Lifeboat Foundation: Safeguarding Humanity
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Category: business – Page 241

Why on Earth would you ever want to be less than completely healthy?

Recently, Reason of Fight Aging! pointed out psychological research revealing a certain conservatism in terms of what people consider to be the “ideal” levels of happiness, intelligence, longevity, and even health.

It probably doesn’t come as a surprise that significant numbers of people in the studies weren’t too keen on the idea of living much longer than the average (around 90 years), and even under the assumption of eternal youth, their preference didn’t go past 120 on average; after all, LEAF wouldn’t be in business if the idea of healthy life extension wasn’t so inexplicably frowned upon. What’s really flabbergasting, though, is that even health—health!—is apparently something you can have too much of; on a scale from 0 (“completely unhealthy”) to 100 (“completely healthy”), the average preference gravitated somewhere between 80 and 90. These results provide us with an occasion for reflection.

(Il)logical conclusions

It’s uncertain whether the respondents in these studies realized the bizarre yet inevitable implications of their statements. If 100 means “completely healthy” and your “ideal” level of health is only, say, 85, does that mean that, should you ever perceive that you’re about “90” healthy, you’d deliberately start looking into ways of harming your own health to get back to your ideal level? How, exactly, would being “90” healthy be too much? What would you dislike about not being a little more sick? How would you benefit from being less than completely healthy? Has there ever been, at any point in your life, a moment when you thought, “Blimey, I’m far too healthy for my own good. Time to get sick”? Do you think a point will ever come when, while sick, you’ll think, “Perfect timing—I was just concerned that I was healthier than my ideal level”?

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Monsanto’s agricultural biotechnology research and development operations that are going to Bayer are the largest in the world and include making genetically modified seeds for such crops as corn, soybeans and cotton. Corn represented almost 60 percent of Monsanto’s total seed and genomics business last year.

German conglomerate Bayer on Thursday closed its $63 billion merger with St. Louis-based agribusiness giant Monsanto and plans to drop the U.S. company’s name.

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Looking for a plastic straw to sip your soda? It’s no longer allowed in Seattle bars and restaurants.

Neither are plastic utensils in the latest push to reduce waste and prevent marine plastic pollution. Businesses that sell food or drinks won’t be allowed to offer the plastic items under a rule that went into effect Sunday.

Seattle is believed to be the first major U.S. city to ban single-use plastic straws and utensils in food service, according to Seattle Public Utilities. The eco-conscious city has been an environmental leader in the U.S., working to aggressively curb the amount of trash that goes into landfills by requiring more options that can be recycled or composted.

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Since late 2013, this band of cybercriminals has penetrated the digital inner sanctums of more than 100 banks in 40 nations, including Germany, Russia, Ukraine, and the U.S., and stolen about $1.2 billion, according to Europol, the European Union’s law enforcement agency. The string of thefts, collectively dubbed Carbanak—a mashup of a hacking program and the word “bank”—is believed to be the biggest digital bank heist ever. In a series of exclusive interviews with Bloomberg Businessweek, law enforcement officials and computer-crime experts provided revelations about their three-year pursuit of the gang and the mechanics of a caper that’s become the stuff of legend in the digital underworld.

Carbanak’s suspected ringleader is under arrest, but $1.2 billion remains missing, and his malware attacks live on.

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Recorded at “Contra Krugman: The Economic Myths of the 2016 Election”: the Mises Circle at Seattle’s historic Town Hall, on 21 May 2016.

Presidential candidates promise everything from living wages to free health care and college. Proposals about how to run whole segments of the economy are made with a straight face. The most tired and hackneyed ideas about income equality, corporate greed, creating jobs, and paying one’s fair share of taxes are trotted out. And millions of voters apparently believe it all, falling for the same promises of free stuff and prosperity from Washington.

How do political candidates get away with this nonsense, year after year and election after election? More importantly, what can we do as individuals to fight the entrenched economic illiteracy that keeps politicians in business?

Full talk, licenced under creative common: https://www.youtube.com/watch?v=h6KQY5gbEAM

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July 12th our special one-day biotech and business conference launches in New York City. This event brings together some of the leading experts in aging research and investment and promises to be an action-packed day.

For more information please visit: https://www.eventbrite.com/e/ending-age-related-diseases-inv…5733391806

Video Creator: Jason Shulkin, Motion Graphics Artist. www.jasonshulkin.com

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Behind all this is a change in the way a lot of journals make their money. Over the past decade, many have stopped selling subscriptions. Instead, they charge authors a publication fee and permit people to read the result for nothing. This “open access” business model has the advantage of increasing the dissemination of knowledge, but it also risks corrupting the knowledge thus disseminated.

WHETHER to get a promotion or merely a foot in the door, academics have long known that they must publish papers, typically the more the better. Tallying scholarly publications to evaluate their authors has been common since the invention of scientific journals in the 17th century. So, too, has the practice of journal editors asking independent, usually anonymous, experts to scrutinise manuscripts and reject those deemed flawed—a quality-control process now known as peer review. Of late, however, this habit of according importance to papers labelled as “peer reviewed” has become something of a gamble. A rising number of journals that claim to review submissions in this way do not bother to do so. Not coincidentally, this seems to be leading some academics to inflate their publication lists with papers that might not pass such scrutiny.

Experts debate how many journals falsely claim to engage in peer review. Cabells, an analytics firm in Texas, has compiled a blacklist of those which it believes are guilty. According to Kathleen Berryman, who is in charge of this list, the firm employs 65 criteria to determine whether a journal should go on it—though she is reluctant to go into details. Cabells’ list now totals around 8,700 journals, up from a bit over 4,000 a year ago. Another list, which grew to around 12,000 journals, was compiled until recently by Jeffrey Beall, a librarian at the University of Colorado. Using Mr Beall’s list, Bo-Christer Björk, an information scientist at the Hanken School of Economics, in Helsinki, estimates that the number of articles published in questionable journals has ballooned from about 53,000 a year in 2010 to more than 400,000 today. He estimates that 6% of academic papers by researchers in America appear in such journals.

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Covering roofs and walls of buildings with vegetation is a good way of reducing greenhouse gas emissions. And these green roofs and walls make cities look nicer. Toronto’s central business district adopted a policy of establishing green roofs on around half of all city buildings in 2009. Research shows this could reduce maximum city temperatures by up to 5℃.

We spent the past 12 months analysing the case for more greenery on Australian city buildings, drawing on international comparisons. We’ve shown that a mandatory policy, coupled with incentives to encourage new and retrofitted and walls, will provide environmental, social and business benefits.

These include improved air quality, energy conservation and reductions in stormwater run-off from buildings, which would decrease flash flooding. Green roofs and walls also become new habitats for biodiversity and can be pleasant spaces for social interaction in dense urban areas.

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The exponential potential of longevity technologies.

Jim Mellon became a billionaire by pouncing on a wide variety of opportunities, from the dawn of business privatization in Russia to uranium mining in Africa and real estate in Germany. But all of that might eventually look small, he says, compared to the money to be made in the next decade or so from biotechnologies that will increase human longevity well past 100.

The British investor is so enthusiastic about these technologies that he co-authored a 2017 book about them, Juvenescence: Investing in the Age of Longevity, and launched a company, Juvenescence Ltd., to capitalize on them. “Juvenescence” is a real word — it’s the state of being youthful. Says Mellon, who is 61: “I’m hoping that this stuff works on me as well as on my portfolio.”

Juvenescence Ltd., which has raised $62.5 million from Mellon and some partners, has invested in or is close to confirming investments in nine biotech companies. He won’t discuss most of them. But one of the deals was an 11 percent stake in Insilico Medicine, a company applying machine-learning techniques to drug discovery. Insilico Medicine and Mellon’s company also formed a joint venture called Juvenescence AI to investigate the therapeutic properties of specific compounds. Mellon is particularly optimistic that this venture can develop a “senolytic” drug that helps the body clear out cells that have stopped dividing and can damage other cells.

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  • There has been a 14X increase in the number of active AI startups since 2000. Crunchbase, VentureSource, and Sand Hill Econometrics were also used for completing this analysis with AI startups in Crunchbase cross-referenced to venture-backed companies in the VentureSource database. Any venture-backed companies from the Crunchbase list that were identified in the VentureSource database were included.

  • The share of jobs requiring AI skills has grown 4.5X since 2013., The growth of the share of US jobs requiring AI skills on the Indeed.com platform was calculated by first identifying AI-related jobs using titles and keywords in descriptions. Job growth is a calculated as a multiple of the share of jobs on the Indeed platform that required AI skills in the U.S. starting in January 2013. The study also calculated the growth of the share of jobs requiring AI skills on the Indeed.com platform, by country. Despite the rapid growth of the Canada and UK. AI job markets, Indeed.com reports they are respectively still 5% and 27% of the absolute size of the US AI job market.

  • Machine Learning, Deep Learning and Natural Language Processing (NLP) are the three most in-demand skills on Monster.com. Just two years ago NLP had been predicted to be the most in-demand skill for application developers creating new AI apps. In addition to skills creating AI apps, machine learning techniques, Python, Java, C++, experience with open source development environments, Spark, MATLAB, and Hadoop are the most in-demand skills. Based on an analysis of Monster.com entries as of today, the median salary is $127,000 in the U.S. for Data Scientists, Senior Data Scientists, Artificial Intelligence Consultants and Machine Learning Managers.

  • Error rates for image labeling have fallen from 28.5% to below 2.5% since 2010. AI’s inflection point for Object Detection task of the Large Scale Visual Recognition Challenge (LSVRC) Competition occurred in 2014. On this specific test, AI is now more accurate than human These findings are from the competition data from the leaderboards for each LSVRC competition hosted on the ImageNet website.

  • Global revenues from AI for enterprise applications is projected to grow from $1.62B in 2018 to $31.2B in 2025 attaining a 52.59% CAGR in the forecast period. Image recognition and tagging, patient data processing, localization and mapping, predictive maintenance, use of algorithms and machine learning to predict and thwart security threats, intelligent recruitment, and HR systems are a few of the many enterprise application use cases predicted to fuel the projected rapid growth of AI in the enterprise. Source: Statista.

  • 84% of enterprises believe investing in AI will lead to greater competitive advantages. 75% believe that AI will open up new businesses while also providing competitors new ways to gain access to their markets. 63% believe the pressure to reduce costs will require the use of AI. Source: Statista.

  • 87% of current AI adopters said they were using or considering using AI for sales forecasting and for improving e-mail marketing. 61% of all respondents said that they currently used or were planning to use AI for sales forecasting. The following graphic compares adoption rates of current AI adopters versus all respondents. Source: Statista.

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