tinyML Asia 2023 – Sungjoo Yoo: Towards Efficient Neural Rendering
Towards Efficient Neural Rendering Sungjoo YOO, Director, Neural Processing Research Center (NPRC) Neural rending, aka NeRF (neural radiance field), is
Read moreTowards Efficient Neural Rendering Sungjoo YOO, Director, Neural Processing Research Center (NPRC) Neural rending, aka NeRF (neural radiance field), is
Read moreThe Future of AI is “On-Device” Kyuwoong HWANG, Senior Director, Qualcomm AI Research, Korea Welcome to the era of Generative
Read moreHow to enable seamless TinyML development and deployment Georgios FLAMIS, Sn. Staff System Design engineer , Renesas The widespread adoption
Read moreUnlocking TinyML: A Cost-Efficient Approach to Custom Microcontroller Design for AI Applications Mohamed Shalan Head of Design and EDA Efabless
Read moreButtonless Remote Control – Reproduce on your device” Blair Newman CTO Neuton.AI Danil Zherebtsov Head of Machine Learning & Analytics
Read moreMinimizing resource usage in microcontrollers for cost effective solutions Ilya Gozman Senior Fellow, Chief AI Architect Grovety The spotlight will
Read more“Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks” Danilo Pau Technical Director, IEEE, AAIA & ST Fellow System Research
Read more“Unsupervised Federated Learning” Ranjitha Prasad Assistant Professor IIIT Delhi Modern day applications such as autonomous vehicles, IoT, smart grids, etc.,
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