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The global energy industry is facing disruption as it transitions from fossils to renewables (and occasionally back again). Its challenges include balancing growing demand in developing nations with the need for sustainability, and predicting the effect of extreme weather conditions on supply and demand. Against this backdrop, GE Power – whose turbines and generators supply 30 per cent of the world's electricity – has been working on applying Big Data, machine learning and Internet of Things (IoT) technology to build an "internet of power" to replace the linear, one-way traditional model of energy delivery. Ganesh Bell – first and current Chief Data Officer at GE Power, tells me "The biggest opportunity is that, if you think about it, the electricity industry is still following a one-hundred-year-old model which our founder, Edison, helped to proliferate. "It's the generation of electrons in one source which are then transmitted in a one-way linear model.

Using Artificial Neural Networks to Predict the Quality and Performance of Oilfield Cements

AITopics Original Links

Inherent batch to batch variability, ageing and contamination are major factors contributing to variability in oilfield cement slurry performance. Of particular concern are problems encountered when a slurry is formulated with one cement sample and used with a batch having different properties. Such variability imposes a heavy burden on performance testing and is often a major factor in operational failure. We describe methods which allow the identification, characterisation and prediction of the variability of oilfield cements. Our approach involves predicting cement compositions, particle size distributions and thickening time curves from the diffuse reflectance infrared Fourier transform spectrum of neat cement powders.


Communications of the ACM

The Hardware/Hybrid Accelerated Cosmology Code (HACC) framework exploits this diverse landscape at the largest scales of problem size, obtaining high scalability and sustained performance. We demonstrate strong and weak scaling on Titan, obtaining up to 99.2% parallel efficiency, evolving 1.1 trillion particles. The rich structure of the current Universe--planets, stars, solar systems, galaxies, and yet larger collections of galaxies (clusters and filaments) all resulted from the growth of very small primordial fluctuations. Time-stepping criteria follow from a joint consideration of the force and mass resolution.20 Finally, stringent requirements on accuracy are imposed by the very small statistical errors in the observations--some observables must be computed at accuracies of a fraction of a percent.

GE Expands Predix Platform to Advance Industrial Internet Opportunities for Customers


The Digital Hydro Plant complements GE's Digital Wind Farm, Digital Power Plant for Gas and Digital Power Plant for Steam, enhancing power generation reliability, efficiency, cybersecurity and profitability – targeted to reduce maintenance costs by up to 10%, increase plant availability by as much as 1% and boost revenues by up to 3%. ACQUISITIONS OF BIT STEW SYSTEMS, WISE.IO ACCELERATE DIGITAL INDUSTRIAL TRANSFORMATION GE Digital announced it has acquired Bit Stew Systems to bring its data intelligence capabilities to Predix and other industrial solutions.'s deep machine learning expertise – combined with GE Digital's existing data science talent and massive portfolio of industrial assets – will advance GE's Digital Twin capabilities and solidify its role as a leader in industrial machine learning. This news follow GE's recent acquisition of ServiceMax, a leader in cloud-based field service management solutions, which enables GE Digital customers to immediately gain more productivity from their assets and find greater efficiency in their field service processes.

[slides] #MachineLearning and #CognitiveComputing @CloudExpo #BigData


In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today's modern wind turbines. Join @CloudExpo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 7-9, 2016 in New York City, for three days of intense'Internet of Things' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) IoT's use in Vertical Markets. The company's internationally recognized brands include among others Cloud Expo (@CloudExpo), Big Data Expo (@BigDataExpo), DevOps Summit (@DevOpsSummit), @ThingsExpo (@ThingsExpo), Containers Expo (@ContainersExpo) and Microservices Expo (@MicroservicesE). Cloud Expo, Big Data Expo and @ThingsExpo are registered trademarks of Cloud Expo, Inc., a SYS-CON Events company.

The Progress of Node.js a Year Post Node.js and io.js Merge and Where the Technology is Going


Interactive Europe's keynote presentations yesterday, Core community members shared the community's incredible, fast growth and what's next with Node.js v.7 and Node.js v8. The Node.js Core team continues to improve ES6/7 support -- not an easy task. Key features of support to be added in future releases include: Promises (making Promises compatible with Node.js debugging and making the Node.js API compatible with Promises), async await and supporting additional ES6 modules. Better Web Standards To keep up with the changing needs of the web, the Core team will be including WHATWG URL parsing -- standardizing parsing to be the same in Node.js as it is on the browser; improved HTTP 1.1 spec compliance for better input validation and enhanced security, and future support for HTTP/2.

IBM Servers with Tesla P100 GPUs, NVLink an HPC Milestone NVIDIA Blog


As a leader in server systems, IBM saw this trend coming several years ago, and partnered with us to accelerate new data center workloads. After four years of development, IBM today introduced its Power System S822LC for High Performance Computing powered by NVIDIA Tesla P100 GPUs and NVLink to facilitate high-performance analytics and enable deep learning on ever increasing mountains of data. This tight coupling of IBM and NVIDIA technology enables data to flow 5x faster than over PCIe, accelerating time to insight for many of today's most critical applications, like advanced analytics, deep learning and AI. IBM has already lined up several customers, including a large multinational corporation and a number of research organizations, including the U.S. Department of Energy's Oak Ridge National Laboratory (ORNL) and Lawrence Livermore National Laboratory (LLNL).

Smarter Advertising with Artificial Intelligence


Advertising agencies that use AI, machine learning, and image recognition are hyper-targeting consumers by learning their interests and tastes. An everyday example is Facebook's targeted ads, which use artificial intelligence to narrow target segments down in a matter of hours. For example, in May 2016 a millennial taskforce at McCann Japan developed the world's first artificial intelligence creative director, AI-CD ß. For instance, Mondelez asked a real life creative director to develop the creative direction for AI-CD ß's ad and to explain the product's benefits.

GE's PREDIX PLATFORM: Looking At The Road Ahead


All this occurring in a secure gated environment, yet allowing for external developers to design custom-built apps targeting niche vertical problems of industry makes such a data management platform ripe for adoption. GE's Predix Machine device gateway connects industrial assets to the Predix Cloud, regardless of vendor or vintage, enabling operational and historical data to be collected and analyzed. In that spirit it has offered a secure IIoT data management platform for developers to identify vertical problems and solve for their respective client spaces, and to build applications & micro-services to address them. The positive-reinforcement cycle led to the creation of support marketplaces with new entities offering specialized app-discovery solutions, advertising networks, app performance analytics, end-user market research, and more.

Machine Learning Startups Snapped Up: Big Data Roundup - InformationWeek


The company acquired Turi, an artificial intelligence (AI) and machine learning startup, in a deal reportedly worth 200 million. They include Predictive Services, a server for hosting and managing machine learning models, and Graph Create, an extensible machine learning framework which enables developers and data scientists to build and deploy intelligent applications and services. Palantir, the privately held data analytics software and consulting giant whose customers include government intelligence agencies, acquired Silk, a data visualization company. In addition, Amazon Kinesis Analytics will work with the Amazon Kinesis Firehose service, which loads real time data streams into Amazon S3 storage, the Redshift data warehouse, and Amazon Elasticsearch Service.