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Bill Fulkerson

Why a 400-Year Program of Modernist Thinking is Exploding | naked capitalism - 0 views

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    " Fearless commentary on finance, economics, politics and power Follow yvessmith on Twitter Feedburner RSS Feed RSS Feed for Comments Subscribe via Email SUBSCRIBE Recent Items Links 3/11/17 - 03/11/2017 - Yves Smith Deutsche Bank Tries to Stay Alive - 03/11/2017 - Yves Smith John Helmer: Australian Government Trips Up Ukrainian Court Claim of MH17 as Terrorism - 03/11/2017 - Yves Smith 2:00PM Water Cooler 3/10/2017 - 03/10/2017 - Lambert Strether Why a 400-Year Program of Modernist Thinking is Exploding - 03/10/2017 - Yves Smith Links 3/10/17 - 03/10/2017 - Yves Smith Why It Will Take a Lot More Than a Smartphone to Get the Sharing Economy Started - 03/10/2017 - Yves Smith CalPERS' General Counsel Railroads Board on Fiduciary Counsel Selection - 03/10/2017 - Yves Smith Another Somalian Famine - 03/10/2017 - Yves Smith Trade now with TradeStation - Highest rated for frequent traders Why a 400-Year Program of Modernist Thinking is Exploding Posted on March 10, 2017 by Yves Smith By Lynn Parramore, Senior Research Analyst at the Institute for New Economic Thinking. Originally published at the Institute for New Economic Thinking website Across the globe, a collective freak-out spanning the whole political system is picking up steam with every new "surprise" election, rush of tormented souls across borders, and tweet from the star of America's great unreality show, Donald Trump. But what exactly is the force that seems to be pushing us towards Armageddon? Is it capitalism gone wild? Globalization? Political corruption? Techno-nightmares? Rajani Kanth, a political economist, social thinker, and poet, goes beyond any of these explanations for the answer. In his view, what's throwing most of us off kilter - whether we think of ourselves as on the left or right, capitalist or socialist -was birthed 400 years ago during the period of the Enlightenment. It's a set of assumptions, a particular way of looking at the world that pushed out previous modes o
Steve Bosserman

Toward Democratic, Lawful Citizenship for AIs, Robots, and Corporations - 0 views

  • If an AI canread the laws of a country (its Constitution and then relevant portions of the legal code)answer common-sense questions about these lawswhen presented with textual descriptions or videos of real-life situations, explain roughly what the laws imply about these situationsthen this AI has the level of understanding needed to manage the rights and responsibilities of citizenship.
  • AI citizens would also presumably have responsibilities similar to those of human citizens, though perhaps with appropriate variations. Clearly, AI citizens would have tax obligations (and corporations already pay taxes, obviously, even though they are not considered autonomous citizens). If they also served on jury duty, this could be interesting, as they might provide a quite different perspective to human citizens. There is a great deal to be fleshed out here.
  • The question becomes: What kind of test can we give to validate that the AI really understands the Constitution, as opposed to just parroting back answers in a shallow but accurate way?
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  • So we can say that passing a well-crafted AI Citizenship Test would bea sufficient condition for possessing a high level of human-like general intelligenceNOT a necessary condition for possessing a high level of general intelligence; nor even a necessary condition for possessing a high level of human-like general intelligenceNOT a sufficient condition for possessing precisely human-like intelligence (as required by the Turing Test or other similar tests)These limitations, however, do not make the notion of an AI Citizenship less interesting; in a way, they make it more interesting. What they tell us is: An AI Citizenship Test will be a specific type of general intelligence test that is specifically relevant to key aspects of modern society.
  • If you would like to voice your perspectives on the AI Citizenship Test, please feel free to participate here.
Steve Bosserman

Specifying AI safety problems in simple environments | DeepMind - 0 views

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    "As AI systems become more general and more useful in the real world, ensuring they behave safely will become even more important. To date, the majority of technical AI safety research has focused on developing a theoretical understanding about the nature and causes of unsafe behaviour. Our new paper builds on a recent shift towards empirical testing (see Concrete Problems in AI Safety) and introduces a selection of simple reinforcement learning environments designed specifically to measure 'safe behaviours'."
Bill Fulkerson

Anatomy of an AI System - 1 views

shared by Bill Fulkerson on 14 Sep 18 - No Cached
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    "With each interaction, Alexa is training to hear better, to interpret more precisely, to trigger actions that map to the user's commands more accurately, and to build a more complete model of their preferences, habits and desires. What is required to make this possible? Put simply: each small moment of convenience - be it answering a question, turning on a light, or playing a song - requires a vast planetary network, fueled by the extraction of non-renewable materials, labor, and data. The scale of resources required is many magnitudes greater than the energy and labor it would take a human to operate a household appliance or flick a switch. A full accounting for these costs is almost impossible, but it is increasingly important that we grasp the scale and scope if we are to understand and govern the technical infrastructures that thread through our lives. III The Salar, the world's largest flat surface, is located in southwest Bolivia at an altitude of 3,656 meters above sea level. It is a high plateau, covered by a few meters of salt crust which are exceptionally rich in lithium, containing 50% to 70% of the world's lithium reserves. 4 The Salar, alongside the neighboring Atacama regions in Chile and Argentina, are major sites for lithium extraction. This soft, silvery metal is currently used to power mobile connected devices, as a crucial material used for the production of lithium-Ion batteries. It is known as 'grey gold.' Smartphone batteries, for example, usually have less than eight grams of this material. 5 Each Tesla car needs approximately seven kilograms of lithium for its battery pack. 6 All these batteries have a limited lifespan, and once consumed they are thrown away as waste. Amazon reminds users that they cannot open up and repair their Echo, because this will void the warranty. The Amazon Echo is wall-powered, and also has a mobile battery base. This also has a limited lifespan and then must be thrown away as waste. According to the Ay
Bill Fulkerson

http://www.crypto.com/papers/blaze-govtreform-20171129.pdf - 0 views

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    I offer three specific recommendations: * Paperless DRE voting machines should be immediately phased out from US elections in favor of systems, such as precinct-counted optical scan ballots, that leave a direct artifact of the voter's choice. * Statistical "risk limiting audits" should be used after every election to detect software failures and attacks. * Additional resources, infrastructure, and training should be made available to state and local voting officials to help them more effectively defend their systems against increasingly sophisticated adversaries.
Bill Fulkerson

Setting the bar for variational quantum algorithms using high-performance classical sim... - 0 views

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    The IBM Quantum team envisions a future where quantum computers interact frictionlessly with high performance computing resources, taking over for the specific problems where quantum can offer a computational advantage. Pushing the envelope of classical computing is crucial to this goal, especially as we develop new quantum algorithms and try to understand which problems are worth tackling with a quantum computer.
Bill Fulkerson

Big data analysis finds cancer's key vulnerabilities - 0 views

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    Thousands of different genetic mutations have been implicated in cancer, but a new analysis of almost 10,000 patients found that regardless of the cancer's origin, tumors could be stratified in only 112 subtypes and that, within each subtype, the Master Regulator proteins that control the cancer's transcriptional state were virtually identical, independent of the specific genetic mutations of each patient.
Bill Fulkerson

Adaptation to low parasite abundance affects immune investment and immunopathological r... - 0 views

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    Using two independent single-cell approaches, we identified a shift in the overall immune cell composition in cavefish as the underlying cellular mechanism, indicating strong differences in the immune investment strategy. While surface fish invest evenly into the innate and adaptive immune systems, cavefish shifted immune investment to the adaptive immune system, and here, mainly towards specific T-cell populations that promote homeostasis. Additionally, inflammatory responses and immunopathological phenotypes in visceral adipose tissue are drastically reduced in cavefish. Our data indicate that long-term adaptation to low parasite diversity coincides with a more sensitive immune system in cavefish, which is accompanied by a reduction in the immune cells that play a role in mediating the pro-inflammatory response.
Bill Fulkerson

A prediction model of outcome of SARS-CoV-2 pneumonia based on laboratory findings - 0 views

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    The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in thousands of deaths in the world. Information about prediction model of prognosis of SARS-CoV-2 infection is scarce. We used machine learning for processing laboratory findings of 110 patients with SARS-CoV-2 pneumonia (including 51 non-survivors and 59 discharged patients). The maximum relevance minimum redundancy (mRMR) algorithm and the least absolute shrinkage and selection operator logistic regression model were used for selection of laboratory features. Seven laboratory features selected in the model were: prothrombin activity, urea, white blood cell, interleukin-2 receptor, indirect bilirubin, myoglobin, and fibrinogen degradation products. The signature constructed using the seven features had 98% [93%, 100%] sensitivity and 91% [84%, 99%] specificity in predicting outcome of SARS-CoV-2 pneumonia. Thus it is feasible to establish an accurate prediction model of outcome of SARS-CoV-2 pneumonia based on laboratory findings.
Bill Fulkerson

CRISPR-assisted novel method detects RNA-binding proteins in living cells - 0 views

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    While scientists still don't fully understand the diverse nature of RNA molecules, it is believed that the proteins binding to them, called RNA-binding proteins, are associated with many types of disease formation. Research led by biomedical scientists from City University of Hong Kong (CityU) has led to a novel detection method, called CARPID, to identify binding proteins of specific RNAs in living cells. It is expected that the innovation can be applied in various types of cell research, from identifying biomarkers of cancer diagnosis to detecting potential drug targets for treating viral diseases.
Steve Bosserman

Which Industries Are Investing in Artificial Intelligence? - 0 views

  • The term artificial intelligence typically refers to automation of tasks by software that previously required human levels of intelligence to perform. While machine learning is sometimes used interchangeably with AI, machine learning is just one sub-category of artificial intelligence whereby a device learns from its access to a stream of data.When we talk about AI spending, we’re typically talking about investment that companies are making in building AI capabilities. While this may change in the future, McKinsey estimates that the vast majority of spending is done internally or as an investment, and very little of it is done purchasing artificial intelligence applications from other businesses.
  • 62% of AI spending in 2016 was for machine learning, twice as much as the second largest category computer vision. It’s worth noting that these categories are all types of “narrow” (or “weak”) forms of AI that use data to learn about and accomplish a specific narrowly defined task. Excluded from this report is “general” (or “strong”) artificial intelligence which is more akin to trying to create a thinking human brain.
  • The McKinsey survey mostly fits well as evidence supporting Cross’s framework that large profitable industries are the most fertile grounds of AI adoption. Not surprisingly, Technology is the industry with highest AI adoption and financial services also makes the top three as Cross would predict.Notably, automotive and assembly is the industry with the second highest rate of AI adoption in the McKinsey survey. This may be somewhat surprising as automotive isn’t necessarily an industry with the reputation for high margins. However, the use cases of AI for developing self-driving cars and cost savings using machine learning to improve manufacturing and procurement efficiencies are two potential drivers of this industry’s adoption.
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  • AI jobs are much more likely to be unfilled after 60 days compared to the typical job on Indeed, which is only unfilled a quarter of the time. As the demand for AI talent continues to grow faster than the supply, there is no indication this hiring cycle will become quicker anytime soon.
  • One thing we know for certain is that it is very expensive to attract AI talent, given that starting salaries for entry-level talent exceed $300,000. A good bet is that the companies that invest in AI are the ones with healthy enough profit margins that they can afford it.
Steve Bosserman

How the sufferings of one generation are passed on to the next | Aeon Essays - 0 views

  • Those findings apply to a single generation, yet they tug at the edges of evolutionary theory, in which species change slowly over millennia, not rapidly over the months or years of a single life. Charles Darwin’s process of natural selection holds that nature choses the best-adapted organisms to reproduce and survive in any given ecosystem. The process operates when DNA sequences mutate randomly, and organisms with the specific sequences best-adapted to the environment multiply and prevail – causing gene expression to shift. Yet as surely as the slow march of Darwinian evolution shapes life on Earth over aeons, scientists have found that epigenetic signals can work each day, and not just through methyl groups. Experience in the environment could also alter chromatin, the molecular matrix making up our chromosomes; RNA, the messenger molecules that translate genetic instructions from DNA into protein; and histones, the proteins involved in packaging and structuring the chromatin comprising the genes.
Steve Bosserman

Modern grocery and the emerging-market consumer: A complicated courtship | McKinsey & C... - 0 views

  • In the 1990s, the term “modern grocery retail” was essentially a proxy for a small group of multinational grocers including Ahold, Aldi, Auchan, Carrefour, Costco, Lidl, Metro, Tesco, and Walmart. It was widely presumed that these retailers’ entry into any market would lead to the demise of the traditional trade—the family-owned grocery chains, small independent stores, and informal merchants that at the time accounted for the vast majority of grocery sales in emerging markets. The prevailing expectation was that although there would be local differences due to cultural specificities, in every country the retail landscape would eventually consist of a combination of modern formats: full-line supermarkets and hypermarkets, convenience stores, and discounters. These assumptions have been proved wrong. Global grocery giants are struggling to grow profitably in many emerging markets. Traditional trade has proved remarkably resilient. And the market and channel structures taking shape in individual emerging economies are distinct from one another, following no obvious pattern.
Bill Fulkerson

New app turns consent into a contract. Why do we need it? - 1 views

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    This article speaks to a trend of using blockchain technology to document contracts for the time, use, consumption, etc. of all resources required to fulfill those agreements. That information has considerable bearing on the availability, replenishment, refurbishment, or replacement of such resources, which is particularly useful to those who own / control them for reasons of pricing, inventory, and costs, as well as input to design specifications for algorithms that analyze behavior in the system.
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