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
The Choice of Monetary Instrument in Two Interdependent Economies Under Uncertainty [PDF]
This paper analyzes the choice of monetary instrument in a stochastic two country setting where each country's set of monetary policy instruments includes both the money supply and the interest rate.
Stephen J. Turnovsky, Vasco d'Orey
core
Nonlinear control of quadrotor UAV under rotor failure for robust trajectory tracking. [PDF]
Simha A, Ambroziak L.
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
Reinforcement learning-based control co-design of digital twin-enabled full-vehicle active suspension systems. [PDF]
Tsai YK, Chen YP, Karkaria V, Chen W.
europepmc +1 more source
Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays
A novel model‐based time‐modulated write algorithm efficiently programs analog 1R memristive crossbar arrays by varying pulse duration at a fixed voltage. By leveraging a physics‐based compact model and a dynamic gain mechanism, this approach overcomes device nonlinearities and parasitic effects.
Richard Schroedter +7 more
wiley +1 more source
Dynamic decision-making and differential game analysis of ESG-constrained closed-loop supply chains under cap-and-trade regulation. [PDF]
Lan H, Si X, Li X, Tang J.
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
Dynamical and Stochastic Analysis of a Piezoelectric Neuron Model for Intelligent Sensing Applications. [PDF]
Abdelkader A, Ehsan H, Jhangeer A.
europepmc +1 more source
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

