In March and October 2024, the EDGE AI FOUNDATION organized two of the most successful community events in its history. They were the cornerstones marking the transition from tiny machine learning (known as tiny ML) to Generative Edge AI.
Since then, new studies, evidence, innovations have appeared. The EDGE AI FOUNDATION community has a need to stay up-to-date and educate each other on the latest progress from industry and academia to develop a shared future for generative edge AI.
This two-day “third edition” livestream forum will help to gain more understanding about the impact of generative edge AI platforms and to witness the transformative impacts of generative edge AI pushing hardware, software, tooling, applications, services at the next level with the impact of new efforts with agentic AI and physical AI.
Day 1 Sessions Include:
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Fireside Chat: The State of GenAI at the Edge – Samir Jaber & Pete Bernard
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Building Optimized GenAI Use Cases with OpenVINO – Raymond Lo & Ashutosh Kumar, Intel
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Generative AI at NXP – Alberto Alvarez, NXP
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Real-World Deployment & Industry Applications – Anirban Bhattacharjee, Wipro
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When is GenAI Useful at the Edge? – Pete Warden, Useful Sensors
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AI’s Center of Gravity Shifts to the Edge – Vinesh Sukumar, Qualcomm
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Optimizing LLMs for Hardware Accelerators – Chen Lai, Meta
Day 2 Sessions Include:
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Expanding the GenAI Horizon with Qualcomm Dragonwings – Evgeni Gousev, Qualcomm
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Bridging the Digital Divide Through the Edge – Danilo Pau, STMicroelectronics
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AI Agents at the Edge: Architectures & Algorithms – Aruna Kollaru, Dell
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NANDA: The Internet of AI Agents – Pradyumna Chari, MIT
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Continues integration with Executorch – the way LiquidAI utilizes PyTorch + Executorch for getting the optimal frontier – Yuri Khrustalev, Liquid AI
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Feasibility & Tradeoffs in LLM Inference at the Edge – Roberto Morabito, EUROCOM
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Agentic AI + SLMs for Airport Boarding – Andreas Basso, MITO
This two-day livestream event is made available for FREE thanks to the support of EDGE AI FOUNDATION Strategic Partners and our Generative Edge AI Working Group.