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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
Steve Bosserman

Mapping the Metros With the Mightiest Paychecks - CityLab - 0 views

  • In fact, some economists see location as an “asset” in and of itself. Even if living in expensive areas yields sparser real savings right now, it can be a beneficial “investment” for the future because it provides greater access to cultural benefits, educational opportunities, and jobs. In other words, a host of factors come into play when you’re evaluating the tradeoff of living in any place—and how they’re weighed depends on what we, as individuals, value.
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

The Booming Industry Emerging From Louisiana's Vanishing Coast | Fast Forward | OZY - 0 views

  • According to a 2016 study by the nonprofit Greater New Orleans, this fledgling water workforce will grow by more than 20 percent over the next 10 years, creating more than 13,600 snazzy new titles like conservation technician, civil engineer and environmental scientist that pay an average of $69,277, well above the national average salary. “Louisiana is one of the first to turn the issue of climate change from an environmental one to an existential and economic one … through the cutting-edge jobs of the future,” claims Greater New Orleans’ executive vice president and chief operating officer Robin Barnes. Which is the city’s way of putting up a NOW HIRING billboard.
  • Meanwhile, troubled coastal cities around the world are taking note, says Bren Haase, head of planning for the Coastal Protection and Restoration Authority. With a playbook in place, Louisiana already boasts a 50-year, $50 billion plan to rebuild the state’s coasts, one that’s grounded in decades of data and science; it’s also being translated into several languages, including Vietnamese, Spanish and French, for other countries to reference. Flush with billions of dollars from the settlement in the catastrophic BP oil spill, the Coastal Master Plan could hold key clues for other places facing a similar fate in the future, says Haase, including flood-risk areas like New York, London, Singapore and Kiribati. Moreover, Louisiana’s coastal restoration sector is fueling high-tech projects like artificial oyster reef creation, advanced hydrologic modeling and geosynthetics, which will help shore up the state’s defenses against behemoth hurricanes and oil spills.
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