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The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Quantum-like representation of neuronal networks' activity: modeling "mental entanglement". [PDF]
Khrennikov A, Yamada M.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Human lungs fluid mechanics: an overview of current modelling techniques. [PDF]
Romanò F.
europepmc +1 more source
Parametric Modeling of Cochlear Electrode Arrays Using Design of Experiments and Finite Element Analysis (FEA). [PDF]
Alaboodi AS, Alsamri J.
europepmc +1 more source
Relative Entropy Computations for Nonlinear Deformations of the Porous Steel Structures. [PDF]
Strąkowski M, Kamiński M.
europepmc +1 more source
Modeling method and verification of interface contact stiffness based on micro-surface morphology detection. [PDF]
Lu S, Feng B, Chen Y.
europepmc +1 more source
Kolmogorovian Censorship, Predictive Incompleteness, and the Locality Loophole in Bell Experiments. [PDF]
Grangier P.
europepmc +1 more source

