Results 81 to 90 of about 25,587 (261)
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae +13 more
wiley +1 more source
A Survey and Review on the BFV Homomorphic Encryption Hardware Architecture Implementations
Homomorphic encryption (HE) enables secure computation on encrypted data, preserving privacy in applications such as cloud computing, healthcare, and privacy-preserving AI.
Ardianto Satriawan +2 more
doaj +1 more source
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung +9 more
wiley +1 more source
Advancements in neural network acceleration: a comprehensive review
The rapid growth of short video platforms, along with advances in big data and the Internet of Things (IoT), has significantly increased the volume of data being generated, providing a strong foundation for the development of artificial intelligence (AI).
Yu-Hao Liu, Yu-Chun Chang, Yan-Hua Ma
doaj +1 more source
Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review
Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase +6 more
wiley +1 more source
As the complexity of convolutional neural networks (CNN) continues to increase, efficient deployment on computationally constrained hardware platforms has become a significant challenge. Against this backdrop, field-programmable gate arrays (FPGA) emerge
Li Gao, Zhongqiang Luo, Lin Wang
doaj +1 more source
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
Scalable 5G NR Rate-Matcher and Rate-Dematcher for Efficient Use in FPGA Accelerators
5G new radio supports a variety of new technologies and services, demanding significant improvements in radio access network (RAN) latency, throughput, and flexibility.
Nemanja Filipovic +2 more
doaj +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
Many-body computing on Field Programmable Gate Arrays
Improving many-body computational efficiency is crucial for exploring condensed matter systems. However, existing acceleration methods are limited and mostly based on von Neumann-like architectures. Here we leverage the capabilities of Field Programmable
Songtai Lv +7 more
doaj +1 more source

