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Communication et études de l’IA : mémoire du futur
Interfaces Numériques, 2020 Pour aborder la question de la mémoire du futur, ce texte se centre sur un récit de vie que nous avons recueilli auprès de Grégory Chatonsky, artiste dont la production est fortement imprégnée par les outils d’intelligence artificielle. Parmi ces outils,
Franck Renucci +2 more
doaj +1 more source
Characterization of GaN Nanorods Fabricated Using Ni Nanomasking and Reactive Ion Etching: A Top-Down Approach [PDF]
, 2013 Large thermal mismatch between GaN surface and sapphire results in compressive stress in Gallium Nitride (GaN) layer which degrades the device performance.
Christiansen, S. +4 more
core
Fictitious GAN: Training GANs with Historical Models [PDF]
, 2018 Generative adversarial networks (GANs) are powerful tools for learning generative models. In practice, the training may suffer from lack of convergence. GANs are commonly viewed as a two-player zero-sum game between two neural networks. Here, we leverage this game theoretic view to study the convergence behavior of the training process. Inspired by the
Ying Wu +4 more
openaire +3 more sources
Molecular Oncology, EarlyView.Non‐small cell lung cancer targeted treatment is limited to a few known genetic alterations, with few alternatives in advanced treatment lines. To direct treatment decisions by drug sensitivity testing (DST), this study compared several methods for tumor cell isolation from malignant effusions, pointing to repeated CD45+ cell depletion for effective ...
Navit Mooshayef +10 more
wiley +1 more source
AE-CGAN Model based High Performance Network Intrusion Detection System
Applied Sciences, 2019 In this paper, a high-performance network intrusion detection system based on deep learning is proposed for situations in which there are significant imbalances between normal and abnormal traffic.
JooHwa Lee, KeeHyun Park
doaj +1 more source
The 2018 GaN power electronics roadmap
Journal of Physics D: Applied Physics, 2018 Gallium nitride (GaN) is a compound semiconductor that has tremendous potential to facilitate economic growth in a semiconductor industry that is silicon-based and currently faced with diminishing returns of performance versus cost of investment.
H. Amano +63 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Raphin‐1 reduces the survival of PED‐DHGG cells and enhances their radiation sensitivity through both PeIF2α‐dependent and PeIF2α‐independent mechanisms. Raphin‐1 sustains elevated levels of PeIF2α, contributing to its PeIF2α‐dependent effects. Additionally, raphin‐1 interacts with CReP to mediate a separate radiosensitizing pathway that operates ...
Karin Eytan +4 more
wiley +1 more source
Electrical Properties of Atomic Layer Deposited Aluminum Oxide on Gallium Nitride
, 2011 We report on our investigation of the electrical properties of metal/Al2O3/GaN metal-insulator-semiconductor (MIS) capacitors. We determined the conduction band offset and interface charge density of the alumina/GaN interface by analyzing capacitance ...
Bajaj, Sanyam +5 more
core +1 more source
Molecular Oncology, EarlyView.This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +1 more source
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
, 2017 Conditional Generative Adversarial Networks (GANs) for cross-domain image-to-image translation have made much progress recently. Depending on the task complexity, thousands to millions of labeled image pairs are needed to train a conditional GAN. However,
Gong, Minglun +3 more
core +1 more source