Results 211 to 220 of about 82,073 (264)
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko +2 more
wiley +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
A Review of Embedded Artificial Intelligence Research (2023-2026): Technological Advancements, Representative Advances, and Future Prospects. [PDF]
Zhang Z.
europepmc +1 more source
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AI computing reaches for the edge
Science, 2023A chip design integrates computation and memory to efficiently process data at low energy ...
Subramanian S, Iyer, Vwani, Roychowdhury
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Communications of the ACM, 2020
Shifting artificial intelligence to the "edge" of the network could transform computing… and everyday life.
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Shifting artificial intelligence to the "edge" of the network could transform computing… and everyday life.
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AI on the Edge: Architectural Alternatives
2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2020Since the advent of mobile computing and IoT, a large amount of data is distributed around the world. Companies are increasingly experimenting with innovative ways of implementing edge/cloud (re)training of AI systems to exploit large quantities of data to optimize their business value.
Meenu Mary John +2 more
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2018 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), 2018
Artificial intelligence (AI), defined as intelligence exhibited by machines, has many applications in today's society, including robotics, mobile devices, smart transportation, healthcare service, and more. Recently, lots of AI investment in both big companies and startups have launched.
Yen-Lin Lee, Pei-Kuei Tsung, Max Wu
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Artificial intelligence (AI), defined as intelligence exhibited by machines, has many applications in today's society, including robotics, mobile devices, smart transportation, healthcare service, and more. Recently, lots of AI investment in both big companies and startups have launched.
Yen-Lin Lee, Pei-Kuei Tsung, Max Wu
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Heterogeneous Computing for Edge AI
2019 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), 2019Current artificial intelligence (AI) with human-level accuracy has promising business values in many application fields. However, the price is high computation complexity and memory bandwidth. Therefore it is challenging to deploy AI onto edge devices where the power and hardware resource are limited. In this paper, the design challenges on Edge AI and
Pei-Kuei Tsung +4 more
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