Lifeboat Foundation

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Last video: The 2023 Model Y Update Is Here — All New Features!
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The idea of artificial intelligence overthrowing humankind has been talked about for decades, and in 2021, scientists delivered their verdict on whether we’d be able to control a high-level computer super-intelligence. The answer? Almost definitely not.

The catch is that controlling a super-intelligence far beyond human comprehension would require a simulation of that super-intelligence which we can analyze (and control). But if we’re unable to comprehend it, it’s impossible to create such a simulation.

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Brian Cummings, UCI professor of physical medicine & rehabilitation and founding member of the Sue & Bill Gross Stem Cell Research Center, has received a five-year, $2.7 million grant from the California Institute for Regenerative Medicine to establish a training program that supports first-generation and underserved students pursuing careers in public health and regenerative medicine. The Creating Opportunities Through Mentorship and Partnership Across Stem Cell Science program will pair student scholars with faculty mentors. With their tuition covered and a stipend provided during their two years as scholars, the students will learn hands-on lab skills and human cell culture; be introduced to good manufacturing procedures in UCI’s new GMP facility; and earn a certificate in clinical research coordination. “COMPASS provides the opportunity for students to explore a variety of ways in which their education and research skills can be applied toward improving human health through career paths in the public and private sectors. UCI’s COMPASS scholars program will produce a cadre of well-trained individuals who are ready to contribute to the workforce,” said Cummings, who is also the School of Medicine’s associate dean for faculty development. “A parallel objective is to foster greater awareness and appreciation of diversity, equity and inclusion in trainees, mentors and other program participants.” Administered via the Sue & Bill Gross Stem Cell Research Center, the program will train 25 undergraduate and two-year college transfer students.

Increasing studies have reported the therapeutic effect of mesenchymal stem cell (MSC)-derived exosomes by which protein and miRNA are clearly characterized. However, the proteomics and miRNA profiles of exosomes derived from human embryonic stem cells (hESCs) and human-induced pluripotent stem cells (hiPSCs) remain unclear.

In this study, we isolated exosomes from hESCs, hiPSCs, and human umbilical cord mesenchymal stem cells (hUC-MSCs) via classic ultracentrifugation and a 0.22-μm filter, followed by the conservative identification. Tandem mass tag labeling and label-free relative peptide quantification together defined their proteomics. High-throughput sequencing was performed to determine miRNA profiles. Then, we conducted a bioinformatics analysis to identify the dominant biological processes and pathways modulated by exosome cargos. Finally, the western blot and RT-qPCR were performed to detect the actual loads of proteins and miRNAs in three types of exosomes.

Based on our study, the cargos from three types of exosomes contribute to sophisticated biological processes. In comparison, hESC exosomes (hESC-Exos) were superior in regulating development, metabolism, and anti-aging, and hiPSC exosomes (hiPSC-Exos) had similar biological functions as hESC-Exos, whereas hUC-MSCs exosomes (hUC-MSC-Exos) contributed more to immune regulation.

Dr Brian Kennedy on Rejuvant, human longevity trials, aging optimally and why individual response to intervention is key.

Alpha-ketoglutarate (AKG) is used by cells during growth and in healing from injuries; studies have shown it may be effective in treating osteoporosis, preventing a decline in protein synthesis, reducing frailty and, in some mammalian studies; even extending lifespan. has gone one step further, adding calcium to produce LifeAKG™, a patent-pending, highly bioavailable and ultra pure CaAKG supplement, backed by extensive research and double-blind placebo-controlled clinical trials.

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Our Machine Learning models show that there are periods where there are earthquakes magnitude ≥7 and periods without earthquakes with magnitude ≥7 in the analyzed seismic zones. In addition, our Machine Learning models predict a new seismically active phase for earthquakes magnitude ≥7 between 2040± 5and 2057 ± 5, 2024 ± 1 and 2026 ± 1, 2026 ± 2 and 2031 ± 2, 2024 ± 2 and 2029 ± 2, and 2022 ± 1 and 2028 ± 2 for the five seismic zones in United States, Mexico, South America, Japan, and Southern China-Northern India, respectively. Finally, we note that our algorithms can be further applied to perform probabilistic forecasts in any seismic zone.

Our algorithm for analyzing strong earthquakes in extensive seismic areas can also be applied to smaller or specific seismic zones where moderate historical earthquakes with magnitudes between 5 and 7 occur, as is the case of the Parkfield section of the San Andreas fault (California, United States). Our analysis shows why a moderate earthquake could never occur in 1988 ± 5 as proposed by Bakun and Lindh (1985) and why the long-awaited characteristic Parkfield earthquake occurred in 2004. Furthermore, our Bayesian model of Machine Learning adopting a periodicity of 35 years predicts that possible seismic events may occur between 2019 and 2031, with a high probability of event(s) around 2025 ± 2. The Parkfield section of the San Andreas fault is an excellent seismic laboratory for developing, testing, and demonstrating earthquake forecasts. In a few years, it will be possible to demonstrate whether our algorithm effectively forecasts strong and moderate earthquakes.

ARTIFICIAL intelligence has been concerning some of science’s top minds due to the potential that it might threaten civilization as a whole.

A group of researchers came to the frightening conclusion that super-intelligence AI may not be able to be contained, according to the Journal of Artificial Intelligence Research.

The study found that controlling a super-intelligence would be beyond human comprehension.

Ray Kurzweil explores how and when we might create human-level artificial intelligence at the January 2017 Asilomar conference organized by the Future of Life Institute.

The Beneficial AI 2017 Conference: In our sequel to the 2015 Puerto Rico AI conference, we brought together an amazing group of AI researchers from academia and industry, and thought leaders in economics, law, ethics, and philosophy for five days dedicated to beneficial AI. We hosted a two-day workshop for our grant recipients and followed that with a 2.5-day conference, in which people from various AI-related fields hashed out opportunities and challenges related to the future of AI and steps we can take to ensure that the technology is beneficial.

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Researchers have discovered a new structure of telomeric DNA, which could be key to living longer.

Researchers have discovered a new structure of telomeric DNA

DNA, or deoxyribonucleic acid, is a molecule composed of two long strands of nucleotides that coil around each other to form a double helix. It is the hereditary material in humans and almost all other organisms that carries genetic instructions for development, functioning, growth, and reproduction. Nearly every cell in a person’s body has the same DNA. Most DNA is located in the cell nucleus (where it is called nuclear DNA), but a small amount of DNA can also be found in the mitochondria (where it is called mitochondrial DNA or mtDNA).