Energy is a critical resource that powers our homes and businesses, and also supports every facet of the U.S. economy and our nation’s security. As technology advances and we become more connected, the likelihood that there will be a successful cyber or physical attack on critical infrastructure increases.
This month we recognize National Critical Infrastructure Security and Resilience Month, which is a great time to reinforce that our nation’s electric companies are working across the industry and with our government partners to protect the energy grid and ensure that customers have access to the safe and reliable energy they need. We also are focusing on strategies to mitigate the potential impact of an attack and to accelerate recovery should an incident occur.
We know that cyberattacks constantly are evolving and increasing in sophistication. As the vice president for security and preparedness at the Edison Electric Institute (EEI), the association that represents all U.S. investor-owned electric companies, I have a deep appreciation for how any threat to the energy grid endangers our communities and the national and economic security of our country.
Understanding the economic implications of changing demographics is essential for investors, said Aubrey de Grey, a biomedical gerontologist speaking at the Fiduciary Investors’ Symposium at Harvard University. De Grey, who is also the chief science officer of SENS Research Foundation, a California-based biomedical research charity, warned gathered delegates that they need to urgently position for people living much longer.
“The implications will change your outlook on the future. You need to understand and believe the actual logic of what is coming,” he said.
He noted that medical advancement has eliminated many of the problems that used to kill people when they were young. For example, better hygiene saves lives the world over. In contrast, health problems in later life are still killing many of us in an enduring ageing process. Simply defined, this sees our metabolism generate damage over the years that cause accumulative changes over time. We can only tolerate so much change; inevitably we go down hill until we die, he said. Today the majority of medical effort is concentrated on geriatric medicine and managing the consequences of this ageing process. Yet attacking the consequences of something that is accumulating is the wrong way to approach the problem.
This week at MIT, academics and industry officials compared notes, studies, and predictions about AI and the future of work. During the discussions, an insurance company executive shared details about one AI program that rolled out at his firm earlier this year. A chatbot the company introduced, the executive said, now handles 150,000 calls per month.
Later in the day, a panelist—David Fanning, founder of PBS’s Frontline—remarked that this statistic is emblematic of broader fears he saw when reporting a new Frontline documentary about AI. “People are scared,” Fanning said of the public’s AI anxiety.
Deep Knowledge Group is delighted to have supported and participated in the landmark International Longevity Policy and Governance and AI for Longevity Summits that took place on November 12th at King’s College London, which gathered an unprecedented density and diversity of speakers and panelists at the intersection of Longevity, AI, Policy and Finance. The summits were organized by Longevity International UK and the AI Longevity Consortium at King’s College London, with the strategic support of Deep Knowledge Group, Aging Analytics Agency, Ageing Research at King’s (ARK) and the Biogerontology Research Foundation. Together they managed to attract the interest of major financial corporations, insurance companies, investment banks, Pharma and Tech corporations, and representatives of international governmental bodies, organisations and embassies, as well as leading media, and featured presentations and panel discussions from top executives and directors of Prudential, Barclays Business UK, HSBC, AXA, L&G, Longevity. Capital, Longevity Vision Fund, Juvenescence, the UK Office of AI, Microsoft, NVIDIA, Babylon Health, Huawei Europe, Insilico Medicine, Longevity International UK, the Longevity AI Consortium and others.
November 14, 2019, London, UK: Deep Knowledge Group executives Dmitry Kaminksiy and Eric Kihlstrom spoke at a landmark one-day event held yesterday at King’s College London with the strategic support Deep Knowledge Group. The event united two Longevity-themed summits under the shared strategic agenda of enabling a paradigm shift from treatment to prevention and from prevention to Precision Health via the synergistic efforts of science, industry, AI, policy and governance, to enable the UK to become an international leader in Healthy Longevity.
A new study describes a novel approach for purifying rare earth metals, crucial components of technology that require environmentally-damaging mining procedures. By relying on the metal’s magnetic fields during the crystallization process, researchers were able to efficiently and selectively separate mixtures of rare earth metals.
Seventy-five of the periodic table’s 118 elements are carried in the pockets and purses of more than 100 million U.S. iPhone users every day. Some of these elements are abundant, like silicon in computer chips or aluminum for cases, but certain metals that are required for crisp displays and clear sounds are difficult to obtain. Seventeen elements known as rare earth metals are crucial components of many technologies but are not found in concentrated deposits, and, because they are more dispersed, require toxic and environmentally-damaging procedures to extract.
With the goal of developing better ways to recycle these metals, new research from the lab of Eric Schelter describes a new approach for separating mixtures of rare earth metals with the help of a magnetic field. The approach, published in Angewandte Chemie International Edition, saw a doubling in separation performance and is a starting point towards a cleaner and more circular rare earth metals economy.
Investors shouldn’t underestimate the importance of launching people into space, Morgan Stanley said in a research report released Tuesday.
The Wall Street investment bank expects communication satellites, Earth observation technology and transportation to be the economic drivers of a space economy, but investors should not underestimate human space exploration as a “critical enabler of public will.”
TABLE OF CONTENTS ————— 0:00–17:57 : Introduction (Meaning of Life) 17:58–37:45 CHAPTER 1: Longevism and Life Extension —————————————————————————————– WHY DOES AGING HAPPEN? —————————————————————————————– 37:46–54:39 CHAPTER 2 : Gerontonology and Aging a. Free Radical Theory of Aging b. Waste Accumulation Theory of Aging c. Stem Cell Theory of Aging d. DNA Damage Theory of Aging. —————————————————————————————– HOW DO WE CURE AGING? —————————————————————————————– 54:39–1:08:39 : CHAPTER 3 :The Biochemical Solution (#1) a. mitoSENS b. oncoSENS c. lysoSENS d. amyloSENS e. apoptoSENS f. repliSENS g. glycoSENS 1:08:40–2:13:12 CHAPTER 4 : The Physiological Solution (#2) a. Parabiosis and Biovampirism b. Regeneration and Stem Cells c. Lab Grown Organs and Bioprinting d. Head Transplants and Doppleganger Bodies. 2:13:12–2:33:19 CHAPTER 5 : The Genetic Solution (#3) a. TALEN genetic engineering b. Zinc-Finger gene tailoring c. CRISPR-Cas9 gene editing. —————————————————————————————– WILL WE CURE AGING GENETICALLY? —————————————————————————————– 2:33:20–2:49:58 : CHAPTER 6 : Genomics and DNA 2:49:59–3:05:48 : CHAPTER 7 : Transcriptomics and RNA 3:05:49–3:22:08 : CHAPTER 8 : Proteomics and TNA 3:22:09–3:39:38 : CHAPTER 9 : Xenobiology and XNA a. alien proteins b. alien base pairs c. alien DNA 3:39:39–3:54:58 : CHAPTER 10 : Vectors and Gene Therapy (Gene Editing #1) 3:54:59–4:14:57 : CHAPTER 11 : Synthetic Biology (Gene Editing #2) 4:14:58–4:32:14 : CHAPTER 12 : Chimeras, Rianths, and Splices (Gene Editing #3) 4:32:15–4:48:35 : CHAPTER 13 : Ouroborology and Immortal Chimeras (Gene Editing #4) 4:48:36-:5:03:52 : CHAPTER 14 : Kleptoplasty and Photosynthesis (Gene Editing #5) —————————————————————————————- HOW TO SURVIVE UNTIL AGING IS CURED —————————————————————————————- 5:03:53–5:14:27 : CHAPTER 15 : Survive to the Singularity a. the breakeven point b. longevity escape velocity c. the longevity dividend. 5:14:28–5:30:16 : CHAPTER 16 : Centennarians and Blue Zones (Survival Method #0) a. loma linda b. ikaria c. sardinia d. okinawa. 5:30:17–5:42:26 : CHAPTER 17 : Risk Aversion and Micromorts (Survival Method #1) a. micromorts b.microlives 5:42:27–5:58:18 : CHAPTER 18 : Nutraceuticals and Geroprotectors (Survival Method #2) a. rapamycin b. metformin c. selegilene d. nicotinamide riboside e. resverratrol. 5:58:19–6:12:51 : CHAPTER 19 : Caloric Restriction (Survival Method #3) a. endocrine b. epigenetic c. genetic 6:12:52–6:51:57 : CHAPTER 20 : Cryonics & Cryogenics (Survival Method #4) a. the efficacy question b. the cost question c. the resurrection question d. the identity question e. the legal question f. the catastrophe question g. the culture question. —————————————————————————————– CAN WE BE IMMORTAL WITHOUT CURING AGING? —————————————————————————————– _______________________________________________________ 6:51:58–7:04:08 : CHAPTER 21 : Genetic Immortality — Test Tube Babies 7:04:09–7:24:02 : CHAPTER 22 : Genetic Immortality — Designer Babies 7:24:03–7:41:55 : CHAPTER 23 : Genetic Immortality — Clone Babies 7:41:56–7:53:08 : CHAPTER 24 : Genetic Immortality — Artificial Wombs 7:53:08–7:53:09 CHAPTER 25 : Immortalism and Ethics a. the crime argument b. the natural argument c. the boredom argument d. the inequality argument e. the overpopulation argument f. the gerontocracy argument g. the economic argument h. EPILOGUE
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KEYWORDS :
Immortology, Athanophy, Biotechnology, Biotech, Bioviva, Alcor, Calico, Nanotechnology, Nanotech, Reverse Aging, Live Forever, Caloric Restriction, Blue Zone, Centenarian, Singularity, Nutraceuticals, Geroprotectors, Metformin, Seligiline, Rapamycin, Nikolai Fedorov, Aubrey De Grey, Immortalism, Peter Thiel, Gerontology, Telomere, Elizabeth Blackburn, Free Radicals, Oxidative Stress, SENS, Bioinformatic, Transcriptomics, Proteonomics, Genomics, CRISPR Cas9, Synthetic Biology, Craig Venter, Retrovirus, Gene Therapy, Gene Editing, Xenobiology, Epigenetics, RNAi interference, C2C2, David Sinclair, Resveratrol, Sirtuin, Gene, Kleptoplasty, Splice, Spidergoat, Rianth, Chimera, IVF, Test Tube Designer Baby, Cloning South Korea, Artificial Womb, Ectogenesis, Human Cloning, Panyotis Zavos, Stem Cell, Parabiosis, 3D Bioprinting, Regenerative Medicine, Thomas Rando, Sergio Canavero, Head Transplant, Biostasis, Cryopreservation, Cryonics, Vitrification, Extropianism.
Historically, the pharmaceutical industry has relied on economies of scale, mixing hundreds of litres of reagents in massive reaction chambers to make millions of doses of a single drug. Bio-MOD and related systems, however, cycle small amounts of chemicals through a series of thumb-sized chambers that can produce hundreds or thousands of doses of multiple drugs, all in less than 24 hours. Several teams have won support for this vision from the US military: the Defense Advanced Research Projects Agency (DARPA) has handed out more than US$15 million to support these do-it-yourself drug-makers.
Engineers are miniaturizing pharmaceutical production in the hope of making it portable and inexpensive.
Disruption of the job market and the economy from automation and the rise of artificial intelligence (AI) is one of the primary ideas animating Andrew Yang’s surprising campaign for the Democratic presidential nomination. Alone among the candidates, Yang is directly engaging with one of the central forces that will shape our futures.
A recent report from the consulting firm Deloitte found that, among more than a thousand surveyed American executives, 63 percent agreed with the statement that “to cut costs, my company wants to automate as many jobs as possible using AI,” and 36 percent already believe that job losses from AI-enabled automation should be viewed as an ethical issue. In other words, while media pundits dismiss worries about automation, executives at America’s largest companies are actively planning for it.
It may seem odd to worry about AI and automation at a time when the headline unemployment rate is below 4 percent. But it is important to remember that this metric only captures people who are actively seeking work. Consider that, in 1965, only 3 percent of American men between the ages of 25 and 54 — old enough to have completed education but too young to retire — were neither working nor actively looking for employment. Today, that number is about 11 percent.
In other words, the percentage of working-age men completely disenfranchised from employment markets has nearly tripled. The economist and former Treasury secretary Laurence Summers has estimated that, by 2050, that number could more than double again to a quarter or even a third.
