrastructure.
2025 NVIDIA GTC: Crack the AI Black Box: Practical Techniques for Explainable AIDavid vonThenen
?
2025 NVIDIA GTC: Crack the AI Black Box: Practical Techniques for Explainable AI
Artificial Intelligence often operates in ways that are challenging to interpret, creating a gap in trust and transparency. Explainable AI (XAI) bridges this gap by providing strategies to demystify complex models, enabling stakeholders to understand how decisions are made. We'll explore foundational XAI concepts and provide practical methods to bring interpretability into developing and deploying AI systems, ensuring better decision-making and accountability. You'll learn actionable techniques for explaining AI behavior, from feature attributions and decision-path analyses to scenario-based insights. Through a live demonstration, you'll see how to apply these methods to real-world problems, enabling you to diagnose, debug, and optimize your models effectively. In the end, you'll have a clear roadmap for integrating XAI practices into your workflows to build trust and confidence in AI-powered solutions.
Key Takeaways:
Understand how AI systems make decisions, critical for trust and adoption as they grow more complex
In 2025, explainable AI (XAI) is set to be a hot topic as industries increasingly demand transparency from AI systems. You'll gain practical techniques to make AI transparent and interpretable, breaking down decision paths and uncovering key insights into model behavior
Featuring live demos of explainability methods applied to real-world scenarios, you'll leave with actionable strategies to debug, optimize, and build confidence in your AI solutions
Cantonmade 2025 Hotel Supplier Catalog: Technical Specs for Engineers & Integ...RayChan91
?
Explore Cantonmade's 2025 Hotel Supplier Catalog featuring technical specifications for AV systems, smart room controls, and energy-efficient solutions. Designed for engineers and system integrators, this handbook details commercial-grade products, communication protocols, and scalable designs for hospitality infrastructure.
2025 DeveloperWeek - The Sound of Innovation: Why Voice Cloning Will Redefine...David vonThenen
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2025 DeveloperWeek - The Sound of Innovation: Why Voice Cloning Will Redefine Human-Computer Interaction
Voice cloning is rapidly emerging as a transformative technology, redefining how we interact with AI and bridging the gap between machines and humans through personalized experiences. This session delves into the conceptual underpinnings of voice cloning, exploring its potential to revolutionize applications across personal branding, customer engagement, and human-computer interaction.
This session explores the growing importance of voice cloning in the broader context of AI-driven technologies. By addressing real-world use cases, this talk will highlight why voice cloning is not just a technological novelty but a pivotal advancement that will shape the future of AI applications. Through an exploration of the adjustments and refinements that define a truly convincing synthetic voice, we¡¯ll examine the delicate balance between precision and authenticity. Join us to explore why the human voice is a powerful tool for innovation and how voice cloning can make technology more personal and relatable.