Results 91 to 100 of about 12,936,285 (295)

ABSTRACT Advances in Quantum Computational Learning Theory

, 2006
This dissertation explores results at the intersection of two important branches of theoretical computer science: quantum computation, which studies the power of computing devices based on quantum physical phenomena, and computational learning theory ...
Alp Atıcı
core  

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

Advanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee, Hyoik Jang, Ji Hwan Kim, Jonghyun Won, Namhee Kim, Wonseok Shin, Giwon Lee, Eunho Lee, Daegun Kim, Sungjun Park   +9 more
wiley   +1 more source

An Improved Extreme Learning Machine Based on Full Rank Cholesky Factorization

MATEC Web of Conferences, 2018
Extreme learning machine (ELM) is a new novel learning algorithm for generalized single-hidden layer feedforward networks (SLFNs). Although it shows fast learning speed in many areas, there is still room for improvement in computational cost.
Liu Zuozhi, Wu JinJian, Wang Jianpeng
doaj   +1 more source

Why Philosophers Should Care About Computational Complexity [PDF]

, 2011
One might think that, once we know something is computable, how efficiently it can be computed is a practical question with little further philosophical importance. In this essay, I offer a detailed case that one would be wrong.
Scott Aaronson, Aaronson, Scott
core  

Rational Control of Antibody Orientation for Enhancing Sensitivity and Specificity in Lateral Flow Immunoassays With Clinical Validation

Advanced Healthcare Materials, EarlyView.
Systematic investigation of antibody orientation strategies in lateral flow immunoassays reveals that a para‐substituted (aminomethyl)phenylboronic acid mediated probe (P‐6) combined with a biotin‐streptavidin test‐line modification achieves a synergistic 14‐ to 19‐fold sensitivity gain over conventional conjugation. Furthermore, multiplexed detection,
Pin‐Hao Wang, Shunmuga Nathan Shunmuga Nainar, Bing‐Han Zhuang, Shun‐Mao Yang, Hong‐Cheu Lin, Yang‐Hsiang Chan   +5 more
wiley   +1 more source

Toward a script theory of guidance in computer-supported collaborative learning [PDF]

, 2013
This article presents an outline of a script theory of guidance for computer-supported collaborative learning (CSCL). With its four types of components of internal and external scripts (play, scene, role, and scriptlet) and seven principles, this theory ...
Karsten Stegmann, Christof Wecker, Kollar, Ingo, Fischer, Frank, Ingo Kollar, Frank Fischer, Stegmann, Karsten, Wecker, Christof   +7 more
core   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Computational Theories of Curiosity-Driven Learning

, 2018
What are the functions of curiosity? What are the mechanisms of curiosity-driven learning?We approach these questions about the living using concepts and tools from machine learning and developmental robotics. We argue that curiosity-driven learning enables organisms to make discoveries to solve complex problems with rare or deceptive rewards.
openaire   +5 more sources

Computational Catalysis and Machine Learning Applications to Water Treatment Technologies [PDF]

Electrocatalysis can offer new routes to water treatment. For example, electrocatalytic reduction is an emerging technology for treating oxyanions of concern in water. However, identification of highly performant, cost-effective catalysts remains a major
Shiqiang, Zou, Shengcun, Ma, Wei, Tong, Anubhav, Jain, Ao, Xie, Duo, Wang   +5 more
core   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source