Results 171 to 180 of about 35,242 (295)

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
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

Explainable AI in Medical Image Analysis

open access: yes
The use of Artificial Intelligence (AI) in the medical domain is of high interest. AI could facilitate the work of physicians and guide them in their clinical decision-making. However, many AI-based methods are still a black box and hardly understood. As
Pfaehler, Elisabeth, Krieger, Lena
core  

CHRONOPROF: Profiling Time Series Forecasters and Classifiers in Mobile Networks with Explainable AI [PDF]

open access: yes
The next-generation of mobile networks will increasingly rely on Artificial Intelligence (AI)/Machine Learning (ML) for effective network automation, resource orchestration and management.
Kamath, Anirudh   +4 more
core  

Explainable AI in nuclear medicine. [PDF]

open access: yesEur J Nucl Med Mol Imaging
Holm S   +17 more
europepmc   +1 more source

Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies

open access: yesAdvanced Functional Materials, EarlyView.
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

Explainable AI in Cancer Imaging: Scoping Review of Methods, Modalities, and Clinical Integration. [PDF]

open access: yesJ Med Internet Res
Fotopoulos D   +5 more
europepmc   +1 more source

Resolving the Cu(bdc) Conundrum: Identifying Non‐Porous Packing of Prototypical Coordination‐Network Thin Films Combining Advanced Diffraction Techniques and Computational Modelling

open access: yesAdvanced Functional Materials, EarlyView.
Solution‐processed Cu(bdc) forms prototypical MOF thin films for which a multitude of not fully satisfactory structural models have been suggested. Combining rotating grazing‐incidence diffraction and X‐ray reflectivity on two complementary samples with density‐functional theory, we first discard the previously suggested models and then identify a non ...
Narges Taghizade   +7 more
wiley   +1 more source

Towards the design of artificial sensing materials via quantum-informed explainable AI. [PDF]

open access: yesJ Cheminform
Chen L   +4 more
europepmc   +1 more source

Chiral Phase Change Nanomaterials

open access: yesAdvanced Functional Materials, EarlyView.
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

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