Artificial intelligence‐enabled sensing technologies in the 5G/internet of things era: from virtual reality/augmented reality to the digital twin

Z Zhang, F Wen, Z Sun, X Guo, T He… - Advanced Intelligent …, 2022 - Wiley Online Library
With the development of 5G and Internet of Things (IoT), the era of big data‐driven product
design is booming. In addition, artificial intelligence (AI) is also emerging and evolving by …

In-memory computing with emerging memory devices: Status and outlook

P Mannocci, M Farronato, N Lepri, L Cattaneo… - APL Machine …, 2023 - pubs.aip.org
In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …

In‐sensor computing: materials, devices, and integration technologies

T Wan, B Shao, S Ma, Y Zhou, Q Li… - Advanced materials, 2023 - Wiley Online Library
The number of sensor nodes in the Internet of Things is growing rapidly, leading to a large
volume of data generated at sensory terminals. Frequent data transfer between the sensors …

Adaptive extreme edge computing for wearable devices

E Covi, E Donati, X Liang, D Kappel… - Frontiers in …, 2021 - frontiersin.org
Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

Hierarchies in visual pathway: functions and inspired artificial vision

S Zhu, T **e, Z Lv, YB Leng, YQ Zhang, R Xu… - Advanced …, 2024 - Wiley Online Library
The development of artificial intelligence has posed a challenge to machine vision based on
conventional complementary metal‐oxide semiconductor (CMOS) circuits owing to its high …

Brain-inspired computing via memory device physics

D Ielmini, Z Wang, Y Liu - APL Materials, 2021 - pubs.aip.org
In our brain, information is exchanged among neurons in the form of spikes where both the
space (which neuron fires) and time (when the neuron fires) contain relevant information …

Effect of the threshold kinetics on the filament relaxation behavior of Ag‐based diffusive memristors

SA Chekol, S Menzel, RW Ahmad… - Advanced functional …, 2022 - Wiley Online Library
Owing to their unique features such as thresholding and self‐relaxation behavior diffusive
memristors built from volatile electrochemical metallization (v‐ECM) devices are drawing …

HfO2-based resistive switching memory devices for neuromorphic computing

S Brivio, S Spiga, D Ielmini - Neuromorphic Computing and …, 2022 - iopscience.iop.org
HfO 2-based resistive switching memory (RRAM) combines several outstanding properties,
such as high scalability, fast switching speed, low power, compatibility with complementary …

Ferroelectric-based synapses and neurons for neuromorphic computing

E Covi, H Mulaosmanovic, B Max… - Neuromorphic …, 2022 - iopscience.iop.org
The shift towards a distributed computing paradigm, where multiple systems acquire and
elaborate data in real-time, leads to challenges that must be met. In particular, it is becoming …

Neuromorphic computing at scale

D Kudithipudi, C Schuman, CM Vineyard, T Pandit… - Nature, 2025 - nature.com
Neuromorphic computing is a brain-inspired approach to hardware and algorithm design
that efficiently realizes artificial neural networks. Neuromorphic designers apply the …