Solution Study
Monday, September 23
12:45 PM - 01:15 PM
Live in Berlin
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In the automotive sector, scaling AI often encounters challenges related to data scarcity and high R&D costs. This presentation introduces two innovative approaches to tackle these issues: adapting AI models to new environments by intelligently merging existing knowledge and using generative AI to creatively augment limited data. These methods accelerate AI innovation, reduce the need for extensive datasets, and open new business opportunities. Through our work with OEM clients, Silo AI demonstrates how these cutting-edge solutions redefine AI development, making it more efficient, scalable, and cost-effective.
In this session, you will:
Pier Luigi Dovesi is an Expert Lead and Senior Member of the Technical Staff at Silo AI (AMD), focusing on multimodal and generative AI. His extensive work in perception and safety for autonomous vehicles and robots originated the idea that AIs – just like humans – should continuously adapt. This insight resulted in the development of novel methods enabling AI to learn and improve independently and continuously, even when confronted with unfamiliar and complex environments. Currently, Pier is directing projects including code generation, hyperrealistic portrait generation, adaptive interactive agents, and 3D scene reconstruction. His regular contributions to AI research include publications in 3DV, ICRA, ECCV, and ICCV, collaborating with top-tier institutions including KTH Royal Institute of Technology, the University of Bologna, ETH Zurich, and TU Munich. As an engaged member of the AI community, Pier contributes to knowledge sharing and promotes diversity through public speaking, organizing educational events, and mentoring for Women in AI.
The Pop in Your Job – What drives you? Why do you love your job?
The next generation of industry-leading products is driven by AI, but getting them into production requires fundamental changes in how we build AI. AI’s role is not just about replacing human tasks but enhancing capabilities, optimizing processes, and driving forward innovation that reshapes the driving experience and safety standards in the automotive industry.