Results 231 to 240 of about 85,494 (314)

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

Bayesian-calibrated global sensitivity analysis for mathematical models using generative AI. [PDF]

PLoS Comput Biol
Wang X.
europepmc   +1 more source

A Dual‐Memory Ferroelectric Transistor Emulating Synaptic Metaplasticity for High‐Speed Reservoir Computing

Advanced Electronic Materials, EarlyView.
A CMOS‐compatible ferroelectric transistor harnesses the interplay between stable gate polarization memory and volatile non‐quasi‐static channel charge dynamics to emulate how biological synapses regulate their own plasticity. This brain‐inspired dual‐memory mechanism, realized in a single device, enables a physical reservoir computer that solves ...
Yifan Wang, Muhammad Sakib Shahriar, Salma Soliman, Noah Vaillancourt, Lance Fernandes, Andrea Padovani, Asif Islam Khan, Md Sakib Hasan, Raisul Islam   +8 more
wiley   +1 more source

Enhancing computational thinking through coding education in primary school students: an experimental study on the impact of early programming exposure on problem-solving skills. [PDF]

Front Psychol
Wang X, Wan F, Dai J.
europepmc   +1 more source

Towards Real‐Time Monitoring of Soft Robotic Systems in Endoscopic Application With Ultra‐Flexible Organic Transistor‐Based Strain Sensors

Advanced Electronic Materials, EarlyView.
The integration of ultra‐flexible, all‐organic, field‐effect transistor‐based strain sensors to soft structures is reported for the development of sensorized soft robots. The envisaged application is the development of next‐generation, controllable, and observable soft robotic catheters for endoscopic applications, such as drug delivery. Mechanical and
Usama Mahmood, Andrea Bartolucci, Giulia Casula, Antonello Mascia, Lorenzo Vannozzi, Stefano Lai   +5 more
wiley   +1 more source

AI for scientific discovery is a social problem. [PDF]

Patterns (N Y)
Channing G, Ghosh A.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Introduction: frontiers of applied inverse problems in science and engineering. [PDF]

Philos Trans A Math Phys Eng Sci
Smyl D, Hauptmann A, Tallman T.
europepmc   +1 more source

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi, Ji‐Youn Bae, Ga‐On Park, Seung‐Ho Yu   +3 more
wiley   +1 more source

Integrating and developing computational thinking in higher education using micro:bit: examining the influence on pre-service teachers' self-perceived content knowledge, attitude, and emotion toward further K-12 mathematics education. [PDF]

Front Psychol
Jeong JS, González-Gómez D.
europepmc   +1 more source