There has been an arms race for devising accelerators for deep learning in recent years.
However, real-world applications are not only neural networks but often span across …

Resource-constrained system-on-chips (SoCs) are increasingly heterogeneous with
specialized accelerators for various tasks. Acceleration taxes due to control and data …

In this paper, we present a novel technique to search for hardware architectures of
accelerators optimized for end-to-end training of deep neural networks (DNNs). Our …

Life is programmed, logic-gate-controlled, and cybernetically processed. Life is algorithmic
with sequentially completed (“halting”) operations. Homeostatic metabolism is mediated by …

In the recent decade, Intelligent Systems—advanced computer systems that can make
useful predictions or decisions based on observations—have become increasingly …