VEX Collective/iStock(NEW YORK) — The newest class of New York City firefighters includes a group following tracks laid by their parents 18 years ago.Of the 301 probationary firefighters who graduated Tuesday from the New York City Fire Department (FDNY) training academy, 13 are children of firefighters who died at the World Trade Center on Sept. 11, 2001. Six are sons of firefighters or police officers who died of 9/11-related illnesses.“They are honoring their fallen loved ones,” Fire Commissioner Dan Nigro said. “They are continuing their family’s legacy of service and they are making all of us immensely proud.”There had never been a probationary class filled with as many children of 9/11 victims, Nigro said.“These legacies are no longer children dreaming of the careers their fathers loved and of serving in the world’s greatest fire department,” Nigro said. “Today, they fully achieved their dreams.”Copyright © 2019, ABC Radio. All rights reserved.
Comments are closed. Staff at Uniglobe Travel are to be given the opportunity to work on an exchange programme at its offices around the world. Experienced staff who have worked for Uniglobe for two years can apply for a job swap of one to three months in one of the company’s 1,140 offices. Most of the offices are in North America, but the company also has branches in 20 other countries, including Kuwait, South Africa, Germany, Switzerland, Italy, Peru and Venezuela.Report highlights health and safety risks at work A report on health and safety at work in the European Union has highlighted the risks faced by workers in all sectors of the economy, including the expanding European service economy. The report, by the European Agency for Safety and Health at Work, was carried out at the request of the European Commission. The results confirm findings of earlier studies that jobs in mining, construction, manufacturing and transport still top the list of “occupations most at risk”.Women win more opportunities in public healthFemale healthcare professionals and policy-makers promoting gender equality in public health have never had a better opportunity to make a significant contribution to the future of the EU Public Health Strategy, which is to be adopted at the end of the year, a conference heard. At the European Institute of Women’s Health conference on gender equity, held in Dublin last month, delegates agreed that a programme of gender-specific education for health professionals and educators was needed to ensure equality of and access to healthcare services across Europe.http://europa.eu.int UK labour cost rises among highest in EuropeTotal hourly labour costs in the EU rose by 3.8 per cent in the second quarter compared with 4.1 per cent in the previous quarter. Among EU countries the smallest annual rises were in the Netherlands and the biggest were in the UK and Luxembourg. In industry, hourly labour costs in the euro-zone rose by 3.3 per cent.http://europa.eu.int Previous Article Next Article International news: Uniglobe staff to work on exchange programmeOn 17 Oct 2000 in Personnel Today Related posts:No related photos.
ChallengeThe proliferation of data within the military poses a significant challenge for operators interpreting differing data sets into meaningful information upon which to make informed and timely decisions. Artificial Intelligence capabilities are developing at pace and can present opportunities through Deep Learning for operators and decision makers to interpret vast, disparate data sets concurrently.SolutionThe Defence and Security Accelerator (DASA) has funded two projects led by Montvieux, in excess of £500,000, following a DASA themed competition to find new technologies, processes and ideas to ‘Revolutionise the human information relationship for Defence’.Prediction ToolsetThe Prediction Toolset is a Deep Learning based Artificial Intelligence capability that uses current and historical information to predict the change of control on the ground, in both space and time, between opposing groups fighting within an operational theatre.This capability provides foresight to analysts and collection managers, enabling them to proactively anticipate future events on the ground, thereby enhancing the protection of forces and improving the efficiency and effectiveness of information collection.Machine Learning Analytics as a Service (MLAaaS)Preparing training datasets for Machine Learning algorithms is a resource-intensive task. In many cases, there may not be sufficient real-world examples of an object or scene to create an adequate labelled training dataset from. The impact is that automated detection tools cannot be used and analysts have to revert to manually reviewing images for important objects of interest.The MLAaaS capability uses a Generative Adversarial Network (GAN) based Artificial Intelligence approach to the generation of labelled training data for use in 3rd party imagery object detection and classification systems. The solution creates user-defined scenes within a 3D synthetic environment, then using specialised GAN techniques, refines this image to appear real, before labelling features of interest, ready for use as a training dataset in existing Machine Learning tools.This approach is able to automate the generation of realistic training datasets at scale including controllable scenes featuring objects that are infrequently observed in live data.This capability will save imagery analysts considerable time, both in preparing training datasets, but also in manually reviewing imagery, as their existing tools can now be effectively trained to recognise rare or unusual, but significantly important features and objects.Pete Webb, Managing Director at Montvieux:> With the help of DASA, we have been able to plan-back from potential commercial outcomes and identify the right industry partners to move this forward.BenefitsThe Prediction Toolset has significant applications across the Defence and National Security domain, including predicting disorder, financial fraud and aspects or organised crime funding. The technique could be successfully applied to predicting the fluctuations in finance markets (FOREX), location-based demands for good and services, predicting utility demands, or supporting improved prospecting for natural resources.Finding or generating appropriate datasets is key to all areas of Machine Learning. The MLAaaS technique could provide a rapid mechanism for generating tailored datasets for those organisations involved with the development of optical systems or analysis tools. Interestingly the technique could also be applied to the generation of training data for different domains, such as acoustic or sub-surface acoustic (sonar).MLAaaS could save many hundreds of engineering hours currently used to manually generate training data. This approach would enable organisations to more rapidly develop, test and optimise Machine Learning solution, accelerating AI-based research and development activities.Next StepMontvieux would like to further identify Prime / Tier 1 partners with whom they could inject / license the technology for exploitation within the Prime’s existing toolsets and capabilities. Montvieux is also keen to discuss the potential for the establishment of a dedicated spin-off venture, focussed on exploitation of their technology to address specific problems in non-defence market areas.ContactJohn Barrass, Chairman: [email protected]