Ethics

18 Oct Metallurgy: Science and Engineering

National Academy of Technologies of France (NATF)
2011
Metallurgy, the science of metals and the technical disciplines concerned with the production, shaping and assembling of metals, is one of the major assets of European economy. The analysis in this book is, however, strictly limited to the French situation but, with additional work, could be extended to Europe. The current state of metallurgy in France is not good. It can rapidly become catastrophic if nothing is done to remedy to it quickly. The report repositions metallurgy in its double role of a science and engineering discipline form two perspectives: of “needs” and of “opportunities”. It provides 5 key recommendations for immediate actions.
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18 Oct Slovenia Needs a New Vision for the Development of the Economy and Society (16 pages – en)

Engineering Academy of Slovenia (IAS)
2014
Slovenia is falling behind in technological development because of economic reasons as well as because technological intelligence has been left out from deciding on key questions on economic, predominantly industrial, and general society development. Slovenian Academy of Engineering has carried out consultations to point out, for the public and decision-makers, the inadequate state on different fields that are creating the present economic crisis. The position paper is focusing on the Purpose of the Initiative and Propositions of Slovenian Academy of Engineering, and is explaining propositions from first two parts of the position papers in Slovenian language. The position paper was distributed to international partner organisations of the Slovenian Academy of Engineering and other interested organisations.
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18 Oct Hans Werthén – One of Sweden’s most prominent industrialists

Royal Swedish Academy of Engineering (IVA)
2015
A pamphlet produced by the Hans Werthén Fund at IVA, 2015, 16 pp.
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18 Oct Position paper of the Committee on Bioethics PAS of 8 June 2012 on the admissibility of pre-implantation genetic diagnosis (PGD in Poland)

Polish Academy of Sciences (PAN)
2012
On the directions in legal regulations concerning the application of in vitro fertilisation and pre-implantation genetic diagnosis technologies. The position paper indicates medical and ethical aspects as well as legal regulations in force in Poland and in other countries of European Union.
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18 Oct Engineering Power – Vol. 13(2)

Croatian Academy of Engineering (HATZ)
2018
A large part of present technological achievements results from research and continuing advances in the field of artificial intelligence (AI). AI is a part of computer science that aims to create intelligent machines, capable of thinking, acting and learning like humans. It is an interdisciplinary field spanning a variety of subfields, among which machine learning (ML) and computer vision (CV) are generally regarded as core parts of AI. CV is a field that aims to give the computer visual understanding of the world from images. ML is a field of study that gives computers the ability to learn how to solve a certain task. It is particularly suited for problems that may seem relatively simple for humans, but are rather difficult to solve by using classical image processing approaches. CV and ML fields have a significant overlap where many CV problems can be solved using ML techniques. Several papers listed below present a part of CV and related ML research conducted by experts from two laboratories of the Center of Excellence for Computer Vision (CRV) at the University of Zagreb Faculty of Electrical Engineering and Computing and also by CRV collaboration researchers. The first laboratory involved is Human-oriented Technologies Laboratory (HOTLab) led by Prof. Igor S. Pandžić, Ph.D., while the second laboratory involved is Advanced Shape Reconstruction and Registration Laboratory (SHARK Lab) led by Tomislav Pribanić, Ph.D., Associate Prof. Nowadays one heavily studied ML application is certainly face analysis (FA) presented in one of the papers below. Applications of FA technologies range from marketing and entertainment to automotive industry in which, for instance, the goal is fatigue detection for vehicle driver. Another paper presented discusses two thoroughly researched CV tasks: object localization and semantic segmentation. The former attempts to find objects in the input image, where minimum bounding rectangle of the object and the associated object class are the ideal output. The latter is somewhat more detailed where each image pixel is assigned to the corresponding class label. Interesting applications can be found in traffic control systems and medical imaging. The next paper presents ML in the context of image categorization and image similarity whereby a commercial service was developed, enabling buyers of certain products to find visually similar objects of interest. The camera is the essential tool used in CV. For numerous geometry related tasks the camera requires calibration which affects many applications such as geocoding, as explained in another paper. A geometrically calibrated camera is a basis for the 3D passive and 3D active reconstruction system too. 3D scanning systems are extensively used in fashion design and development and medical applications such as human back surface analyses. The last two papers put emphasis on those two applications.
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