Results 51 to 60 of about 1,007,642 (258)

Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network

Scientific Reports, 2021
Deep learning convolutional neural network (CNN) can predict mortality from chest radiographs, yet, it is unknown whether radiologists can perform the same task.
Jakob Weiss, Jana Taron, Zexi Jin, Thomas Mayrhofer, Hugo J. W. L. Aerts, Michael T. Lu, Udo Hoffmann   +6 more
doaj   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Take another little piece of my heart: a note on bridging cognition and emotions [PDF]

, 2017
Science urges philosophy to be more empirical and philosophy urges science to be more reflective. This markedly occurred along the “discovery of the artificial” (CORDESCHI 2002): in the early days of Cybernetics and Artificial Intelligence (AI ...
Boccignone, Giuseppe
core  

NanoMOF‐Based Multilevel Anti‐Counterfeiting by a Combination of Visible and Invisible Photoluminescence and Conductivity

Advanced Functional Materials, EarlyView.
This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner, Ruben Maile, Murat Cuvalli, Andreas Wolf, Ayisha Komal, Robert Oestreich, Christoph Janiak, Karl Mandel, Alexander Knebel, Klaus Müller‐Buschbaum   +9 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Association between left ventricle diastolic dysfunction and circadian blood pressure pattern in arterial hypertension

BMC Cardiovascular Disorders
Objective To assess the relationship between left ventricular diastolic dysfunction (LVDD) and circadian blood pressure (BP) pattern in arterial hypertension (AH). Methods A total of 96 patients with AH of I-II grades were examined.
I. U. Ekanayake, N. V. Bukvalnaya, L. N. Smirnova, S. J. N. Siddiarachchi, S. L. Ekanayake, A. P. Vitharana, L. V. Yakubova   +6 more
doaj   +1 more source

Selective and Precise Editing of Digital Polymers Through Parallel or Series Toehold‐Mediated Strand Displacement

Advanced Functional Materials, EarlyView.
A sequence‐encoded supramolecular construct containing two accessible toeholds is developed herein for enabling multiple editing operations. By introducing specific input strands, it is possible to selectively erase or rewrite digital content through parallel or series toehold‐mediated strand displacement (PTMSD or STMSD).
Jakub Ossowski, Cyril Antheaume, Jean‐François Lutz, Maria Nerantzaki   +3 more
wiley   +1 more source

Prediction of advanced chronic kidney disease through retinal fundus images by deep learning

Scientific Reports
This study was developed and evaluated deep learning model for detecting chronic kidney disease (CKD) by retinal fundus images. This study included 42,963 clinical visits from 17,442 patients who underwent retinal fundus examination between October 19 ...
Chuan-Fan Hsu, Tung-Min Yu, Ya-Lun Wu, Wei-Chun Wang, Jun-Sing Wang, Shih-Sheng Chang   +5 more
doaj   +1 more source

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source

Artificial General Intelligence

Scholarpedia, 2015
This edited volume gives the first-ever book-length presentation of contemporary research in the domain of Artificial General Intelligence (AGI). What distinguishes AGI research from run-of-the-mill AI research is that it is explicitly focused on engineering general intelligence ? autonomous, self-reflective, self-improving, commonsensical intelligence
openaire   +2 more sources