Monday, June 28, 2021

Signs, Matters, and Subliminal Perception

 


Signs, Matters, and Subliminal Perception


Janpha Thadphoothon


 In semiotics, a sign is defined as “anything that communicates a meaning that is not the sign itself to the interpreter of the sign.” In other words, it is anything representing something else, meaningful for an individual based on his or her capacity. That’s what semiotics says. In my opinion, it is a rather broad, if not a crude definition. In psychology, they have been talking about stimuli – anything that stimulates one’s perception organs. Physicists probably call it a matter. But there are tiny matters and observable ones.



A stimulus can be a picture, sound, or touch, or taste. It can even be one’s mental image or perception.

 Semioticians have not delved deeply into human physiology or how one’s body works like psychologists do. They are more interested in language or symbols.


In psychology, they even talk about the so-called ‘subliminal perception’. This refers to the moment an organism perceives an oncoming entity or matter. In Buddhism, this phenomenon is called ‘contact’ or Passa (in Pali). There are many contacts that are so feeble or subtle that one’s mind (perception capability) cannot register as being in contact. But once, it is perceived, it is often not an end in itself. That registered sensory or mental perception or entity would function as a sign, which can trigger other behavioral responses.


Masters of meditation prefer to remain silent and be fully aware of our responses to our own signs, manufacturing within.


Subliminal therapy started back in the early 1900s. One of the first methods of subliminal suggestion used was called whisper therapy, in which a patient has whispered suggestions in hopes of subconsciously induce him/her for behavior improvement.


Source: https://thecheapsoftware.com/mindzoom-subliminal-message-software-lp/?trackingid=BMZoomSublm


 

Friday, June 18, 2021

Q&A with Andrew Ng (June 10, 2021)

 

Description

Andrew Ng is VP & Chief Scientist of Baidu; Co-Chairman and Co-Founder of Coursera; and an Adjunct Professor at Stanford University. 


In 2011 he led the development of Stanford University’s main MOOC (Massive Open Online Courses) platform and also taught an online Machine Learning class to over 100,000 students, leading to the founding of Coursera. Ng’s goal is to give everyone in the world access to a great education, for free. Today, Coursera partners with some of the top universities in the world to offer high-quality online courses, and is the largest MOOC platform in the world.


Ng also works on machine learning with an emphasis on deep learning. He founded and led the “Google Brain” project which developed massive-scale deep learning algorithms. This resulted in the famous “Google cat” result, in which a massive neural network with 1 billion parameters learned from unlabeled YouTube videos to detect cats. More recently, he continues to work on deep learning and its applications to computer vision and speech, including such applications as autonomous driving.


Hi

Photo Credit: OECD



Hi


Ref


Ng, A. [OECD] Q&A with Andrew Ng (Video)

https://oecd-events.org/digital-education/onlinesession/bf38eb7e-bdc9-eb11-94b3-000d3a219024




Q&A with Ryan Baker | Digital education for a strong recovery

Associate Professor Ryan Baker of the University of Pennsylvania



" but now expanding to other ones and building intelligent tutor capacities Moocs
as a you know MOOCs um have really not taken full advantage of the
opportunities of modern technology and modern artificial intelligence "

"Often, there are videos and there are quizzes and there's a discussion forum"

"but in my course what happens is that students

do assignments where they learn to do complex programming tasks

in a system where.... as they go  ... it looks at the errors, they make"


Note:  This session will allow discussing the big questions of digital technology in education with the scientific advisor and co-author of the publication “Digital Education Outlook”, Associate Professor Ryan Baker of the University of Pennsylvania 




"Creativity is hard. Experts disagree on definitions." 

Please cite as:


 Ref: Baker, R. [EduSkills OECD]. (2021, June 16). Q&A with Ryan Baker | Digital education for a strong recovery [Video]. YouTube. https://www.youtube.com/watch?v=o8CrzGjxa1M&t=19s

Random Errors and the Event Horizon

 Random Errors and the Event Horizon Janpha Thadphoothon Some of the most profound questions in life come to us unexpectedly, often when we ...