Results 171 to 180 of about 522 (214)

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

open access: yesAdvanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang   +9 more
wiley   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

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

open access: yesAdvanced 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   +9 more
wiley   +1 more source

Bio‐Inspired Mechanical Amplification Block on Implantable Tactile Sensors

open access: yesAdvanced Electronic Materials, EarlyView.
 . ABSTRACT Implantable strain sensors offer opportunities for continuous biomechanical monitoring, but their performance deteriorates severely once embedded in soft tissue due to mechanical shielding that suppresses strain transmission to the sensing layer.
Sungbin Choi   +5 more
wiley   +1 more source

Higher levels of host-cell DNA methylation markers ZNF582 and ASCL1 on anal smears are predictive for progression to anal cancer in patients with previous high-grade lesions. [PDF]

open access: yesEBioMedicine
Ferré VM   +21 more
europepmc   +1 more source

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