A General Hardware and Software Co-Design Framework for Energy-Efficient Edge AI

Jayakodi, Nitthilan Kannappan; Doppa, Janardhan Rao; Pande, Partha Pratim

doi:10.1109/iccad51958.2021.9643557

Cited by 3 publications

(2 citation statements)

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“…These avant-garde architectures epitomize the inexorable quest for escalated computational efficacy, diminished energy expenditure, and an expanded spectrum of applications. This section delineates several pioneering architectures that are spearheading the evolution of AICAS, traversing through the intricacies of Neuromorphic Computing, Quantum Computing Circuits, In-Memory Computing, and the advancements burgeoned in the realm of processing units including GPUs, TPUs, and NPUs [37,[48][49][50].…”

Section: State-of-the-art Aicas Architecturesmentioning

confidence: 99%

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Advancements in Artificial Intelligence Circuits and Systems (AICAS)

Miller,

Durlik,

Kostecka

et al. 2023

Electronics

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In the rapidly evolving landscape of electronics, Artificial Intelligence Circuits and Systems (AICAS) stand out as a groundbreaking frontier. This review provides an exhaustive examination of the advancements in AICAS, tracing its development from inception to its modern-day applications. Beginning with the foundational principles that underpin AICAS, we delve into the state-of-the-art architectures and design paradigms that are propelling the field forward. This review also sheds light on the multifaceted applications of AICAS, from optimizing energy efficiency in electronic devices to empowering next-generation cognitive computing systems. Key challenges, such as scalability and robustness, are discussed in depth, along with potential solutions and emerging trends that promise to shape the future of AICAS. By offering a comprehensive overview of the current state and potential trajectory of AICAS, this review serves as a valuable resource for researchers, engineers, and industry professionals looking to harness the power of AI in electronics.

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Section: State-of-the-art Aicas Architecturesmentioning

confidence: 99%

“…Resource Allocation: Efficient allocation and utilization of hardware resources are meticulously planned to ensure the seamless execution of software algorithms [49,50].…”

mentioning

confidence: 99%