Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Technical classification of professional cycling stages using unsupervised learning: implications for performance variability. [PDF]
Garcia-Atutxa I +2 more
europepmc +1 more source
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad +5 more
wiley +1 more source
Fault Detection in MV Switchgears Through Unsupervised Learning of Temperature Conditions. [PDF]
Iadarola G +3 more
europepmc +1 more source
Unsupervised Learning-Based Anomaly Detection for Bridge Structural Health Monitoring: Identifying Deviations from Normal Structural Behaviour. [PDF]
Nesackon Abraham J +5 more
europepmc +1 more source
Supervised and unsupervised learning for lung perfusion data segmentation in electrical impedance tomography. [PDF]
Victor M +6 more
europepmc +1 more source
Antimicrobial resistance (AMR) is an escalating global threat driven by antimicrobial use in aquaculture and livestock. Resistant pathogens and genes can spread across humans, animals, and the environment through interconnected ecosystems. Using a One Health approach, this review emphasizes antimicrobial stewardship, regulatory strengthening, enhanced ...
Mir Mohammad Ali +10 more
wiley +1 more source
Unsupervised learning of temporal regularities in visual cortical populations. [PDF]
Pojoga S, Andrei A, Dragoi V.
europepmc +1 more source
A Metabolomic Signature Predicts Gout Flare Clinical Outcome Associated With Colchicine Prophylaxis
Objective This study investigated that serum metabolomics, before urate‐lowering therapy (ULT) initiation, could serve as a biomarker for responsiveness to colchicine prophylaxis in patients with gout commencing treat‐to‐target ULT. Methods We studied a multicenter prospective cohort (n = 409) initiating treat‐to‐target ULT plus colchicine prophylaxis.
Wenyan Sun +13 more
wiley +1 more source
Physical activity phenotypes in endometriosis using unsupervised learning via functional mixture models. [PDF]
Tricoche BT +7 more
europepmc +1 more source

