Yuri Winche Achermann
ToolDetective, Co-Founder | Head of Software, Data & Operations
Aachen, Germany
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Aerospace engineer and Data Scientist that turned entrepreneur, spinning-off a deep tech research project into a startup idea in Germany to solve an expensive problem for the manufacturing industry using Computer Vision.
Overall, contributed to projects with NASA Innovative Advanced Concepts and MIT GeneSys, worked with Artefact data consulting and the Fraunhofer Institute for Production Technology (IPT), and advocates for Intel as a Software Innovator and oneAPI Student Ambassador.
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Fundamentals of LLM Fine-Tuning Techniques
Join this interactive session to explore popular LLM fine-tuning techniques and boost your AI development skills, helping you stand out on global LLM leaderboards like this one:
`https://huggingface.co/spaces/Intel/powered_by_intel_llm_leaderboard`
Fundamentals of LLM Fine-tuning Techniques
This session will cover the theory to empower AI development capabilities with a dive deep into the world of Large Language Models (LLMs) and advanced fine-tuning techniques.
And then we finish with a really brief hands-on step-by-step on how to compete and stand out on global stage Leaderboards using open-source LLMs.
Federated Learning in Manufacturing: Data Security Meets Predictive Maintenance
Balancing data protection with continuous improvement in predictive maintenance is challenging. The case of study on the ToolDetective startup achieves this balance using Federated Learning (FL), securing data in ISO 27001-compliant systems while refining deep learning models on tool wear segmentation. In this session, we discuss how FL enables manufacturers to benefit from collective insights without risking data privacy, showcasing FL as a solution for data security in predictive maintenance.
AI PC-Powered Drones: Advanced Real-World Applications with Intel’s Latest NUC
This session will delve into the AI capabilities of the newest NUCs when applied into an unconventional environment, integrated directly onboard a drone, showcasing the advancements in edge computing. We’ll explore how the NUC's CPU, GPU, and especially its NPU (Neural Processing Unit) work together seamlessly to optimize AI workloads, enabling real-time data processing and decision-making without relying on cloud connectivity.
Attendees will discover how this compact, high-performance system leverages AI technology to accelerate inference speeds, reduce latency, and boost efficiency. By utilizing Intel’s XPU architecture, the NUC enables versatile, highly responsive AI operations that unlock new possibilities for autonomous navigation, real-time environmental analysis, and enhanced situational awareness—transforming drones into intelligent, adaptable tools for both industrial and recreational use.
Leveraging oneAPI for Industry Application: A Deep Dive focusing on predictive maintenance context
In this session, we will explore how Intel’s oneAPI technology can be directly applied to solve real-world industrial challenges, specifically in the field of predictive maintenance. Using the example of ToolDetective, a cutting-edge predictive maintenance solution for monitoring metal cutting tool wear, we will demonstrate how integrating oneAPI-optimized AI frameworks, GPU acceleration, and advanced data processing techniques can significantly enhance performance and efficiency.
Intel AI DevSummit WorldWide 2025 Sessionize Event
oneAPI DevSummit 2024 hosted by UXL Foundation Sessionize Event
Yuri Winche Achermann
ToolDetective, Co-Founder | Head of Software, Data & Operations
Aachen, Germany
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