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Disaggregated machine learning via in-physics computing at radio frequency. [PDF]
Gao Z +4 more
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Optimizing Patient Selection for Reduced Nonrelapse Mortality After Reduced-Intensity Conditioning: A CIBMTR Analysis. [PDF]
Akahoshi Y +8 more
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Effects of low-serum adaptation on growth and protein expression in stably lactoferrin-overexpressing mammary alveolar cells. [PDF]
Qiang Z +13 more
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IEEE Std 802.11ba-2021 (Amendment to IEEE Std 802.11-2020 as amendment by IEEE Std 802.11ax-2021, and IEEE Std 802.11ay-2021), 2021
This amendment defines modifications to both the IEEE 802.11 physical layer (PHY) and the IEEE 802.11 medium access control (MAC) sublayer for wake-up radio operation.
semanticscholar +1 more source
This amendment defines modifications to both the IEEE 802.11 physical layer (PHY) and the IEEE 802.11 medium access control (MAC) sublayer for wake-up radio operation.
semanticscholar +1 more source
IEEE International Solid-State Circuits Conference, 2022
Computing-in-memory (CIM) is being widely explored to minimize power consumption in data movement and multiply-and-accumulate (MAC) for edge-AI devices.
H. Fujiwara +17 more
semanticscholar +1 more source
Computing-in-memory (CIM) is being widely explored to minimize power consumption in data movement and multiply-and-accumulate (MAC) for edge-AI devices.
H. Fujiwara +17 more
semanticscholar +1 more source
A Survey on MAC Protocol Approaches for Underwater Wireless Sensor Networks
IEEE Sensors Journal, 2021Since communications in the Underwater Wireless Sensor Networks (UWSNs) have limited resources and capabilities, designing an efficient and reliable Media Access Control (MAC) protocol for UWSNs faces many challenges. UWSNs have limited bandwidth, power,
Ahmed Al Guqhaiman +3 more
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15.5 A 28nm 64Kb 6T SRAM Computing-in-Memory Macro with 8b MAC Operation for AI Edge Chips
IEEE International Solid-State Circuits Conference, 2020Advanced AI edge chips require multibit input (IN), weight (W), and output (OUT) for CNN multiply-and-accumulate (MAC) operations to achieve an inference accuracy that is sufficient for practical applications.
Xin Si +26 more
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IEEE International Solid-State Circuits Conference, 2019
Embedded nonvolatile memory (NVM) and computing-in-memory (CIM) are significantly reducing the latency (tMAC) and energy consumption (EMAC) of multiply- and-accumulate (MAC) operations in artificial intelligence (AI) edge devices [1, 2].
Cheng-Xin Xue +21 more
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Embedded nonvolatile memory (NVM) and computing-in-memory (CIM) are significantly reducing the latency (tMAC) and energy consumption (EMAC) of multiply- and-accumulate (MAC) operations in artificial intelligence (AI) edge devices [1, 2].
Cheng-Xin Xue +21 more
semanticscholar +1 more source
Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems, 2011
In this paper, we propose a collaborative design method combining the informal power of creative session and the formal generative power of a mixed interaction model called MACS (Model Assisted Creativity Session). By using a formal notation during creative sessions, interdisciplinary teams systematically explore combinations between the physical and ...
Christophe Bortolaso +2 more
openaire +1 more source
In this paper, we propose a collaborative design method combining the informal power of creative session and the formal generative power of a mixed interaction model called MACS (Model Assisted Creativity Session). By using a formal notation during creative sessions, interdisciplinary teams systematically explore combinations between the physical and ...
Christophe Bortolaso +2 more
openaire +1 more source

