A 40nm 1Mb 35.6 TOPS/W MLC NOR-Flash based Computation-in-Memory Structure for Machine Learning

2021 ◽  
Author(s):  
Yuxin Zhang ◽  
Sitao Zeng ◽  
Zhiguo Zhu ◽  
Zhaolong Qin ◽  
Chen Wang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Memory Structure ◽  
Nor Flash

A Novel Body-Tied Fin Field Effect Transistor Flash Memory Structure with λ-Shaped Floating Gate for Sub 45 nm NOR Flash Memory

2008 ◽  
Vol 47 (8) ◽  
pp. 6304-6306 ◽  
Author(s):  
Yimao Cai ◽  
Yun Heub Song ◽  
Wook Hyun Kwon ◽  
Younggoan Jang ◽  
Wonhyeng Ryu ◽  
...  
Keyword(s):  
Flash Memory ◽  
Field Effect ◽  
Field Effect Transistor ◽  
Floating Gate ◽  
Memory Structure ◽  
Effect Transistor ◽  
Nor Flash

Erratum: “A Novel Body-Tied Fin Field Effect Transistor Flash Memory Structure with λ-Shaped Floating Gate for Sub 45 nm NOR Flash Memory”

2008 ◽  
Vol 47 (12) ◽  
pp. 9017-9017
Author(s):  
Yimao Cai ◽  
Yun Heub Song ◽  
Wook Hyun Kwon ◽  
Younggoan Jang ◽  
Wonhyeng Ryu ◽  
...  
Keyword(s):  
Flash Memory ◽  
Field Effect ◽  
Field Effect Transistor ◽  
Floating Gate ◽  
Memory Structure ◽  
Effect Transistor ◽  
Nor Flash

Mind wandering as data augmentation: How mental travel supports abstraction

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber
Keyword(s):  
Machine Learning ◽  
Data Augmentation ◽  
Mental Content ◽  
Mind Wandering ◽  
Theoretical Framework ◽  
Important Addition

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Mathematics for Machine Learning

2020 ◽  
Author(s):  
Marc Peter Deisenroth ◽  
A. Aldo Faisal ◽  
Cheng Soon Ong
Keyword(s):  
Machine Learning

Phase Transitions in Machine Learning

2009 ◽  
Author(s):  
Lorenza Saitta ◽  
Attilio Giordana ◽  
Antoine Cornuejols
Keyword(s):  
Machine Learning ◽  
Phase Transitions

Understanding Machine Learning

2009 ◽  
Author(s):  
Shai Shalev-Shwartz ◽  
Shai Ben-David
Keyword(s):  
Machine Learning

Using machine learning techniques to reduce data annotation time

2006 ◽  
Author(s):  
Christopher Schreiner ◽  
Kari Torkkola ◽  
Mike Gardner ◽  
Keshu Zhang
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Data Annotation ◽  
Learning Techniques
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