Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip. [PDF]
Chen A +17 more
europepmc +1 more source
Hardware-Accelerated neural network
This work presents a parametrizable design of a neural network on an FPGA, being trained previously in the CPU using backpropagation. We test different configurations and report delay, power and area.
openaire +1 more source
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li +12 more
wiley +1 more source
Hybrid Framework for Secure Low-Power Data Encryption with Adaptive Payload Compression in Resource-Constrained IoT Systems. [PDF]
Choi YR, Jeong HY, Moon S.
europepmc +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
MediONN: an integrated photonic chip optical neural network for deep learning-based semantic segmentation in early detection of pancreatic cancer. [PDF]
Yang CJ +6 more
europepmc +1 more source
Pellet Printing for Soft Robotic Devices
Fused Granulate Fabrication (FGF) is established here as a reliable method for fabricating soft, airtight robotic devices. Through coordinated optimization of hardware, material selection, and process parameters, this approach enables high‐speed printing of thermoplastic elastomers with silicone‐like softness and modulus.
Yijia Wu +6 more
wiley +1 more source
Efficient spiking convolutional neural networks accelerator with multi-structure compatibility. [PDF]
Wu J +6 more
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Cross-sectional study on the current status of county-level cancer prevention and treatment capabilities in the four southwestern provinces of China. [PDF]
Tan X +9 more
europepmc +1 more source

