Results 81 to 90 of about 363,084 (286)
Catastrophic forgetting: still a problem for DNNs
, 2019 We investigate the performance of DNNs when trained on class-incremental visual problems consisting of initial training, followed by retraining with added visual classes.
Abdullah, S. +3 more
core +1 more source
Organic Thin‐Film Transistors for Neuromorphic Computing
Advanced Electronic Materials, EarlyView.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
British Educational Research Journal, EarlyView., 2023 Abstract Children's relationship with time in preschools is an under‐researched area. Young children rarely know how to measure time using a clock, but their experiences of time may contribute to understanding children's well‐being and debates about quality in preschools.
Kristín Dýrfjörð +3 more
wiley +1 more source
Exploring the Notion of Forgetting
, 2017 Ignorance and forgetting are similar in some regards, as both involve a state of not knowing. Often forgetting, like ignorance, can put us at a disadvantage in regards to a lack of retaining knowledge. Forgetting can lead to ignorance if not realized and
Coyne, Nora H.
core
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks [PDF]
, 2015 Catastrophic forgetting is a problem faced by many machine learning models and algorithms. When trained on one task, then trained on a second task, many machine learning models "forget" how to perform the first task.
Bengio, Yoshua +4 more
core
Advanced Electronic Materials, EarlyView.A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos +4 more
wiley +1 more source
Forgetting FitzGerald's Rubaiyat
SEL Studies in English Literature 1500-1900, 2001 Readers have not forgotten the Rubáiyát: by the end of the nineteenth century it “must have been a serious contender for the title of the most popular long poem in English,” and since then it has steadily continued to appear in innumerable (usually illustrated) editions. Critics, on the other hand, seem to have taken FitzGerald at his word.
openaire +3 more sources
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Effectiveness of active forgetting in machine learning applied to financial problems
Journal of Telecommunications and Information Technology, 2002 One of main features in financial investment problems is that the situation changes very often over time. Under this circumstance, in particular, it has been observed that additional learning plays an effective role.
Hirotaka Nakayama, Kengo Yoshii
doaj +1 more source
Forgetting complex propositions
, 2015 This paper uses possible-world semantics to model the changes that may occur in an agent's knowledge as she loses information. This builds on previous work in which the agent may forget the truth-value of an atomic proposition, to a more general case ...
Fernández-Duque, David +4 more
core +1 more source