Toward Large-Scale Edge AI Adoption: Hotg.ai & UGent Publish a Comprehensive Review of TinyMLOps Challenges | Synced
A research team from Hotg.ai and Ghent University explores current challenges facing TinyML and techniques to reduce the compute, memory, and energy costs of ML models, providing insights for the l...
Source: Synced | AI Technology & Industry Review
A research team from Hotg.ai and Ghent University explores current challenges facing TinyML and techniques to reduce the compute, memory, and energy costs of ML models, providing insights for the large-scale deployment of edge AI.