Power Industry


Top #M2M Brand: @ThingsExpo #IoT #IIoT #AI #ML #DL #DX #SmartCities

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With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. The upcoming 20th International @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers for speaking opportunities is open.


SELF-LEARNING POWER GRIDS & IMPACT ON POWER MARKETS

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A Self-Learning Power Grid with advanced monitoring controls, centralized data processing, and advanced algorithms is the key to training and developing a Self-Learning Power Grid that will result in optimized grid operations and thus reducing costs and response times. All of this is going to be achieved with Advanced Machine Learning applications in the Power Systems Domain. Deriving meaningful analytics from disparate data sources without the right tools and technology is the challenge and this is what is being addressed by big data technologies, the application of machine learning techniques, and other learning algorithms. Now is the time to talk about integration of Modern Grid with Big Data, Machine Learning and Advance Algorithms.


David Carpenter: Purpose driven to the core

MIT News

When he first reported to MIT's Nuclear Reactor Laboratory (NRL) as an undergraduate in 2002, David Carpenter anticipated a challenging research opportunity. After 15 years at the NRL conducting research and earning degrees in nuclear science and engineering, Carpenter's appetite for scientific discovery remains sharp, as does his commitment to improving both the performance and safety of current and next-generation nuclear reactors. "The design is intrinsically safe because the fuel doesn't melt, and the salt can withstand high temperatures without requiring thick, pressurized containment buildings," he says. The challenges to designing this new kind of reactor involve finding optimal construction materials, since super-hot radioactive salt is highly corrosive.


Want to Know What's Happening in a Building? Listen in at the Breaker Box, Says Startup Verdigris

IEEE Spectrum Robotics Channel

That weekend he and Chu purchased two Kill-A-Watt meters--inexpensive plug-in devices designed to monitor the electricity use of appliances--and the two went from room to room around Chung's house, spot-checking various appliances and gadgets. He did a quick search of the literature, and, he says, stumbled on a paper by Zico Kolter explaining an experimental theory involving tracking the electricity use of multiple appliances in a home by monitoring the energy data from a smart meter. Along the way they connected with NASA, where researchers are interested in energy management systems to help develop technology for future extraterrestrial buildings, and NASA offered the company inexpensive office space along with an opportunity to use its Sustainability Base, a building designed to be as smart and green as possible using today's technology, as a testbed. These types of sensors already existed, but most operated at lower frequencies and are larger--too large to fit on every wire in the tight space inside a typical circuit breaker box.


Dr Rustam Stolkin and robots that learn: Nuclear robotics meets machine learning

Robohub

To find out more, we talked to Dr Rustam Stolkin, Royal Society Industry Fellow for Nuclear Robotics, Professor of Robotics at the University of Birmingham, and Director at A.R.M Robotics Ltd, about his work combining machine learning and robotics to create practical solutions to nuclear problems. My work focuses on developing advanced robotics technologies for nuclear decommissioning, demolishing legacy nuclear sites, and safely packaging, storing and monitoring any radiological or contaminated materials. They have an enormous diversity of scenes, materials, and objects that nuclear decommissioning robots must interact with in complex ways, such as by grasping and cutting objects. Using robots also reduces "secondary nuclear waste"; for every one container filled with actual primary nuclear waste, more than ten containers become filled with contaminated plastic suits, respirators, rubber gloves, and other "secondary waste" from human entries.


ABB And IBM Partner In Industrial Artificial Intelligence Solutions

#artificialintelligence

ABB and IBM on Tuesday announced a strategic collaboration that brings together ABB's digital offering -- ABB Ability -- with IBM Watson Internet of Things cognitive capabilities to unlock new value for customers in utilities, industry, transport and infrastructure. The first two joint industry solutions powered by ABB Ability and Watson will bring real-time cognitive insights to the factory floor and smart grids. "This powerful combination marks truly the next level of industrial technology, moving beyond current connected systems that simply gather data, to industrial operations and machines that use data to sense, analyze, optimize and take actions that drive greater uptime, speed and yield for industrial customers," said ABB CEO Ulrich Spiesshofer. These solutions will move beyond current connected systems that simply gather data, to cognitive industrial machines that use data to understand, sense, reason and take actions supporting industrial workers to help eliminate inefficient processes and redundant tasks.


ABB Teams with IBM Watson to Bring AI To Industries

#artificialintelligence

Hannover, Germany, - 25 Apr 2017: ABB and IBM (NYSE: IBM) today announced a strategic collaboration that brings together ABB's industry leading digital offering, ABB Ability TM, with IBM Watson Internet of Things cognitive capabilities to unlock new value for customers in utilities, industry, transport and infrastructure. At Hannover Messe, IBM and ABB announced a new partnership in industrial artificial intelligence that will combine the power of IBM Watson with ABB Ability, the comprehensive digital offering of ABB, to unlock new value for clients in utilities, industry, transport and infrastructure. "This powerful combination marks truly the next level of industrial technology, moving beyond current connected systems that simply gather data, to industrial operations and machines that use data to sense, analyze, optimize and take actions that drive greater uptime, speed and yield for industrial customers," said ABB CEO Ulrich Spiesshofer. These solutions will move beyond current connected systems that simply gather data, to cognitive industrial machines that use data to understand, sense, reason and take actions supporting industrial workers to help eliminate inefficient processes and redundant tasks.


ABB and IBM partner in industrial artificial intelligence solutions

#artificialintelligence

ABB and IBM (NYSE: IBM) today announced a strategic collaboration that brings together ABB's industry leading digital offering, ABB Ability, with IBM Watson Internet of Things cognitive capabilities to unlock new value for customers in utilities, industry and transport & infrastructure. The first two joint industry solutions powered by ABB Ability and Watson will bring real-time cognitive insights to the factory floor and smart grids. "This powerful combination marks truly the next level of industrial technology, moving beyond current connected systems that simply gather data, to industrial operations and machines that use data to sense, analyze, optimize and take actions that drive greater uptime, speed and yield for industrial customers," said ABB CEO Ulrich Spiesshofer. These solutions will move beyond current connected systems that simply gather data, to cognitive industrial machines that use data to understand, sense, reason and take actions supporting industrial workers to help eliminate inefficient processes and redundant tasks.


Top #M2M Brand: @ThingsExpo #IoT #IIoT #AI #ML #DL #DX #SmartCities

#artificialintelligence

With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. The upcoming 20th International @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers for speaking opportunities is open.


ABB and IBM partner in industrial artificial intelligence solutions – Automotive supply news

#artificialintelligence

ABB and IBM (NYSE: IBM) today announced a strategic collaboration that brings together ABB's industry leading digital offering, ABB Ability, with IBM Watson Internet of Things cognitive capabilities to unlock new value for customers in utilities, industry and transport & infrastructure. The first two joint industry solutions powered by ABB Ability and Watson will bring real-time cognitive insights to the factory floor and smart grids. "This powerful combination marks truly the next level of industrial technology, moving beyond current connected systems that simply gather data, to industrial operations and machines that use data to sense, analyze, optimize and take actions that drive greater uptime, speed and yield for industrial customers," said ABB CEO Ulrich Spiesshofer. These solutions will move beyond current connected systems that simply gather data, to cognitive industrial machines that use data to understand, sense, reason and take actions supporting industrial workers to help eliminate inefficient processes and redundant tasks.