Energy


Silicon Valley Insider: Intellihot, using AI and NASA Technology to Provide You Hot Water - Impakter

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Have you ever been running late for work, your hand extended into your shower, cursing its name as the water slowly warms to a temperature that would allow you to enter? Well, you may be being unsympathetic to your hot water heater, because it's likely running all day and all night to keep between 40-80 gallons of water heated, so it can be ready at your command. As you ponder the inefficiency of such a system, imagine the hot water needs of a hotel or a high-rise apartment building, with hundreds of rooms and thousands of inhabitants. The founder in this week's Silicon Valley Insider, Sridhar Deivasigamani, estimates that at any point in time in the US, there could be as much as 6 billion gallons of water being kept hot for our consumption, one-sixth the size of Lake Tahoe. Intellihot, the Galesburg, IL company founded in 2009, designs and manufactures tankless water heaters, as well as monitoring devices and apps, for residential, commercial and industrial applications.


Exploiting Deep Learning for Wind Power Forecasting Based on Big Data Analytics

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Recently, power systems are facing the challenges of growing power demand, depleting fossil fuel and aggravating environmental pollution (caused by carbon emission from fossil fuel based power generation). The incorporation of alternative low carbon energy generation, i.e., Renewable Energy Sources (RESs), becomes crucial for energy systems. Effective Demand Side Management (DSM) and RES incorporation enable power systems to maintain demand, supply balance and optimize energy in an environmentally friendly manner. The wind power is a popular energy source because of its environmental and economical benefits. However, the uncertainty of wind power makes its incorporation in energy systems really difficult.


Exploiting Deep Learning for Wind Power Forecasting Based on Big Data Analytics

#artificialintelligence

Recently, power systems are facing the challenges of growing power demand, depleting fossil fuel and aggravating environmental pollution (caused by carbon emission from fossil fuel based power generation). The incorporation of alternative low carbon energy generation, i.e., Renewable Energy Sources (RESs), becomes crucial for energy systems. Effective Demand Side Management (DSM) and RES incorporation enable power systems to maintain demand, supply balance and optimize energy in an environmentally friendly manner. The wind power is a popular energy source because of its environmental and economical benefits. However, the uncertainty of wind power makes its incorporation in energy systems really difficult.


Autonomous 'Mayflower' research ship will use IBM AI tech to cross the Atlantic in 2020 – TechCrunch

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A fully autonomous ship called the "Mayflower" will make its voyage across the Atlantic Ocean next September, to mark the 400-year anniversary of the trip of the first Mayflower, which was very much not autonomous. It's a stark way to drive home just how much technology has advanced in the last four centuries, but also a key demonstration of autonomous seafaring technology, put together by marine research and exploration organization Promare and powered by IBM technology. The autonomous Mayflower will be decked out with solar panels, as well as diesel and wind turbines to provide it with its propulsion power, as it attempts the 3,220-mile journey from Plymouth in England, to Plymouth in Massachusetts in the U.S. The trip, if successful, will be among the first for full-size seafaring vessels navigating the Atlantic on their own, which Promare is hoping will open the doors to other research-focused applications of autonomous seagoing ships. To support that use case, it'll have research pods on board while it makes its trip. Three to be specific, developed by academics and researchers at the University of Plymouth, who will aim to run experiments in areas including maritime cybersecurity, sea mammal monitoring and even addressing the challenges of ocean-borne microplastics.


Three Major Technological Changes That Are Going To Redefine The Automotive Sector And Change Our Lives

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Volvo has unveiled its first fully electric vehicle, and with it, an important commitment to decarbonization. The carmaker says it will bring out a new electric model every year and reduce production of traditional combustion vehicles and hybrids, so that by 2025, half of its sales will be electric, and the other half will be a decreasing number of plug-in hybrids, with their non-electric motors produced outside the company. The launch and mass marketing of Volkswagen's ID.3, the increased manufacturing capacity of market leader, Tesla, after opening a factory in China, and the efforts of other manufacturers to quickly electrify their catalog, leaves no doubt about where the motor industry is going: the transition to electric vehicles is no longer about when, but at what speed it takes place. If you were thinking of purchasing a new vehicle with an internal combustion engine, know that you are buying obsolete technology. A strike by GM workers over a production switch to electric vehicles, which will mean smaller workforces, says it all.


More compute is not the solution for AGI

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There are different bets on how to achieve AGI (Artificial General Intelligence). It's nearly impossible to predict which path has the best probability of succeeding. The current most popular approach is to throw more {C G T}PUs at problems of intelligence. But let's look at this problem from a different angle: how evolution solves the problem of developing more sophisticated intelligent systems considering the limitations of the environment. Energy efficiency ratio -- how much energy an organism spends to gain energy versus how much energy it actually uses -- is an important factor in evolution.


Machine Learning Ex2 Solutions

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It is estimated to top. Therefore the best way to understand machine learning is to look at some example problems. Machine Learning Ex2 - Linear Regression Implementing linear regression using gradient descent in Scala based on Andrew Ng's machine learning course. In this book, you'll do exactly that. Quality Assurance in Software Testing: Prevention is better than a cure, even where it concerns software solutions. HP Elite x2 Designed for IT, loved by users. With this mind, the Machine Learning & AI For Upstream Onshore Oil & Gas 2019 purely focuses on understanding the profitable applications of Machine Learning and AI, primarily for optimizing production for onshore E&Ps, and examine how to improve operational efficiencies in drilling and completions.


AI and Climate Change: How they're connected, and what we can do about it

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The tech industry faces criticism for the significant energy used to power its computing infrastructure. In response, the major tech companies have made data centers more efficient, and worked to ensure they're powered at least in part by renewable energy. These changes are a step in the right direction, but don't come close to tackling the problem. Most large tech companies continue to rely heavily on fossil fuels, and when they do commit to efficiency goals, these are not open to public scrutiny and validation. Researchers Lotfi Belkhir and Ahmed Elmeligi estimate that the tech sector will contribute 3.0–3.6% of global greenhouse emissions by 2020, more than double what the sector produced in 2007 (Belkhir and Elmeligi, 2018).


Voices in AI – Episode 98 – A Conversation with Jerome Glenn

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Today's leading minds talk AI with host Byron Reese On this Episode of Voices in AI Byron speaks with futurist and CEO of the Millennium Project Jerome Glenn about the direction and perception of AI as well as the driving philosophical questions behind it. Listen to this episode or read the full transcript at www.VoicesinAI.com Byron Reese: This is Voices in AI brought to you by GigaOm, and I'm Byron Reese. Today my guest is Jerome Glenn. He has for 23 years been the Director and CEO of the Millennium Project.


Mass Automation and Smart Technologies Can Impact Climate Crisis Analytics Insight

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With the current levels of technology, already automating most of the human-jobs, it is most likely that people will look out for a new set of jobs by next decade. The disruptive technologies such as IoT, AR/VR, robotics, and artificial intelligence are changing the way we interact, work, and survive. These technologies can even question the role of the human through their highly automated and intelligent systems. In particular, automated innovations have the potential to impact climate change by significantly reducing greenhouse gas emissions and providing précised insights and data to reduce climate change. Currently, agriculture and automobile are the two sectors where humans have been largely replaced by automated and intelligent machines resulting in marking a considerable impression on climate conditions.