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Critique of 2018 Turing Award for Drs. Bengio & Hinton & LeCun


Conclusion (~1,700 words).
All backed up by over 200 references (~6,500 words).
We must stop crediting the wrong people for inventions made by others.
Instead let s heed the recent call in the journal
Nature:
Let 2020 be the year in which we value those who ensure that
science is self-correcting [SV20].
Like those who know me can testify, finding and citing original sources of scientific and technological innovations is important to me, whether they are mine or other people s [DL1][DL2][HIN][NASC1-9]. The present page is offered as a resource for computer scientists who share this inclination.
By grounding research in its true intellectual foundations and crediting the original inventors, ....

United States , Holland Library , New York , United Kingdom , British Columbia , Mountain View , San Diego , San Francisco , World University , Noord Holland , Andhra Pradesh , Baden Wüberg , Eteläuomen Läi , Brighton And Hove , University Of Colorado At Boulder , City Of , Comunidad Autonoma De Cataluna , Long Beach , Systemei Monatshefte , Technische Universit , Ivakhnenko Lapa , Sherrington Kirkpatrick , Terrence Sejnowski , Birkhaeuser Basel , Principia Mathematica , Konrad Zuse ,

The Most Recent Developments and Applications of Colorimeters


The Most Recent Developments and Applications of Colorimeters
Image Credit: maRRitch/Shutterstock.com
Smartphone-based colorimetry revolutionizes biomedical practice with artificial intelligence and brings about unprecedented paradigms with potential roles in biosensor miniaturization, acoustic imaging, and radio signaling.
Evolution of Standard Colorimetry
Colorimetry concerns the numerical description of color stimuli through objective light measurements to avoid perceptual discrepancies between observers. This considers the psychophysical correspondence between color sensation and light radiation, which involves the light source, the reflection or transmission of the light by an object, and the human eye.
Following a transition from qualitative to quantitative measurement of light, numerous scientific and industrial institutions have emerged over the last century to align and normalize dispersed approaches across the scientific disciplines o ....

Rritch Shutterstock , Cid Phdapr , Saul Mate Cid , Based Colorimetry , Machine Learning , Wearable Ubiquitous Technol , Based Medical , Neural Information Processing Systems , இயந்திரம் கற்றல் , அடிப்படையிலானது மருத்துவ , நரம்பியல் தகவல் ப்ரோஸெஸிஂக் அமைப்புகள் ,

Cameras and machine learning take pulse of remote patients


6th April 2021
11:23 am
6th April 2021
11:23 am
Telemedicine could be improved with a method that uses the camera on an electronic device to take pulse and respiration signals from a real-time video of a patient’s face. 
A UW-led team has developed a method that uses the camera on a person’s smartphone or computer to take their pulse and breathing rate from a real-time video of their face (Image: Cristina Zaragoza/Unsplash)
The advance by a University of Washington-led team was presented in December, 2020 at the Neural Information Processing Systems conference. The team is now proposing a better method to measure these physiological signals with a system less likely to be hindered by different cameras, lighting conditions or facial features. The researchers will present these findings April 8 at theACM Conference on Health, Inference, and Learning. ....

Shwetak Patel , Xin Liu , Acm Conference On Health , Allen School , Neural Information Processing Systems , Computer Science , க்ஷின் லியூ , அசிம் மாநாடு ஆன் ஆரோக்கியம் , ஆலன் பள்ளி , நரம்பியல் தகவல் ப்ரோஸெஸிஂக் அமைப்புகள் , கணினி அறிவியல் ,

Try it: Camera checks pulse and breathing via your face


A new method uses the camera on a person’s smartphone or computer to take their pulse and respiration signal from a real-time video of their face.
Telehealth has become a critical way for doctors to still provide health care while minimizing in-person contact during COVID-19.
But with phone or Zoom appointments, it’s harder for doctors to get important vital signs from a patient, such as their pulse or respiration rate, in real time.
With their new method, researchers are proposing a better system to measure these physiological signals. This system is less likely to be tripped up by different cameras, lighting conditions, or facial features, such as skin color. ....

Shwetak Patel , Xin Liu , Microsoft Research , University Of Washington , Conference On Health , Melinda Gates Foundation , Allen School , Computer Science , Neural Information Processing Systems , க்ஷின் லியூ , மைக்ரோசாஃப்ட் ஆராய்ச்சி , பல்கலைக்கழகம் ஆஃப் வாஷிங்டன் , மாநாடு ஆன் ஆரோக்கியம் , மெலிண்டா வாயில்கள் அடித்தளம் , ஆலன் பள்ளி , கணினி அறிவியல் , நரம்பியல் தகவல் ப்ரோஸெஸிஂக் அமைப்புகள் ,

Smartphone camera can help doctors measure pulse, breathing rate


Washington, April 4 (IANS) Researchers have developed a method that uses the camera on a person s smartphone or computer to take their pulse and respiration signal from a real-time video of their face.
The development comes at a time when telehealth has become a critical way for doctors to provide health care while minimising in-person contact during COVID-19.
The University of Washington-led team s system uses machine learning to capture subtle changes in how light reflects off a person s face, which is correlated with changing blood flow. Then it converts these changes into both pulse and respiration rate.
The researchers presented the system in December at the Neural Information Processing Systems conference. ....

United States , Xin Liu , Conference On Health , Association For Computing Machinery , Image Credit , Neural Information Processing Systems , Computing Machinery , ஒன்றுபட்டது மாநிலங்களில் , க்ஷின் லியூ , மாநாடு ஆன் ஆரோக்கியம் , சங்கம் க்கு கணினி இயந்திரங்கள் , படம் கடன் , நரம்பியல் தகவல் ப்ரோஸெஸிஂக் அமைப்புகள் , கணினி இயந்திரங்கள் ,