Results 191 to 200 of about 47,667 (263)

The spinal lymphatic system: an emerging pathway bridging fluid homeostasis, immunity, and disease. [PDF]

Bone Res
Hou Y, Wu J, Yang S, Wang H, Wang X, Lu Z, Chen Z, Feng J, Wang H.   +8 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Tracing the pathways to Yathrib (Al-Madinah): A GIS-based analysis of settlement patterns and ancient trade networks. [PDF]

PLoS One
Metwaly M, Alshami A.
europepmc   +1 more source

Enabling Quantum‐Compatible Nonvolatile Memory: Cryogenic Evaluation of 1T1R HfO2‐Based RRAM From 300 to 1.5 K

Advanced Electronic Materials, EarlyView.
Resistive memory devices are explored for operation at extremely low temperatures relevant to quantum computing. The study reveals how transistor behavior strongly influences memory performance under cryogenic conditions and introduces an optimized programming strategy.
Emilio Pérez‐Bosch Quesada, Alberto Mistroni, Ruolan Jia, Keerthi Dorai Swamy Reddy, Markus Fritscher, Felix Reichmann, Oliver Skibitzki, Juan Bautista Roldán, Helena Castán, Salvador Dueñas, Christian Wenger, Eduardo Pérez   +11 more
wiley   +1 more source

Phylogeography of <i>Cranoglanis</i> (Teleostei: <i>Cranoglanididae</i>) Reveals Discordance Between Nominal Species and Maternal Lineages: A Broadly Distributed Clade Co-Occurring with a Cryptic Endemic in the Pearl River. [PDF]

Animals (Basel)
Huang XP, Li YQ, Wu T, Huang Q, Wan LL, Xie SL, Zou JX, Wei GF, Zhang Q.   +8 more
europepmc   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

New Insights Into the Biogeography of Six <i>Garra</i> Species (Teleostei: Cyprinidae) in the Persian Gulf Basin. [PDF]

Ecol Evol
Hashemzadeh Segherloo I, Naser MD, Yasser AG, Tabatabaei SN, Shaloei F, Rahmati S, Keshani H, Mansouri A, Normandeau E, Freyhof J, Hallerman E, García-Machado E, Changizi A, Bernatchez L.   +13 more
europepmc   +1 more source

Silicon Nitride Resistive Memories

Advanced Electronic Materials, EarlyView.
Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis, Nikolaos Vasileiadis, Iosif‐Angelos Fyrigos, Emmanouil Stavroulakis, Caroline Bonafos, Pascal Normand, Georgios Ch. Sirakoulis, Panagiotis Dimitrakis   +7 more
wiley   +1 more source

The ResNet network of dams impounding storage reservoirs across the continental United States. [PDF]

Sci Data
Hurst AA, Foster MA, Eckland AC.
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source