Special Issue "Artificial Intelligence of Things (AIoT)"
A special issue of Journal of Low Power Electronics and Applications (ISSN 2079-9268).
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 18887
Interests: low-power electronics; Internet of Things; SRAM chips; microprocessor chips; CMOS integrated circuits
Interests: edge AI; embedded deep neural networks; design automation; optimization; low-power design
Interests: VLSI design and automation; computer architecture; robust circuit design
Interests: embedded systems; MPSoC; NoC; design space exploration; run-time mapping
Special Issues, Collections and Topics in MDPI journals
Artificial intelligence is developing in all sectors of our lives. With increasing data production from multiple devices, traditional data collection from sensors and its raw transmission to servers puts high pressure on communication and energy consumption. To reduce the overall footprint of a distributed AI processing, the sensor must become intelligent and process or pre-process the data locally: the Artificial Intelligence of Things (AIoT) is born.
Collecting and processing data locally in an AIoT node not only reduces the communication payload and the processing latency, it also increases the quality of service and the privacy of data. However, new challenges appear for these AIoT nodes. Firstly, energy efficiency is key for AIoT devices, as local data processing has a high energy cost. Moreover, considering the variable amounts of data collection in time, the AIoT node should optimize its power consumption depending on its task and its current energy level. Secondly, AIoT requires more memory than the current IoT nodes. While the weights used to process the data are sources of area and energy penalty, data quantization, sparse computing, and spiking neural networks are promising approaches to minimize their impact.
This Special Issue of JLPEA will cover all the new challenges and opportunities offered by AIoT.
Topics include but are not limited to the following:
- Hardware designs and architectural templates of AIoT nodes
- Distributed AIoT systems
- AI accelerators targeting the AIoT domain
- In/near-memory computing architectures
- Non-volatile memories for AIoT devices
- Optimization techniques targeting the AIoT domain
- Low-power design methodologies for AIoT nodes
- Energy harvesting and power management circuits for AIoT devices
- Emerging technologies and their application to AIoT devices
Dr. Andrea Calimera
Dr. Koushik Chakraborty
Dr. Amit Kumar Singh
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Low Power Electronics and Applications is an international peer-reviewed open access quarterly journal published by MDPI.
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