Archives: Presentations

Solve edge AI problems with foundation models

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons

Comparing Classic Machine Learning Techniques with Deep Learning for TinyML Human Activity Recognition

From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges

Generative AI on the Edge for Connected Vehicles and Mobility

LLM Pipelines: Seamless Integration on Embedded Devices

AI/ML for Embodied Systems at the Edge: Generative Models, LLMs and Beyond

ViT@Edge: Distilled Vision Transformer based Foundation Model for Efficient Edge Deployment

Inspired by ‘Her’: AI interaction models we’d like to see in the world