Another Fortune 500 Company to Conduct Pilot Evaluation of OneSoft--s Machine Learning Platform


Edmonton, Alberta, Feb. 07, 2018 (GLOBE NEWSWIRE) -- OneSoft Solutions Inc. (the --Company-- or --OneSoft--) (TSX-V:OSS, OTC:OSSIF)--is pleased to announce that its wholly owned subsidiary, OneBridge Solutions, Inc. (--OneBridge--), has entered into a Pilot Program agreement with another U.S.-based,...

What Can We Expect In 2018 In Mobility, AI And IIoT? - PCQuest


We are on the brink of a simmering industrial revolution where IOT sometimes feels like an alchemical sorcerer's stone that could turn anything into gold. Industrial Internet of Things or IIOT actually does have solutions to a lot of problems faced by the industry and beyond but faces its own unique challenges too. IIOT is a composite of multiple factors that bring together several connected devices including legacy systems and make them work in tandem along with smart devices that are assisted by artificial intelligence (AI). Today's technology has the potential to build a fully functional IIOT solution on an existing framework of enterprise mobility by adding more devices to an existing network of connected people and devices. Spiderman eventually learns, 'with great power comes great responsibility'.

Making the most of robotics and artificial intelligence in Europe - European Commission


Its main aim is to show the growing importance of robots and how they can improve people's work and daily lives. Robots can be used to assist and complement humans in dull, dirty or dangerous tasks like inspecting petrochemical containers and power lines, or sorting nuclear waste. In healthcare, robots and artificial intelligence (AI) can analyse patient data, improve diagnostics and support surgeons in critical interventions. Robotic fish – 'green robots' – can swim through harbours to identify chemical pollutants or leaks from oil pipelines. These are just a few examples of how new technologies can help improve our lives and environment.

Analytics and Digital Transformation Front and Center in Boston


My colleagues and I had the privilege of attending Tata Consultancy Services' (TCS) Analyst Day event held in Boston on September 21, 2017. There were several interesting and informative presentations covering topics such as the concept of Business 4.0 and how TCS is deploying Digital, deep domain expertise and its deep and vast portfolio of services and solutions to provide its customers with exponential value through mass customization, leveraging ecosystems to help its customers embrace and manage risk while maximizing business outcomes. As one of the ARC Analysts focused on upstream and midstream oil & gas it was great to learn more about how TCS is leveraging'cognitive automation' through its solutions such as Ignio, an product that provides some very powerful horsepower through its self-learning capability, empowered by machine learning and artificial intelligence (AI), that can move customers from predictive maintenance to prescriptive maintenance, thereby extending the life (and availability) of an asset such as a pump or compressor and also optimizing that asset's performance and the process for which it is being utilized. I know first-hand that TCS is successfully helping customers in Australia with pump optimization and increasing pump availability as well as, more importantly, helping to increase the customer's gas processing operations by saving over 100-man days per year, reducing pump downtime and increasing production.

Big data and machine learning for prediction of corrosion in pipelines - DNV GL - Software


We wanted to learn more about the opportunities and maturity level with technologies like big data, machine learning, artificial intelligence and the internet of things. For condition monitoring, these analytical tools can assist operators improve maintenance regimens and optimize inspection intervals by combining asset specific, industry, historical and real-time data into the data driven predictive and decision processes. "Big data" in the pipeline assessment business context includes the vast quantities of data coming from inspection devices full of sensors, such as pigs, and increasingly from embedded or remote sensors the most common which are catholic protection and corrosion coupons in addition we have a many types of asset property data, historical assessments, operational state, soils and environmental information which will exist in many formats, often unstructured such as in documents or photographs or other images. In the hackathon we taught our algorithms on previously pigged areas of pipelines where we had the inspection history to determine levels of corrosion as well as many forms of non-inspection information including those relating to pipe properties, corrosion protection history, coating type, local climate data, soil properties and previous field examination results.

How Businesses Are Using Artificial Intelligence - ForeverMogul


In other words, their artificial intelligence program pays for itself in less than 18 months. Expedia's artificial intelligence program helps users to find the cheapest rates for hotels and flights worldwide. AutoTrader uses a machine learning artificial intelligence program to improve their car valuations. Chief Digital Officer Marc Florette says that timely detection of a crack in a high-pressure gas pipeline can save the company millions of dollars.

This robot can check oil and gas pipelines to help prevent spills

Los Angeles Times

Homebuilding was down across Southern California in the first three months of 2017, but nowhere more than San Diego County, said a Real Estate Research Council report released Monday. Homebuilding was down across Southern California in the first three months of 2017, but nowhere more than San Diego County, said a Real Estate Research Council report released Monday. Homebuilding was down across Southern California in the first three months of 2017, but nowhere more than San Diego County, said a Real Estate Research Council report released Monday. Homebuilding was down across Southern California in the first three months of 2017, but nowhere more than San Diego County, said a Real Estate Research Council report released Monday.



SEE ALSO: Drones are smuggling so much contraband into prisons that the UK created a'squad' Turgeon had used a drone, which he says he later returned, to record video of Native American-led protests against the construction of the Dakota Access Pipeline, which would run through Native American land. For this, Turgeon was arrested and charged with felony and misdemeanor counts of reckless endangerment as well as a misdemeanor count of physical obstruction of a government function, according to Motherboard. At about 33 minutes into the video below, you can see what is alleged to be Turgeon's drone flying nowhere close to a North Dakota Highway Patrol plane that is also in frame. The misdemeanor reckless endangerment charge came from allegedly flying a drone above protesters, "creating a substantial risk of serious bodily injury or death."

Operator Based Machine Learning Pipeline Construction · rstats-gsoc/gsoc2017 Wiki · GitHub


The R programming language already offers a general purpose package for piping function output to new functions, magrittr. The aim of this project is to provide a similar syntax, but much more focused on machine learning and utilizing a large number of preprocessing methods that are available in other R packages. For comparison, the Python machine learning toolbox Scikit learn offers Pipeline and FeatureUnion functions to chain multiple estimators and transformer functions into one call. As stated in their documentation the main advantage is that only one call to fit and predict is required for a complete pipeline fit and it is possible to optimize jointly over the whole space of hyperparameters.

GE Wants To Be The Next Artificial Intelligence Powerhouse


When you hear the term "artificial intelligence," you may think of tech giants Amazon, Google, IBM, Microsoft, or Facebook. Industrial powerhouse General Electric is now aiming to be included on that short list. It may not have a chipper digital assistant like Cortana or Alexa. It won't sort through selfies, but it will look through X-rays. It won't recommend movies, but it will suggest how to care for a diesel locomotive.