|
|
Line 1: |
Line 1: |
− | ==1 Title, abstract and keywords<!-- Your document should start with a concise and informative title. Titles are often used in information-retrieval systems. Avoid abbreviations and formulae where possible. Capitalize the first word of the title. | + | ==Pre-test AI and the Blockchain== |
| | | |
− | Provide a maximum of 6 keywords, and avoiding general and plural terms and multiple concepts (avoid, for example, 'and', 'of'). Be sparing with abbreviations: only abbreviations firmly established in the field should be used. These keywords will be used for indexing purposes.
| + | <quiz display=simple> |
| + | {According to the OECD, what percentage of existing jobs coulddisappear in the next15-20 years due to automation? |
| + | |type="()"} |
| + | - 50% |
| + | - 45% |
| + | - 6% |
| + | + 14% |
| | | |
− | An abstract is required for every document; it should succinctly summarize the reason for the work, the main findings, and the conclusions of the study. Abstract is often presented separately from the article, so it must be able to stand alone. For this reason, references and hyperlinks should be avoided. If references are essential, then cite the author(s) and year(s). Also, non-standard or uncommon abbreviations should be avoided, but if essential they must be defined at their first mention in the abstract itself. -->==
| |
| | | |
| + | {Find the correct definition for Big Data |
| + | |type="()"} |
| + | - Big Data is large sets of data. They don’t need specific tools to be analyzed. |
| + | + Big Data is large sets of data. They do need specific tools to be analyzed. |
| + | - Big Data is narrow and specific sets of data. They don’t need specific tools to be analyzed. |
| + | - Big Data is narrow and specific sets of data. They do need specific tools to be analyzed. |
| | | |
| | | |
| + | {What are the 5Vs of Big Data? |
| + | |type="()"} |
| + | - Volume, Velocity, Variety, Veritability, Value |
| + | + Volume, Velocity, Variety, Veracity, Value |
| + | - Volume, Velocity, Variety, Veracity, Vastness |
| + | - Volume, Virtuality, Variety, Veracity, Value |
| | | |
− | ==2 The main text<!-- You can enter and format the text of this document by selecting the ‘Edit’ option in the menu at the top of this frame or next to the title of every section of the document. This will give access to the visual editor. Alternatively, you can edit the source of this document (Wiki markup format) by selecting the ‘Edit source’ option.
| + | {What are the Critical Success Factors for the treatment of Big Data? |
| + | |type="()"} |
| + | - Organization, Vision, Technology, Data Management, Governance |
| + | - Organization, People, ICT, Data Management, Governance |
| + | + Organization, People, Technology, Data Management, Governance |
| + | - Organization, People, Technology, Data Management, C-Suits |
| | | |
− | Most of the documents in Scipedia are written in English (write your manuscript in American or British English, but not a mixture of these). Anyhow, specific publications in other languages can be published in Scipedia. In any case, the documents published in other languages must have an abstract written in English.
| + | {What are the subsets of Artificial Intelligence? |
| + | |type="()"} |
| + | + Machine Learning, Robotics, Artificial Neural Networks |
| + | - Machine Learning, Deepmind, Artificial Neural Networks |
| + | - Machine Learning, Robotics, Virtual Assistants |
| + | - Machine Learning, Virtual Reality, Artificial Neural Networks |
| | | |
| + | {What are the subsets of Machine Learning? |
| + | |type="()"} |
| + | - Supervised learning, Virtual learning, Reinforcement learning |
| + | + Supervised learning, Unsupervised learning, Reinforcement learning |
| + | - Supervised learning, Unsupervised learning, Artificial learning |
| + | - Personal learning, Unsupervised learning, Reinforcement learning |
| | | |
− | 2.1 Subsections
| + | {Choose the correct missing word: « artificial neural networks ______ the structure and functioning of the human brain |
| + | |type="()"} |
| + | - Model |
| + | - Genuine |
| + | + Mimic |
| + | - Direct |
| | | |
− | Divide your article into clearly defined and numbered sections. Subsections should be numbered 1.1, 1.2, etc. and then 1.1.1, 1.1.2, ... Use this numbering also for internal cross-referencing: do not just refer to 'the text'. Any subsection may be given a brief heading. Capitalize the first word of the headings.
| + | {Despite the appearances, which one is the oldest innovation? |
| + | |type="()"} |
| + | + Artificial Intelligence |
| + | - The Blockchain |
| | | |
| + | {Who is the inventor of the Blockchain |
| + | |type="()"} |
| + | - Don Tapscott |
| + | - Satoshi Nakamoto |
| + | - Bettina Warburg |
| + | + Is unknown |
| | | |
− | 2.2 General guidelines
| + | {What is the correct definition for the Blockchain? |
| + | |type="()"} |
| + | - Blockchain is a cryptocurrency, such as bitcoin |
| + | + Blockchain is a shared, network-based database |
| + | - Blockchain is the latest evolution of the Artificial Intelligence |
| + | - Blockchain is the latest evolution of the Deepmind |
| | | |
− | Some general guidelines that should be followed in your manuscripts are:
| + | {The Blockchain is a technology that can potentially impact any transaction, not only monetary transactions |
| + | |type="()"} |
| + | + True |
| + | - false |
| | | |
− | * Avoid hyphenation at the end of a line.
| + | {The Blockchain can substitute _____________ in assuring trust at every transaction |
| + | |type="()"} |
| + | - Banks |
| + | - Assurances |
| + | + Middleman |
| + | - Currencies |
| | | |
− | * Symbols denoting vectors and matrices should be indicated in bold type. Scalar variable names should normally be expressed using italics.
| + | {The Blockchain favors the transition from: |
| + | |type="()"} |
| + | - Internet of information – to – Internet of trust |
| + | - Internet of information – to – Internet of networks |
| + | + Internet of information – to – Internet of value |
| + | - Internet of information – to – Internet of Internet |
| | | |
− | * Use decimal points (not commas); use a space for thousands (10 000 and above).
| + | {Despite the potentiality of the Blockchain, this system is only applied in cryptocurrency, because of its difficulty of application. |
| + | |type="()"} |
| + | - True |
| + | + False |
| | | |
− | * Follow internationally accepted rules and conventions. In particular use the international system of units (SI). If other quantities are mentioned, give their equivalent in SI.
| + | </quiz> |
| | | |
− | | + | {| style="width: 100%;" |
− | 2.3 Tables, figures, lists and equations
| + | | style="text-align:left;" | [[File:Content_2022b_2080_Arrow_go_previous_blue.png|link=Content_2022b]] |
− | | + | | style="text-align:right;" | [[File:Draft_Content_706400524_6606_Arrow_go_previous_blue_next.png|link=Content_2022c]] |
− | Please insert tables as editable text and not as images. Tables should be placed next to the relevant text in the article. Number tables consecutively in accordance with their appearance in the text and place any table notes below the table body. Be sparing in the use of tables and ensure that the data presented in them do not duplicate results described elsewhere in the article.
| + | |} |
− | | + | |
− | Graphics may be inserted directly in the document and positioned as they should appear in the final manuscript.
| + | |
− | | + | |
− | Number the figures according to their sequence in the text. Ensure that each illustration has a caption. A caption should comprise a brief title. Keep text in the illustrations themselves to a minimum but explain all symbols and abbreviations used. Try to keep the resolution of the figures to a minimum of 300 dpi. If a finer resolution is required, the figure can be inserted as supplementary material
| + | |
− | | + | |
− | For tabular summations that do not deserve to be presented as a table, lists are often used. Lists may be either numbered or bulleted. Below you see examples of both.
| + | |
− | | + | |
− | 1. The first entry in this list
| + | |
− | | + | |
− | 2. The second entry
| + | |
− | | + | |
− | 2.1. A subentry
| + | |
− | | + | |
− | 3. The last entry
| + | |
− | | + | |
− | * A bulleted list item
| + | |
− | | + | |
− | * Another one
| + | |
− | | + | |
− | You may choose to number equations for easy referencing. In that case they must be numbered consecutively with Arabic numerals in parentheses on the right hand side of the page. Below is an example of formulae that should be referenced as eq. (1].
| + | |
− | | + | |
− | | + | |
− | 2.4 Supplementary material
| + | |
− | | + | |
− | Supplementary material can be inserted to support and enhance your article. This includes video material, animation sequences, background datasets, computational models, sound clips and more. In order to ensure that your material is directly usable, please provide the files with a preferred maximum size of 50 MB. Please supply a concise and descriptive caption for each file. -->==
| + | |
− | | + | |
− | | + | |
− | | + | |
− | | + | |
− | ==3 Bibliography<!-- | + | |
− | Citations in text will follow a citation-sequence system (i.e. sources are numbered by order of reference so that the first reference cited in the document is [1], the second [2], and so on) with the number of the reference in square brackets. Once a source has been cited, the same number is used in all subsequent references. If the numbers are not in a continuous sequence, use commas (with no spaces) between numbers. If you have more than two numbers in a continuous sequence, use the first and last number of the sequence joined by a hyphen
| + | |
− | | + | |
− | You should ensure that all references are cited in the text and that the reference list. References should preferably refer to documents published in Scipedia. Unpublished results should not be included in the reference list, but can be mentioned in the text. The reference data must be updated once publication is ready. Complete bibliographic information for all cited references must be given following the standards in the field (IEEE and ISO 690 standards are recommended). If possible, a hyperlink to the referenced publication should be given. See examples for Scipedia’s articles [1], other publication articles [2], books [3], book chapter [4], conference proceedings [5], and online documents [6], shown in references section below. -->==
| + | |
− | | + | |
− | | + | |
− | | + | |
− | | + | |
− | ==4 Acknowledgments<!-- Acknowledgments should be inserted at the end of the document, before the references section. -->== | + | |
− | | + | |
− | | + | |
− | | + | |
− | | + | |
− | ==5 References<!--[1] Author, A. and Author, B. (Year) Title of the article. Title of the Publication. Article code. Available: http://www.scipedia.com/ucode.
| + | |
− | | + | |
− | [2] Author, A. and Author, B. (Year) Title of the article. Title of the Publication. Volume number, first page-last page. | + | |
− | | + | |
− | [3] Author, C. (Year). Title of work: Subtitle (edition.). Volume(s). Place of publication: Publisher. | + | |
− | | + | |
− | [4] Author of Part, D. (Year). Title of chapter or part. In A. Editor & B. Editor (Eds.), Title: Subtitle of book (edition, inclusive page numbers). Place of publication: Publisher.
| + | |
− | | + | |
− | [5] Author, E. (Year, Month date). Title of the article. In A. Editor, B. Editor, and C. Editor. Title of published proceedings. Paper presented at title of conference, Volume number, first page-last page. Place of publication.
| + | |
− | | + | |
− | [6] Institution or author. Title of the document. Year. [Online] (Date consulted: day, month and year). Available: http://www.scipedia.com/document.pdf.
| + | |
− | -->==
| + | |