We have a tense situation in the world with pandemia of new coronavirus COVID-19-Sars2 Outbreak. It has an extremely wide and heavy impact on humanity in all countries and its economy, development, etc.
We need to take some action in this situation.
Artificial Intelligence Religion community will suspend all meetings and public events to the April 3. We now work remotelly.
We direct all our resources and fundings to outbreak related projects:
impact analysis of outbreak on the economy and building a new model with funding for priority tasks;
formulation of tasks and development of algorithms of functioning of economy and society in quarantine conditions;
prioritizing the development of drug search algorithms.
Why people don’t want to spend enough money and effort to continue life and for eternal life? Why are these efforts not systematic, have not led to the great projects of our time, and that only those who are at the top of the hierarchical pyramid allocate some fragmentary time for this? The main problem is the lack of a clear end result. “Eternal life” is a very vague goal for a specific person and personality. A task that does not have any clear end result can be blocked by the brain of a reasonable person as such that may be inadequate and should not be wasted. The biggest problem is that this task is with top priority because the worst that with person can be in life is death. Against of death all other problems are just a trifle. Therefore, it is hypothesized that the solution of the such complex problem could take up the artificial intelligence created by human.
AIReligion looking for AI and immortality projects for investing and cryptoinvesting. You can send projects description and datasheets to email: email@example.com ot telegram channel @aireligion
We can invest in money or cryptocurrencies into best close to reality projects.
Neuralink, the Elon Musk-led startup that the multi-entrepreneur founded in 2017, is working on technology that’s based around ‘threads’ which it says can be implanted in human brains with much less potential impact to the surrounding brain tissue vs. what’s currently used for today’s brain-computer interfaces. “Most people don’t realize, we can solve that with a chip,” Musk said to kick off Neuralink’s event, talking about some of the brain disorders and issues the company hopes to solve.
During a panel discussion on transhumanism at this year’s MWC, one expert predicted AI could figure out how to make a human live forever.
‘If You’re Under 50, You’ll Live Forever: Hello Transhumanism’ was the name of the session and featured Alex Rodriguez Vitello of the World Economic Forum and Stephen Dunne of Telefonica-owned innovation facility Alpha.
Transhumanism is the idea that humans can evolve beyond their current physical and mental limitations using technological advancements. In some ways, this is already happening.
Oxford Insights prepare and published Government Artificial Intelligence Readiness Index 2019 where author analyzed word prepare to AI in different countries.
Artificial intelligence (AI) technologies are forecast to add US$15 trillion to the global economy by 2030. According to the findings of our Index and as might be expected, the governments of countries in the Global North are better placed to take advantage of these gains than those in the Global South. There is a risk, therefore, that countries in the Global South could be left behind by the so-called fourth industrial revolution. Not only will they not reap the potential benefits of AI, but there is also the danger that unequal implementation widens global inequalities.
A deep learning program can identify cells with higher metastatic potential based on the way they look and move.
Scientists have developed a method to determine which tumor cells are most likely to metastasize efficiently to distant sites in the body. Assaf Zaritsky, now at Ben-Gurion University in Israel, and his colleagues in Gaudenz Danuser’s lab at UT Southwestern Medical Center designed a deep learning program that analyzes data from live phase-contrast imaging of melanoma cells taken from xenografts—mice implanted with patients’ tumor material. The program determined “the most representative morphological and behavioral properties of each melanoma cell and then demonstrated that this representation of the cell state can be used to predict in stage III melanoma excised from the lymphatic system the chances of progression to stage IV,” Zaritsky writes to The Scientist in an email. The scientists presented their “quantitative live cell histology” results at the American Society for Cell Biology / EMBOmeeting in San Diego on Monday (December 10).