Results 221 to 230 of about 51,131 (309)

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

A High-Precision Anti-Jamming Algorithm Based on Newton-Iteration-Enhanced Three-Spectral-Line RIFE with Real-Time Implementation. [PDF]

Sensors (Basel)
Tang X, Wang Y.
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

The impact of the 2019 revision of China's drug administration law on the innovative output of pharmaceutical and biotechnology enterprises-a quasi-natural experimental study using sharp regression discontinuity design. [PDF]

Front Med (Lausanne)
Zhu Y, Liu Y, Chen Y, Meng L.
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

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Ultrafast Random Number Generation Using Broadband Polarization Chaos in QD Spin-VCSELs. [PDF]

Sensors (Basel)
Tselios C, Georgiou P, Politi CT, Alexandropoulos D.   +3 more
europepmc   +1 more source

Nonmonotonic Enhancement of Electro‐Optic Properties of Wurtzite AlN Thin Films by Sc Doping

Advanced Electronic Materials, EarlyView.
EO coefficient, rc, for Sc‐AlN thin films in comparison with that for Mg ZnO thin films (left). Calculated electric field intensity of the fundamental mode supported by the active area that includes Sc‐AlN (right). ABSTRACT Wurtzite ferroelectrics, such as Sc‐doped AlN, have recently attracted considerable attention for their potential in realizing ...
K. Abe, X. Yuan, K. Okamoto, X. Liu, C. Wang, T. Wu, H. Funakubo, S. Kondo, T. Nagasaki, P. Ma, A. Emboras, T. Yamada   +11 more
wiley   +1 more source

Dynamic optimization of high-bandwidth multi-receiver signals for civil aircraft flight tests telemetry. [PDF]

PLoS One
Liu T, Zhao C.
europepmc   +1 more source