first_imgFigures released by the CSO today shows that the unemployment rate has remained unchanged for the past two months.The seasonally adjusted unemployment rate for March was 6.1%, unchanged from February 2018. Last month’s statistics do however show a decrease of 0.9% from March 2017.The seasonally adjusted number of persons unemployed was 144,400 in March 2018, down from 146,300 when compared to the February 2018 figure and a decrease of 19,100 when compared to March 2017. In March, the unemployment rate was 6.4% for males (83,100) and 5.6% (61,300) for females.The adjusted unemployment rate for persons aged 15-24 years (youth unemployment rate) was 12.5% in March 2018, a decrease from 12.7% in February 2018.Unemployment rate remains unchanged was last modified: April 4th, 2018 by Elaine McCalligShare this:Click to share on Facebook (Opens in new window)Click to share on Twitter (Opens in new window)Click to share on LinkedIn (Opens in new window)Click to share on Reddit (Opens in new window)Click to share on Pocket (Opens in new window)Click to share on Telegram (Opens in new window)Click to share on WhatsApp (Opens in new window)Click to share on Skype (Opens in new window)Click to print (Opens in new window) Tags:CSOrateunemploymentlast_img read more

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first_imgOff road vehicles can be driven on and off gravel or paved surfaces. These vehicles are categorized by the existence of open treads, large tires and stretchy suspension. Growing number of aftermarket conversion shops and rising attractiveness of off road racing and rallies are some predominant drivers in the market. However, some few pivotal factors hindering the growth of this market include environmental concerns and increasing number of stringent emission regulations.The Off Road Vehicle Market research report presents a comprehensive assessment of the market and contains thoughtful insights, facts, historical data and statistically-supported and industry-validated market data and projections with a suitable set of assumptions and methodology. It provides analysis and information by categories such as market segments, regions, and product type and distribution channels.Get Sample Copy of this Report @ https://www.bigmarketresearch.com/request-sample/2956619?utm_source=RK-HTNBy Market Players: Arctic Cat Inc., BRP Inc., Honda Motors. Co., Ltd., John Deere, Kawasaki Motors Corp., Kubota Corporation, Polaris Industries Inc., Suzuki Motors, Yamaha Motors Co., Ltd.The report begins with a brief introduction and market overview, in which the Off Road Vehicle industry is first defined before estimating its market scope and size. Next, the report elaborates on the market scope and market size estimation. This is followed by an overview of the market segmentations such as type, application, and region. The drivers, limitations, and opportunities are listed for the Off Road Vehicle industry, followed by industry news and policies.The report includes an analysis of the growth rate of every segment with the help of charts and tables. In addition, the market across various regions is analyzed in the report, including North America, Europe, Asia-Pacific, and LAMEA. The report manifests the growth trends and future opportunities in every region.Global Off Road Vehicle market is presented to the readers as a holistic snapshot of the competitive landscape within the given forecast period. It presents a comparative detailed analysis of the all regional and player segments, offering readers a better knowledge of where areas in which they can place their existing resources and gauging the priority of a particular region in order to boost their standing in the global market.The Global Off Road Vehicle Market is gaining pace and businesses have started understanding the benefits of analytics in the present day highly dynamic business environment. The market has witnessed several important developments over the past few years, with mounting volumes of business data and the shift from traditional data analysis platforms to self-service business analytics being some of the most prominent ones.For the future period, sound forecasts on market value and volume are offered for each type and application. In the same period, the report also provides a detailed analysis of market value and consumption for each region. These insights are helpful in devising strategies for the future and take necessary steps. New project investment feasibility analysis and SWOT analysis are offered along with insights on industry barriers. Research findings and conclusions are mentioned at the end.Reasons for Buying This Report:•It Provides A Forward-Looking Perspective on Different Factors Driving or Restraining Market Growth.•It Provides A Five-Year Forecast Assessed on The Basis of How the Market Is Predicted to Grow•It Helps in Understanding the Key Product Segments and Their Future.•It Provides Pin Point Analysis of Changing Competition Dynamics and Keeps You Ahead of Competitors.•It Helps in Making Informed Business Decisions by Having Complete Insights of Market and By Making an In-Depth Analysis of Market Segments.Inquire for Discount @ https://www.bigmarketresearch.com/request-for-discount/2956619?utm_source=RK-HTNAbout Us: Big Market Research has a range of research reports from various publishers across the world. Our database of reports of various market categories and sub-categories would help to find the exact report you may be looking for.We are instrumental in providing quantitative and qualitative insights on your area of interest by bringing reports from various publishers at one place to save your time and money. A lot of organizations across the world are gaining profits and great benefits from information gained through reports sourced by us.Contact us:Mr. Abhishek Paliwal5933 NE Win Sivers Drive, #205, Portland,OR 97220 United StatesDirect: +1-971-202-1575Toll Free: +1-800-910-6452E-mail: [email protected] Off Road Vehiclelast_img read more

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first_imgThe authors of the paper focused on five topics: safe exploration, robustness to distributional shift, avoiding negative side effects, avoiding “reward hacking” and “wireheading,” and scalable oversight.The authors also took a broad look at the problem of accidents in machine learning systems, and they defined accidents as “unintended and harmful behavior that may emerge from machine learning systems when we specify the wrong objective function, are not careful about the learning process, or commit other machine learning-related implementation errors,” according to the paper.The paper referenced a fictional robot whose job is to clean up messes in an office using common cleaning tools. It illustrated how it could behave if the designers of its machine learning system create one of the five aforementioned risks. For instance, the researchers asked, “How can we ensure that our cleaning robot will not distort the environment in negative ways while pursuing its goals?” and, “How do we ensure that the cleaning robot doesn’t make exploratory moves with bad repercussions?”To answer these questions, the researchers focused on concreteness on either reinforcement learning agents or supervised learning systems which are “not the only possible paradigms for AI or ML systems, but we believe they are sufficient to illustrate the issues we have in mind, and that similar issues are likely to arise for other kinds of AI systems,” according to the paper.According to OpenAI, many of these problems addressed in the paper are not new, but the paper explored them in the context of cutting-edge systems. The researchers hope that this will inspire more work on AI safety research, at OpenAI and elsewhere. There’s been much talk about how artificial intelligence will benefit society, but what about the potential impacts that AI has when the system is poorly designed and creates problems? This is a question several researchers and OpenAI, a non-profit artificial intelligence research company, tackled in a recent paper.The paper was written by researchers from Google Brain, Stanford University and the University of California, Berkeley, as well as John Schulman, research scientist at OpenAI. It’s titled Concrete Problems in AI Safety, and it looks at research problems around ensuring that modern machine learning systems operate as intended.Researchers have started to focus on safety research in the machine learning community, including a recent paper from DeepMind and the Future of Humanity Institute that looked at how to make sure that human interventions during the learning process would not induce a bias toward undesirable behaviors in machine learning robots. But, according to a blog post by OpenAI, many machine learning researchers are wondering just how much safety research can be done today.(Related: Machine learning is the new SOA)last_img read more

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