Results 101 to 110 of about 2,835,830 (298)

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

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

Advanced Functional Materials, EarlyView.
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi, Federico Rondelli, Francesco Torricelli, Federica Velluto, Anna De Salvo, Michele Di Lauro, Luciano Fadiga, Fabio Biscarini   +7 more
wiley   +1 more source

Transposable elements as a potential source for understanding the fish genome

, 2011
Transposable elements are repetitive sequences with the capacity to move inside of the genome. They constitute the majority of the eukaryotic genomes, and are extensively present in the human genome, representing more than 45% of the genome sequences ...
Porto-Foresti, Fábio [UNESP], Oliveira, Claudio de [UNESP], Daniela Cristina Ferreira, Foresti, Fausto [UNESP], Fausto Foresti, Porto-Foresti, Fábio, Claudio Oliveira, Ferreira, Daniela Cristina [UNESP], Fabio Porto-Foresti, Ferreira, Daniela Cristina, Oliveira, Claudio de, Foresti, Fausto   +11 more
core   +1 more source

Tools and best practices for retrotransposon analysis using high-throughput sequencing data

Mobile DNA, 2019
Background Sequencing technologies give access to a precise picture of the molecular mechanisms acting upon genome regulation. One of the biggest technical challenges with sequencing data is to map millions of reads to a reference genome. This problem is
Aurélie Teissandier, Nicolas Servant, Emmanuel Barillot, Deborah Bourc’his   +3 more
doaj   +1 more source

Quantification of Phosphorylated Tau Protein in Alzheimer's Disease Patients’ Fluids With Electrolyte‐Gated Organic Transistor Biosensors

Advanced Healthcare Materials, EarlyView.
Dementia syndrome affects millions of people in the world, and Alzheimer's disease (AD) is the most common cause. We report the detection of the specific biomarker for AD, p‐tau‐181, from physiological to pathological concentrations in cerebrospinal fluid using an electrolyte‐gated organic transistor biosensor.
Marcello Berto, Pamela A. Manco Urbina, Alessandro Paradisi, Matteo Sensi, Najara Iacovino, Chiara Carbone, Roberta Bedin, Marcello Pinti, Fabio Biscarini, Giovanna Zamboni, Carlo A. Bortolotti   +10 more
wiley   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Transcriptional activity of transposable elements in maize

, 2021
Background: Mobile genetic elements represent a high proportion of the Eukaryote genomes. In maize, 85% of genome is composed by transposable elements of several families.
Vicient Sánchez, Carlos M.
core  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Tailoring Symmetry Breaking in Engineered van der Waals Superlattices

Advanced Materials, EarlyView.
We pioneer a scheme to tailor superpotentials in graphene based on intrinsic substrate electronic orders rather than twist angle. The resulting superpotential folds graphene's Dirac cones to either Γ$\Gamma$ or K‐points, leading to distinct symmetry behaviors.
Keda Jin, Lennart Klebl, Zachary A. H. Goodwin, Junting Zhao, Felix Lüpke, Dante M. Kennes, Jose Martinez‐Castro, Markus Ternes   +7 more
wiley   +1 more source