Everything Is Prediction: Modern Machine Learning as Bayesian Inference. [PDF]
Polson NG, Sokolov V, Soyer R.
europepmc +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Applying the Poincaré Disc Method to Analyze the Hierarchical Structure of TADs in Hi-C Data. [PDF]
Timofeev A, Bratchikov A, Anufriev A.
europepmc +1 more source
Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen +9 more
wiley +1 more source
Winter inversions and summer smoke: A season-dependent approach to PM₂.₅ modeling with low-cost sensors in complex terrain. [PDF]
Swanson A +4 more
europepmc +1 more source
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei +7 more
wiley +1 more source
A generalized two-step floating building catchment area model for measuring EMS accessibility with in-building patient access. [PDF]
Li J, Jin X, Luo W.
europepmc +1 more source
Exponential Smoothing Model Selection for Forecasting [PDF]
Applications of exponential smoothing to forecast time series usually rely on three basic methods: simple exponential smoothing, trend corrected exponential smoothing and a seasonal variation thereof. A common approach to select the method appropriate to
Baki Billah +3 more
core
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Dynamics and microstructures in aqueous solutions of polyacrylamide and acrylamide monomers assessed by molecular dynamics simulations combined with optical Kerr effect spectroscopy. [PDF]
Wang L, Wang H, Sha M.
europepmc +1 more source

