Results 171 to 180 of about 35,242 (295)
Precision biomarker discovery in hypertension through explainable AI and proteomics. [PDF]
Sekaran K, Zayed H.
europepmc +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
Explainable AI in Medical Image Analysis
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]
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]
Holm S +17 more
europepmc +1 more source
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
Explainable AI in Cancer Imaging: Scoping Review of Methods, Modalities, and Clinical Integration. [PDF]
Fotopoulos D +5 more
europepmc +1 more source
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]
Chen L +4 more
europepmc +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

