Organic Thin‐Film Transistors for Neuromorphic Computing
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy +2 more
wiley +1 more source
Variable co-adaptation: exploring the emergence of teacher-student interaction patterns in award-winning EFL classes through the CDST lens. [PDF]
Chen B, Zhang W, Xie Y.
europepmc +1 more source
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
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
Toward LLM-aware software effort estimation: a conceptual framework. [PDF]
Alaswad F, Poovammal E, Aljaddouh B.
europepmc +1 more source
RRAM Variability Harvesting for CIM‐Integrated TRNG
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende +4 more
wiley +1 more source
Bridging the gap: A systematic approach to integrating serum and plasma proteomic datasets for biomarker studies. [PDF]
Lahav C +14 more
europepmc +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Transforming the automotive industry: Defining, clustering, and efficiency analysis of the next-generation automotive ecosystem. [PDF]
Shon M, Kim J, Kim H.
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
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
Non-negative matrix factorization and deconvolution as a dual simplex problem. [PDF]
Kleverov D +3 more
europepmc +1 more source

