Results 131 to 140 of about 93,163 (295)
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Edge AI for Produce Recognition [PDF]
The growing availability of computational power and advanced machine learning techniques has accelerated the shift of artificial intelligence (AI) from centralized cloud-based systems toward edge computing.
Giordano, Roberto
core
Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley +1 more source
Chiral Phase Change Nanomaterials
This work demonstrates reversible, non‐volatile phase transitions in chiral Ge2${\rm Ge}_2$Sb2${\rm Sb}_2$Te5${\rm Te}_5$ (GST) nanohelices for high‐speed optical modulation of chirality and dynamic control of the state of polarization (SOP). The chiral nanostructures are fabricated using a highly directional, wafer‐scale physical vapor deposition ...
Joshua A. Burrow +11 more
wiley +1 more source
Edge AI for condition monitoring [PDF]
Condition monitoring plays a critical role in safeguarding the operational integrity and efficiency of edge devices such as batteries, automobiles, and mobile phones.
Hu, Zinan
core
Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon +4 more
wiley +1 more source
Intelligent Monitoring System with Privacy Preservation Based on Edge AI. [PDF]
Kim S, Park J, Jeong Y, Lee SE.
europepmc +1 more source
Mucoadhesive amphiphilic block and statistical copolymers were synthesized via Reversible Addition–Fragmentation Chain Transfer polymerization from bio‐sourced myrcene and polyethylene glycol methacrylate. The resulting polymers exhibit narrow molar‐mass distributions, high regioselectivity, well‐defined microstructures, and tend to self‐assemble into ...
David Gintsburg +9 more
wiley +1 more source

