The sustained growth of carbon emissions and global waste elicits signif...
Real-time multi-model multi-task (MMMT) workloads, a new form of deep
le...
Edge Impulse is a cloud-based machine learning operations (MLOps) platfo...
Machine learning (ML) research has generally focused on models, while th...
Machine learning sensors represent a paradigm shift for the future of
em...
Machine learning (ML) has become a pervasive tool across computing syste...
We present CFU Playground, a full-stack open-source framework that enabl...
Broadening access to both computational and educational resources is cri...
We introduce a few-shot transfer learning method for keyword spotting in...
Executing machine learning workloads locally on resource constrained
mic...
We present PrecisionBatching, a quantized inference algorithm for speedi...