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From the upcoming European Conference on EDGE AI Technologies and Applications - EEAI on 17-19 Oct in Athens.
i see (hopefully still) an Akida advocate will be presenting on the below on behalf of Bonseyes.
Presentation: A01_1: Optimization and Compression of Computer Vision and Generative AI Models for Neuromorphic Accelerators.
In many AI applications, models typically demand extensive training datasets and benchmark data for robust performance. However, gathering such vast and diverse datasets can be especially challenging in edge computing environments. This presentation addresses this critical challenge by showcasing how Generative AI and Computer Vision foundational models can help mitigate the burden by generating synthetic data and benchmarks that closely resemble real-world scenarios. Applicability to Neuromorphic model development will be discussed and AI development in edge computing, where data scarcity is a common constraint.
Speaker: Tim Llewellynn, Bonseyes Community Association, Switzerland.
Tim Llewellynn is President of the Bonseyes Community Association and has 20 years in high-tech startups and corporate R&D in data-driven software development for cloud, mobile and edge computing applications. At Bonseyes Community Association (BCA), is a non-profit AI-focused association, he drives the democratization of artificial intelligence for the benefit of all society, ensuring that AI, from narrow to general, creates highly autonomous systems that benefit everyone, not just a select few. Tim received his B.E. and M.E. (Hons) degrees in Electrical Engineering from the University of Canterbury, New Zealand in 1999, and 2001.
edge-ai-tech.eu
i see (hopefully still) an Akida advocate will be presenting on the below on behalf of Bonseyes.
Presentation: A01_1: Optimization and Compression of Computer Vision and Generative AI Models for Neuromorphic Accelerators.
Tim Llewellynn, Bonseyes Community Association, Switzerland.
In many AI applications, models typically demand extensive training datasets and benchmark data for robust performance. However, gathering such vast and diverse datasets can be especially challenging in edge computing environments. This presentation addresses this critical challenge by showcasing how Generative AI and Computer Vision foundational models can help mitigate the burden by generating synthetic data and benchmarks that closely resemble real-world scenarios. Applicability to Neuromorphic model development will be discussed and AI development in edge computing, where data scarcity is a common constraint.Speaker: Tim Llewellynn, Bonseyes Community Association, Switzerland.

Conference Program 2023 - EdgeAI
Conference Program 2023. European Conference on EDGE AI Technologies and Applications - EEAI.
