Artificial means an asset such as a waste treatment system, wetland, channel or drain that has been constructed for a specific purpose. An artificial asset does not include an asset that has resulted from the modification of surface water environments.
Artificial fibres or filaments means fibres or filaments or the like manufactured by man from natural polymers or their derivatives. Examples are regenerated cellulosic fibres or semi-synthetic fibres;
Artificial inflation of Traffic" or "AIT" A situation where the flow of Calls to any particular number or range of numbers (including, but not limited to a Revenue Share service) exceeds the flow of Calls expected from good faith usage or commercially acceptable practice. This also includes using equipment or a service(s) that will artificially or automatically dial numbers where the resulting average Call duration is low or the average number of misdials is high;
Examples of Artificial in a sentence
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal (ISSN: 2255-2863), Salamanca, v.
Artificial respiration should begin immediately to restore breathing even if life appears to be extinct.
In: Proceedings of the AAAI Conference on Artificial Intelligence.
Artificial life maintenance, including life support machine use, where such treatment will not result in recovery or restoration of the previous state of health.
Artificial Organs—permanently attached or implanted man-made devices that replace all or part of a Diseased or nonfunctioning body organ, including but not limited to, artificial hearts and pancreases.
More Definitions of Artificial
Artificial means man-made rather than natural. Artificial Intelligence is supposed to be man-made intelligence, designed and implemented in computer software and built into artefacts such as robots or intelligent machines [3]. Historically artificial intelligence programs appeared in various disguises such as universal problem solvers [4], expert systems [5], [6] and neural networks [7].
Artificial is an adjective which is in general use in the English language. It is not a term of legal art; it is capable of bearing a variety of meanings according to the context in which it is used… Fictitious transaction is one which those
Artificial as descriptive of a transaction is, in their Lordships’ view a word of wider import. Where in a provision of a statue an ordinary English word is used, it is neither necessary nor wise for a court of construction to attempt to lay down in substitution for it, some paraphrase which would be of general application to all cases arising under the provision to be construed. Judicial exegesis should be confined to what is necessary for the decision of the particular case.’
Artificial versioning by identifying batches of data (e.g. annual), aggregating changes into releases (time-delayed!). The solution proposed by the RDA WG on Data Citation was: to cite precisely the data as it existed at certain point in time, without delaying release of new data. This solution requires the data to be time T Grant Agreement Number: 654310 ODIP II_WP2_D2.2 stamped and versioned and be able to recover these snapshots from the servers, dated and stamped. To do so you need to store the queries and not the data subsets. But this solution cannot work because the databases are dynamic, and the data change, the queries should be dynamic and this creates performance issues with the databases (processing intensive). The purpose of this session is to provide feedback to this group why this solution does not work. From the Argo experience it came out that what is needed to freeze versions of data and not keep track of the changes (you cannot re- create history but frozen it). Argo now has found another solution (Plan B). In AUS neither solution cannot work for legacy reasons, they cannot recreate any governmental database archive more than 7 years old. Perhaps frozen local copies is a solution, and one query would be enough (as we cannot restore history but we can freeze it and manage it). Storage is not a problem now neither at the future (with cloud computing). As a conclusion, the RDA WG Data Citation recommendations cannot be followed because our systems and infrastructure have been built in such way that cannot meet these criteria. Dialogue with this group should be initiated as well as a more representative participation with members outside Europe.
Artificial coma as means of therapy or a prolongation of coma due to therapeutic reasons and Coma resulting directly from alcohol or drug abuse are not covered. ليوطت وأ ج علل ةقيرطك "ةيعانطصلاا" ةبوبيغلا تلااح ىنثتسُت نع ةرشابم أشنت يتلا ةبوبيغلاو ةيج ع بابسلأ ةجيتن ةبوبيغلا . ترا دخملا وأ لوحكلا نامدا 16) Loss of Hearing عمسلا نادقف )16 Definition: The irrecoverable loss of hearing in both ears as a result of sickness or injury. Only loss of hearing where the auditory threshold is above 90 decibels is covered. No benefits will be payable if in general medical opinion a hearing aid, device, or implant could result in the partial or total restoration of hearing. ك يف هعاجرتسلا ةلباق ريغ ةقيرطب عمسلل نادقف :فيرعتلا اذإ طقف عمسلا نادقف ةيطغت متي .ةباصا وأ ضرمل ةجيتن نينذلأا اذا عفدلا ةبجاو عفانم عأ نوكت نل .ليياسيد 90 قوف عمسلا دح ةيلمع وأ ةدعاسم ةادأ مادختسا نأ امومع يبطلا عرأ لا بسح ناك .عمسلل يلك وأ يئزج عاجرتسا ىلا عدؤت نأ نكمي عرز
Artificial means manufactured;
Artificial and “Intelligence” means a “human-made thinking power”. AI is a branch of computer science that combines human intelligence with machines so that such systems or machines can think and act like humans do (but not exactly). In other words, all machine learning is AI, but not all AI is machine learning. For example, symbolic logic – rules engines, expert systems, and knowledge graphs – could all be described as AI, and none of them are machine learning. According to (Nicholson, 2022), A machine learning algorithm can be a jumble of if-then clauses, or it can be a complex mathematical model that maps raw physical data into symbolic categories. As if-then statements are explicitly programmed by humans, they are rules. If-then statements such as these are sometimes referred to as rules engines, expert systems, knowledge graphs, or symbolic artificial intelligence. Collectively, these are known as Good, Old-Fashioned AI (GOFAI). The intelligence that rules engines mimic could be that of an accountant with knowledge of the tax code in the US, we call that TurboTax. Machine learning differs from knowledge graphs and expert systems in the way that it can modify itself when exposed to new data, i.e., it requires no human intervention to make certain changes. Therefore, it is less brittle and more independent from human experts.