Results 131 to 140 of about 1,314,055 (250)

Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell

Nature Communications
Memristor-based neural networks provide an exceptional energy-efficient platform for artificial intelligence (AI), presenting the possibility of self-powered operation when paired with energy harvesters.
Fadi Jebali, Atreya Majumdar, Clément Turck, Kamel-Eddine Harabi, Mathieu-Coumba Faye, Eloi Muhr, Jean-Pierre Walder, Oleksandr Bilousov, Amadéo Michaud, Elisa Vianello, Tifenn Hirtzlin, François Andrieu, Marc Bocquet, Stéphane Collin, Damien Querlioz, Jean-Michel Portal   +15 more
doaj   +1 more source

Brain Pericytes and Wnt/β‐Catenin Signaling Induce Functional Blood–Brain Barrier Phenotype in Human iPSC‐Derived Model

Small Methods, EarlyView.
This study shows that human iPSC‐derived endothelial cells acquire a functional blood–brain barrier phenotype when co‐cultured with brain pericytes and stimulated with CHIR‐99021, a Wnt/β‐catenin activator. This model recapitulates key barrier properties, inflammatory responses, and transcriptomic features of the native human BBB, offering new ...
Henrique Nogueira Pinto, Nine R. Kok, Philipp C. Hauger, Manon Karsten‐van Diepen, Michael de Kok, Nanne J. Paauw, Susanne M. A. van der Pol, Joline P. Nugteren‐Boogaard, Peter L. Hordijk, Stephanie D. Beekhuis‐Hoekstra, Susan Gibbs, Nienke M. de Wit, Helga E. de Vries   +12 more
wiley   +1 more source

PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses

Journal of Forensic Sciences, EarlyView.
Abstract The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half decade; however, there is a lack of a standardized protocol on how to curate, use, and assess ML models. We introduce PUMAA (A Protocol for Utilizing Machine Learning in Forensic Anthropological Analyses), which includes a flowchart and a ...
Eman Faisal, Tracy L. Rogers
wiley   +1 more source

CISO: Species distribution modelling Conditioned on Incomplete Species Observations

Methods in Ecology and Evolution, EarlyView.
Abstract Species distribution models (SDMs) are widely used to predict species' geographic distributions, serving as critical tools for ecological research and conservation planning. Typically, SDMs relate species occurrences to environmental variables representing abiotic factors, such as temperature, precipitation, and soil properties.
Hager Radi Abdelwahed, Mélisande Teng, Robin Zbinden, Laura Pollock, Hugo Larochelle, Devis Tuia, David Rolnick   +6 more
wiley   +1 more source

Impact of Synaptic Device Variations on Classification Accuracy in a Binarized Neural Network

Scientific Reports, 2019
Brain-inspired neuromorphic systems (hardware neural networks) are expected to be an energy-efficient computing architecture for solving cognitive tasks, which critically depend on the development of reliable synaptic weight storage (i.e., synaptic ...
Sungho Kim, Hee-Dong Kim, Sung-Jin Choi
doaj   +1 more source

The persistent advantage of model‐based phylogenetic methods for single‐trait prediction

Methods in Ecology and Evolution, EarlyView.
Abstract Reliable predictions of biological traits support a wide range of applications, from bioprospecting to informing conservation priorities. Given the complexity and diversity of trait evolution, robust methods for trait prediction are essential for drawing meaningful evolutionary inferences from phylogenetic data.
Adam Richard‐Bollans, Daniele Silvestro   +1 more
wiley   +1 more source

Tau‐targeting active immunotherapy slows progression and reduces pathology in mouse models of tauopathy

Brain Pathology, EarlyView.
The efficacy of the novel anti‐tau active immunotherapy, p5555kb, was tested using two mouse models of tau pathology. p5555kb inoculation increased the survival rate and reduced tau pathology in tau‐overexpressing P301L mice and decreased tau seeding in the brains of C57BL/6 mice injected with human‐purified Alzheimer's disease tau.
Christopher M. Brown, Jeanne K. Brooks, Louise Kelly, Madeline M. Vroom, Matthew Longo, Jean‐Cosme Dodart, Roxana Carare, Justin D. Boyd   +7 more
wiley   +1 more source

Label Noise in Pathological Segmentation Is Overlooked, Leading to Potential Overestimation of Artificial Intelligence

Cancer Science, EarlyView.
This study evaluated how artificial label noise affects cancer pathology segmentation models, demonstrating that boundary‐dependent noise leads to overestimation of performance metrics, while random noise mixtures further harm generalization. Our results highlight the need for standardized noise‐quantification and mitigation methods and for developing ...
Kenji Harada, Yuichiro Nomura, Daisuke Komura, Shumpei Ishikawa, Shingo Sakashita   +4 more
wiley   +1 more source

Graph Neural Network‐Based Multi‐Scale Whole Slide Image Fusion for pT Staging of Muscle‐Invasive Bladder Cancer

Cancer Science, EarlyView.
Accurate pT staging in muscle‐invasive bladder cancer is essential for treatment and prognosis, but current methods rely on time‐consuming and variable microscopic evaluation. We developed a graph neural network–based model that integrates multi‐scale whole‐slide images to automate pT staging, achieving excellent performance with an AUC of 0.911 and ...
Qian Li, Qing Feng Chen, Nan Qing Liao
wiley   +1 more source

Spike–fast activity interplay: A gateway to seizure

Epilepsia, EarlyView.
Abstract Objective The transition from interictal discharges to ictal high‐frequency activity (HFA) remains poorly understood. We investigated whether spike‐associated high‐frequency oscillations (Sp‐HFOs) during interictal and preictal periods contribute to the emergence of ictal HFA.
Thandar Aung, Aude Jegou, Patrick Chauvel   +2 more
wiley   +1 more source