Re: Max Tegmark announces new Physics+AI center

2020-08-28 Thread 'Gunn Quznetsov' via Everything List
 I found a NEW PHYSICS that solves ALL your problems at the place that you 
filled up with your dubious inventions -- SUSY, WIMP, AXIONs, HIGGS etc.

Pleas, read https://vixra.org/pdf/2007.0224v1.pdf
Regards,Dr. Gunnhttps://www.youtube.com/watch?v=uvHalv2f5oM



On Wednesday, August 26, 2020, 10:14:56 PM GMT+3, Philip Thrift 
 wrote:  
 
 via Max Tegmark @tegmark
https://news.mit.edu/2020/nsf-announces-mit-led-institute-artificial-intelligence-fundamental-interactions-0826
National Science Foundation announces MIT-led Institute for Artificial 
Intelligence and Fundamental Interactions
IAIFI will advance physics knowledge — from the smallest building blocks of 
nature to the largest structures in the universe — and galvanize AI research 
innovation.
By merging research in physics and AI, the IAIFI seeks to tackle some of the 
most challenging problems in physics, including precision calculations of the 
structure of matter, gravitational-wave detection of merging black holes, and 
the extraction of new physical laws from noisy data.
“The goal of the IAIFI is to develop the next generation of AI technologies, 
based on the transformative idea that artificial intelligence can directly 
incorporate physics intelligence,” says Jesse Thaler, an associate professor of 
physics at MIT, LNS researcher, and IAIFI director.  “By fusing the ‘deep 
learning’ revolution with the time-tested strategies of ‘deep thinking’ in 
physics, we aim to gain a deeper understanding of our universe and of the 
principles underlying intelligence.”
Invoking the simple principle of translational symmetry — which in nature gives 
rise to conservation of momentum — led to dramatic improvements in image 
recognition,” says Mike Williams, an associate professor of physics at MIT, LNS 
researcher, and IAIFI deputy director. “We believe incorporating more complex 
physics principles will revolutionize how AI is used to study fundamental 
interactions, while simultaneously advancing the foundations of AI.”
Fundamental interactions are described by two pillars of modern physics: at 
short distances by the Standard Model of particle physics, and at long 
distances by the Lambda Cold Dark Matter model of Big Bang cosmology. Both 
models are based on physical first principles such as causality and space-time 
symmetries.  An abundance of experimental evidence supports these theories, but 
also exposes where they are incomplete, most pressingly that the Standard Model 
does not explain the nature of dark matter, which plays an essential role in 
cosmology.
AI has the potential to help answer these questions and others in physics.
Incorporating physics principles into AI could also have a major impact on many 
experimental applications, such as designing AI methods that are more easily 
verifiable. IAIFI researchers are working to enhance the scientific potential 
of various facilities, including the Large Hadron Collider (LHC) and the Laser 
Interferometer Gravity Wave Observatory (LIGO). 
@philipthrift

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Max Tegmark announces new Physics+AI center

2020-08-26 Thread Philip Thrift
via Max Tegmark @tegmark

https://news.mit.edu/2020/nsf-announces-mit-led-institute-artificial-intelligence-fundamental-interactions-0826

National Science Foundation announces MIT-led Institute for Artificial 
Intelligence and Fundamental Interactions

IAIFI will advance physics knowledge — from the smallest building blocks of 
nature to the largest structures in the universe — and galvanize AI 
research innovation.

By merging research in physics and AI, the IAIFI seeks to tackle some of 
the most challenging problems in physics, including precision calculations 
of the structure of matter, gravitational-wave detection of merging black 
holes, and the extraction of new physical laws from noisy data.

“The goal of the IAIFI is to develop the next generation of AI 
technologies, based on the transformative idea that artificial intelligence 
can directly incorporate physics intelligence,” says Jesse Thaler, an 
associate professor of physics at MIT, LNS researcher, and IAIFI director.  
“By fusing the ‘deep learning’ revolution with the time-tested strategies 
of ‘deep thinking’ in physics, we aim to gain a deeper understanding of our 
universe and of the principles underlying intelligence.”

Invoking the simple principle of translational symmetry — which in nature 
gives rise to conservation of momentum — led to dramatic improvements in 
image recognition,” says Mike Williams, an associate professor of physics 
at MIT, LNS researcher, and IAIFI deputy director. “We believe 
incorporating more complex physics principles will revolutionize how AI is 
used to study fundamental interactions, while simultaneously advancing the 
foundations of AI.”

Fundamental interactions are described by two pillars of modern physics: at 
short distances by the Standard Model of particle physics, and at long 
distances by the Lambda Cold Dark Matter model of Big Bang cosmology. Both 
models are based on physical first principles such as causality and 
space-time symmetries.  An abundance of experimental evidence supports 
these theories, but also exposes where they are incomplete, most pressingly 
that the Standard Model does not explain the nature of dark matter, which 
plays an essential role in cosmology.

AI has the potential to help answer these questions and others in physics.

Incorporating physics principles into AI could also have a major impact on 
many experimental applications, such as designing AI methods that are more 
easily verifiable. IAIFI researchers are working to enhance the scientific 
potential of various facilities, including the Large Hadron Collider (LHC) 
and the Laser Interferometer Gravity Wave Observatory (LIGO). 

@philipthrift

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