Bringing Power Efficiency to TinyML, ML-DSP and Deep Learning Workloads
In recent times, the need for real-time decision making, reduced data throughput, and privacy concerns, has moved a substantial portion …
In recent times, the need for real-time decision making, reduced data throughput, and privacy concerns, has moved a substantial portion …
Packing applications into constrained on-chip memory is a familiar problem in embedded design, and is now equally important in compacting …