As artificial intelligence (AI) and machine learning (ML) models continue to evolve at a breathtaking pace, the demands on hardware for inference and real-time processing grow increasingly complex. Traditional hardware architectures for acceleration are proving inadequate to keep up with these rapid advancements in ML … Read More
The Fallacy of Operator Fallback and the Future of Machine Learning Accelerators
