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	<title>021c &#187; Artificial intelligence (AI)</title>
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		<title>AI: 15 key moments in the story of artificial intelligence BBC Teach</title>
		<link>https://021c.com.br/site/?p=971</link>
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		<pubDate>Wed, 29 May 2024 09:27:06 +0000</pubDate>
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				<category><![CDATA[Artificial intelligence (AI)]]></category>

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		<description><![CDATA[The History of AI: A Timeline of Artificial Intelligence Elon Musk, Steve Wozniak and thousands more signatories urged a six-month pause on training &#8220;AI systems more powerful than GPT-4.&#8221; The University of Oxford developed an AI test called Curial to rapidly identify COVID-19 in emergency room patients. British physicist Stephen Hawking warned, &#8220;Unless we learn<p><a href="https://021c.com.br/site/?p=971" class="more-link themebutton">Read More</a></p>]]></description>
				<content:encoded><![CDATA[<h1>The History of AI: A Timeline of Artificial Intelligence</h1>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.metadialog.com/wp-content/uploads/feed_images/how-to-use-ai-in-customer-service-3-use-cases-img-4.webp" width="301px" alt="a.i. is early days"/></p>
<p>Elon Musk, Steve Wozniak and thousands more signatories urged a six-month pause on training &#8220;AI systems more powerful than GPT-4.&#8221; The University of Oxford developed an AI test called Curial to rapidly identify COVID-19 in emergency room patients. British physicist Stephen Hawking warned, &#8220;Unless we learn how to prepare for, and avoid, the potential risks, AI could be the worst event in the history of our civilization.&#8221; Jürgen Schmidhuber, Dan Claudiu Cireșan, Ueli Meier and Jonathan Masci developed the first CNN to achieve &#8220;superhuman&#8221; performance by winning the German Traffic Sign Recognition competition. Danny Hillis designed parallel computers for AI and other computational tasks, an architecture similar to modern GPUs.</p>
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<h3>CIOs’ concerns over generative AI echo those of the early days of cloud computing &#8211; TechCrunch</h3>
<p>CIOs’ concerns over generative AI echo those of the early days of cloud computing.</p>
<p>Posted: Sun, 07 Jul 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMitgFBVV95cUxPY3hQd3NndlhUbWhfNERmTXVzOFVoc2hvTk5zLTdGQTRaa2FyZG9vT1Z2NUZKLUtTRlJfMjRCRm1pU3daZHhzbGVON3dDNGhRaWRoZDJUVDFNUDI2N01PalZFdkRUQWlwN0VJdExndlNTU3dKZXhadGZlNmFjQVFuVzY3ZUZlQ25xUkRZZlF5UjBvWUFzVHlGSkcyUnJsTGljdldWQzdDOUU1Y29ZZXZwR1p0TF9xUQ?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>PROLOG was further developed by the logician Robert Kowalski, a member of the AI group at the University of Edinburgh. This language makes use of a powerful theorem-proving technique known as resolution, invented in 1963 at the U.S. Atomic Energy Commission’s Argonne National Laboratory in Illinois by the British logician Alan Robinson. PROLOG can determine whether or not a given statement follows logically from other given statements. For example, given the statements “All logicians are rational” and “Robinson is a logician,” a PROLOG program responds in the affirmative to the query “Robinson is rational? PwC firms in mainland China and Hong Kong followed the first approach in small-scale pilots that have yielded 30% time savings in systems design, 50% efficiency gains in code generation, and an 80% reduction in time spent on internal translations.</p>
<h2>Tech wrap Sep 04: Intel AI chips, Pixel 9 Pro Fold sale, Music Search, more</h2>
<p>Increasingly they are not just recommending the media we consume, but based on their capacity to generate images and texts, they are also creating the media we consume. The previous chart showed the rapid advances in the perceptive abilities of artificial intelligence. YouTube, Facebook and others use recommender systems to guide users to more content.</p>
<ul>
<li>This research led to the development of several landmark AI systems that paved the way for future AI development.</li>
<li>University of Montreal researchers published &#8220;A Neural Probabilistic Language Model,&#8221; which suggested a method to model language using feedforward neural networks.</li>
<li>But it was later discovered that the algorithm had limitations, particularly when it came to classifying complex data.</li>
<li>The chart shows how we got here by zooming into the last two decades of AI development.</li>
<li>Natural language processing (NLP) and computer vision were two areas of AI that saw significant progress in the 1990s, but they were still limited by the amount of data that was available.</li>
</ul>
<p>By identifying the pattern behind the single use case initially envisioned, the company was able to deploy similar approaches to help many more functions across the business. There’s a fascinating parallel between the excitement and anxiety generated by AI in the global business environment writ large, and in individual organizations. Although such tension, <a href="https://play.google.com/store/apps/datasafety?id=pl.edu.pg.chatpg&amp;hl=cs&amp;gl=US">Chat GPT</a> when managed effectively, can be healthy, we’ve also seen the opposite—disagreement, leading in some cases to paralysis and in others to carelessness, with large potential costs. Generative AI, especially with the help of Transformers and large language models, has the potential to revolutionise many areas, from art to writing to simulation.</p>
<p>With this in mind, earlier this year, various key figures in AI signed an open letter calling for a six-month pause in training powerful AI systems. In June 2023, the European Parliament adopted a new AI Act to regulate the use of the technology, in what will be the world&#8217;s first detailed law on artificial intelligence if EU member states approve it. These new computers enabled humanoid robots, like the NAO robot, which could do things predecessors like Shakey had found almost impossible. NAO robots used lots of the technology pioneered over the previous decade, such as learning enabled by neural networks.</p>
<p>It has been argued AI will become so powerful that humanity may irreversibly lose control of it. Artificial intelligence provides a number of tools that are useful to bad actors, such as authoritarian governments, terrorists, criminals or rogue states. In agriculture, AI has helped farmers identify areas that need irrigation, fertilization, pesticide treatments or increasing yield. AI has been used to predict the ripening time  for crops such as tomatoes, monitor soil moisture, operate agricultural robots, conduct predictive analytics, classify livestock pig call emotions, automate greenhouses, detect diseases and pests, and save water. When natural language is used to describe mathematical problems, converters transform such prompts into a formal language such as Lean to define mathematic tasks. It’s also important to consider that when organizations automate some of the more mundane work, what’s left is often the more strategic work that contributes to a greater cognitive load.</p>
<h2>AI programming languages</h2>
<p>Brooks was inspired by advances in neuroscience, which had started to explain the mysteries of human cognition. Vision, for example, needed different &#8216;modules&#8217; in the brain to work together to recognise patterns, with no central control. Brooks argued that the top-down approach of pre-programming a computer with the rules of intelligent behaviour was wrong.</p>
<p>In the worlds of AI ethics and safety, some researchers believe that bias&nbsp; – as well as other near-term problems such as surveillance misuse – are far more pressing problems than proposed future concerns such as extinction risk. An AGI would be an AI with the same flexibility of thought as a human – and&nbsp;possibly even the consciousness&nbsp;too – plus the super-abilities of a digital mind. Companies such as OpenAI and&nbsp;DeepMind&nbsp;have made it clear that&nbsp;creating AGI is their goal. OpenAI&nbsp;argues that it would &#8220;elevate humanity by increasing abundance, turbocharging the global economy, and aiding in the discovery of new scientific knowledge&#8221; and become a &#8220;great force multiplier for human ingenuity and&nbsp;creativity&#8221;.</p>
<p>Unlike ANI systems, AGI systems can learn and improve over time, and they can transfer their knowledge and skills to new situations. AGI is still in its early stages of development, and many experts believe that it’s still many years away from becoming a reality. Symbolic AI systems use logic and reasoning to solve problems, while neural network-based AI systems are inspired by the human brain and use large networks of interconnected “neurons” to process information.</p>
<p>In Pennsylvania, some voters may be able to cast absentee ballots in person at their county&#8217;s executive office starting Sept. 16, which is the date for when counties must begin processing applications for mail-in or absentee ballots. The Pennsylvania Department of State told ABC News, however, that counties might not necessarily have the ballots ready by that date. As noted in our AI strategy eBook, a sample use case is a better starting point than going “all in” with AI and trying to boil the ocean. With a specific use case identified, leaders can make technology decisions based on an immediate, real-world need rather than chasing the latest shiny AI object.</p>
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width="304px" alt="a.i. is early days"/></p>
<p>We now live in the age of “big data,” an age in which we have the capacity to collect huge sums of information too cumbersome for a person to process. The application of artificial intelligence in this regard has already been quite fruitful in several industries such as technology, banking, marketing, and entertainment. We’ve seen that even if algorithms don’t improve much, big data and massive computing simply allow artificial intelligence to learn through brute force. There may be evidence that Moore’s law is slowing down a tad, but the increase in data certainly hasn’t lost any momentum. Breakthroughs in computer science, mathematics, or neuroscience all serve as potential outs through the ceiling of Moore’s Law. Five years later, the proof of concept was initialized through Allen Newell, Cliff Shaw, and Herbert Simon’s, Logic Theorist.</p>
<p>He eventually resigned in 2023 so that he could speak more freely about the dangers of creating artificial general intelligence. The survey results show that AI high performers—that is, organizations where respondents say at least 20 percent of EBIT in 2022 was attributable to AI use—are going all in on artificial intelligence, both with gen AI and more traditional AI capabilities. These organizations that achieve significant value from AI are already using gen AI in more business functions than other organizations do, especially in product and service development and risk and supply chain management.</p>
<p>This opens up all sorts of possibilities for AI to become much more intelligent and creative. ASI refers to AI that is more intelligent than any human being, and that is capable of improving its own capabilities over time. This could lead to exponential growth in AI capabilities, far beyond what we can currently imagine. Some experts worry that ASI could pose serious risks to humanity, while others believe that it could be used for tremendous good. Symbolic AI systems were the first type of AI to be developed, and they’re still used in many applications today. They couldn’t understand that their knowledge was incomplete, which limited their ability to learn and adapt.</p>
<p>The Satan-machines rolled their eyes and flailed their arms and wings; some even had moveable horns and crowns. Nvidia announced the beta version of its Omniverse platform to create 3D models in the physical world. China&#8217;s Tianhe-2 doubled the world&#8217;s top supercomputing speed at 33.86 petaflops, retaining the title of the world&#8217;s fastest system for the third consecutive time.</p>
<p>The online survey was in the field April 11 to 21, 2023, and garnered responses from 1,684 participants representing the full range of regions, industries, company sizes, functional specialties, and tenures. Of those respondents, 913 said their organizations had adopted AI in at least one function and were asked questions about their <a href="https://chat.openai.com/">https://chat.openai.com/</a> organizations’ AI use. To adjust for differences in response rates, the data are weighted by the contribution of each respondent’s nation to global GDP. Before moving to consulting Steve led the professional services and technical pre-sales organizations in Asia Pacific for MapR, a “big data unicorn” acquired by HP Enterprise.</p>
<p>His current project employs the use of machine learning to model animal behavior. The quest for artificial intelligence (AI) began over 70 years ago, with the idea that computers would one day be able to think like us. Ambitious predictions attracted generous funding, but after a few decades there was little to show for it. Language models are being used to improve search results and make them more relevant to users. For example, language models can be used to understand the intent behind a search query and provide more useful results. However, it’s still capable of generating coherent text, and it’s been used for things like summarizing text and generating news headlines.</p>
<h2>Logic at Stanford, CMU and Edinburgh</h2>
<p>This is Turing’s stored-program concept, and implicit in it is the possibility of the machine operating on, and so modifying or improving, its own program. Until recently, the true potential of AI in life sciences was constrained by the confinement of advances within individual organizations. As we ventured into the 2010s, the AI realm experienced a surge of advancements at a blistering pace. The beginning of the decade saw a convolutional neural network setting new benchmarks in the ImageNet competition in 2012, proving that AI could potentially rival human intelligence in image recognition tasks. Generative AI is a subfield of artificial intelligence (AI) that involves creating AI systems capable of generating new data or content that is similar to data it was trained on.</p>
<p>The expected business disruption from gen AI is significant, and respondents predict meaningful changes to their workforces. They anticipate workforce cuts in certain areas and large reskilling efforts to address shifting talent needs. Yet while the use of gen AI might spur the adoption of other AI tools, we see few meaningful increases in organizations’ adoption of these technologies. The percent of organizations adopting any AI tools has held steady since 2022, and adoption remains concentrated within a small number of business functions.</p>
<p>In fact, when organizations like NASA needed the answer to specific calculations, like the trajectory of a rocket launch, they more regularly turned to human “computers” or teams of women tasked with solving those complex equations [1]. During the late 1970s and throughout the 1980s, a variety of logics and extensions of first-order logic were developed both for negation as failure in logic programming and for default reasoning more generally. In 1955, Allen Newell and future Nobel Laureate Herbert A. Simon created the &#8220;Logic Theorist&#8221;, with help from J.</p>
<p>As neural networks and machine learning algorithms became more sophisticated, they started to outperform humans at certain tasks. In 1997, a computer program called Deep Blue famously beat the world chess champion, Garry Kasparov. This was a major milestone for AI, showing that computers could outperform humans at a task that required complex reasoning and strategic thinking.</p>
<p>You can foun additiona information about <a href="https://www.rangolitech.com/ai-is-revolutionizing-customer-service-with-human-like-responses/">ai customer service</a> and artificial intelligence and NLP. Voters who have already requested an absentee ballot via mail should receive their ballots soon after Sept. 19, which is the deadline for Wisconsin clerks to send them. Organizations continue to see returns in the business areas in which they are using AI, and. they plan to increase investment in the years ahead. We see a majority of respondents reporting AI-related revenue increases within each business function using AI. And looking ahead, more than two-thirds expect their organizations to increase their AI investment over the next three years. AI high performers are expected to conduct much higher levels of reskilling than other companies are.</p>
<p>Rather than ask directly, the researcher got the AIs he tested to imagine a word game involving two characters called Tom and Jerry, each talking about cars or wires. The researcher found the same jailbreak trick could also unlock instructions for making the drug methamphetamine. We may be entering an era when people can gain a form of digital immortality – living on after their deaths as AI &#8220;ghosts&#8221;. The first wave appears to be artists and celebrities – holograms of Elvis performing at concerts, or Hollywood actors like Tom Hanks saying he expects to appear in movies after his death.</p>
<p>Since the early days of this history, some computer scientists have strived to make machines as intelligent as humans. The next timeline shows some of the notable artificial intelligence (AI) systems and describes what they were capable of. With only a fraction of its commonsense KB compiled, CYC could draw inferences that would defeat simpler systems. For example, CYC could infer, “Garcia is wet,” from the statement, “Garcia is finishing a marathon run,” by employing its rules that running a marathon entails high exertion, that people sweat at high levels of exertion, and that when something sweats, it is wet. Among the outstanding remaining problems are issues in searching and problem solving—for example, how to search the KB automatically for information that is relevant to a given problem. AI researchers call the problem of updating, searching, and otherwise manipulating a large structure of symbols in realistic amounts of time the frame problem.</p>
<p>Organizations at the forefront of generative AI adoption address six key priorities to set the stage for success. The current decade is already brimming with groundbreaking developments, taking Generative AI to uncharted territories. In 2020, the launch of GPT-3 by OpenAI opened new avenues in human-machine interactions, <a href="https://www.metadialog.com/blog/the-first-time-ai-arrives/">a.i. is early days</a> fostering richer and more nuanced engagements. The decade kicked off with reduced funding, marking the onset of the ‘AI Winter.’ However, the first National Conference on Artificial Intelligence in 1980 kept the flames of innovation burning, bringing together minds committed to the growth of AI.</p>
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" width="301px" alt="a.i. is early days"/></p>
<p>One such person was Alan Turing, a young British polymath who explored the mathematical possibility of artificial intelligence. Turing suggested that humans use available information as well as reason in order to solve problems and make decisions, so why can’t machines do the same thing? This was the logical framework of his 1950 paper, Computing Machinery and Intelligence in which he discussed how to build intelligent machines and how to test their intelligence. Transformers-based language models are a newer type of language model that are based on the transformer architecture.</p>
<h2>Our Network</h2>
<p>The goal of AGI is to create AI systems that can learn and adapt just like humans, and that can be applied to a wide range of tasks. With deep learning, AI started to make breakthroughs in areas like self-driving cars, speech recognition, and image classification. However, it was in the 20th century that the concept of artificial intelligence truly started to take off.</p>
<p>That all helps service representatives route requests and answer customer questions, boosting both productivity and employee satisfaction. By 1972, the technology landscape witnessed the arrival of Dendral, an expert system that showcases the might of rule-based systems. It laid the groundwork for AI systems endowed with expert knowledge, paving the way for machines that could not just simulate human intelligence but possess domain expertise. Before the emergence of big data, AI was limited by the amount and quality of data that was available for training and testing machine learning algorithms.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="308px" alt="a.i. is early days"/></p>
<p>The other two factors are the algorithms and the input data used for the training. The visualization shows that as training computation has increased, AI systems have become more and more powerful. The project began in 1984 under the auspices of the Microelectronics and Computer Technology Corporation, a consortium of computer, semiconductor, and electronics manufacturers. In 1995 Douglas Lenat, the CYC project director, spun off the project as Cycorp, Inc., based in Austin, Texas.</p>
<p>From this point forward, artificial intelligence would be increasingly dominated by machine learning. However, recently a new breed of machine learning called &#8220;diffusion models&#8221; have shown greater promise, often producing superior images. Essentially, they acquire their intelligence by destroying their training data with added noise, and then they learn to recover that data by reversing this process. They&#8217;re called diffusion models because this noise-based learning process echoes the way gas molecules diffuse. Today, expert systems continue to be used in various industries, and their development has led to the creation of other AI technologies, such as machine learning and natural language processing.</p>
<p>For every major technological revolution, there is a concomitant wave of new language that we all have to learn… until it becomes so familiar that we forget that we never knew it. This Appendix is based primarily on Nilsson&#8217;s book[140]&nbsp;and written from the prevalent current perspective, which focuses on data intensive methods and big data. However important, this focus has not yet shown itself to be the solution to all problems. A complete and fully balanced history of the field is beyond the scope of this document. World War Two brought together scientists from many disciplines, including the emerging fields of neuroscience and computing. One of the biggest is that it will allow AI to learn and adapt in a much more human-like way.</p>
<p>The Perceptron was seen as a major milestone in AI because it demonstrated the potential of machine learning algorithms to mimic human intelligence. It showed that machines could learn from experience and improve their performance over time, much like humans do. Unsupervised learning is a type of machine learning where an AI learns from unlabelled training data without any explicit guidance from human designers. As BBC News explains in this visual guide to AI, you can teach an AI to recognise cars by showing it a dataset with images labelled &#8220;car&#8221;. But to do so unsupervised, you&#8217;d allow it to form its own concept of what a car is, by building connections and associations itself.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="305px" alt="a.i. is early days"/></p>
<p>One of the most exciting possibilities of embodied AI is something called “continual learning.” This is the idea that AI will be able to learn and adapt on the fly, as it interacts with the world and experiences new things. It won’t be limited by static data sets or algorithms that have to be updated manually. Right now, AI is limited by the data it’s given and the algorithms it’s programmed with. But with embodied AI, it will be able to learn by interacting with the world and experiencing things firsthand.</p>
<p>In the years that followed, AI continued to make progress in many different areas. In the early 2000s, AI programs became better at language translation, image captioning, and even answering questions. And in the 2010s, we saw the rise of deep learning, a more advanced form of machine learning that allowed AI to tackle even more complex tasks. In the 1970s and 1980s, AI researchers made major advances in areas  like expert systems and natural language processing.</p>
]]></content:encoded>
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		<title>Punctuation: Quotation Marks Western Michigan University</title>
		<link>https://021c.com.br/site/?p=905</link>
		<comments>https://021c.com.br/site/?p=905#comments</comments>
		<pubDate>Tue, 19 Mar 2024 08:01:48 +0000</pubDate>
		<dc:creator><![CDATA[021c]]></dc:creator>
				<category><![CDATA[Artificial intelligence (AI)]]></category>

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		<description><![CDATA[The Chicago Manual of Style, explained University of Chicago News It is also similar to—and often used to represent—the double prime symbol. When the character is not easily available, a direct HTML equivalent is the   entity (em-space) which outputs the same fullwidth &#8220; &#8221; glyph. Quotation marks, rather than italics, are generally used for the<p><a href="https://021c.com.br/site/?p=905" class="more-link themebutton">Read More</a></p>]]></description>
				<content:encoded><![CDATA[<p>
<h1>The Chicago Manual of Style, explained University of Chicago News</h1>
</p>
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" width="304px" alt="""/></p>
<p>
<p>If the quotation is a single word or a sentence fragment, place the terminal punctuation outside the closing quotation mark. When quoting a full sentence, the end of which coincides with the end of the sentence containing it, place terminal punctuation inside the closing quotation mark. (&#8220;I knew I wanted to come to WMU when President Dunn said, &#8216;We&#8217;re committed to your success.'&#8221;) Although they are usually unnecessary, single quotation marks also can be used in headlines that contain a quote or composition title. Spanish uses angled quotation marks (comillas latinas or angulares), with no space between the quotation mark and the quoted material. In most cases, a colon works best with a complete grammatical sentence before it. When what follows the colon is also a complete sentence, start it with a capital letter, but otherwise do not capitalize after a colon except where doing so is needed for another reason, such as for a proper name.</p>
</p>
<p>
<p>The word including does not introduce a complete list; instead, use consisting of, or composed of. Reference tags (&#8230;) are used to create footnotes (also called endnotes or simply notes), as citation footnotes and sometimes explanatory notes. All reference tags should immediately follow the text to which the footnote applies, with no intervening space.[u] Apart from the exceptions listed below, references are placed after adjacent punctuation, not before. You can foun additiona information about <a href="https://www.inferse.com/854199/elevate-customer-support-with-cutting-edge-conversational-ai/">ai customer service</a> and artificial intelligence and NLP. Adjacent reference tags should have no space between them, nor should there be any between tags and inline dispute and cleanup templates.</p>
</p>
<p>
<p>Proper name marks and title marks are primarily used in textbooks and official documents in Hong Kong, Macau, and Taiwan. Early e-mail systems also used the exclamation mark as a separator character between hostnames for routing information, usually referred to as <a href="https://play.google.com/store/apps/datasafety?id=pl.edu.pg.chatpg&amp;hl=cs&amp;gl=US">Chat GPT</a>bang path&#8221; notation. The use of the exclamation mark is also needed when addressing someone and the addressing is a separate sentence. (typically at the beginning of letters, e.g. Kedves Péter! – &#8216;Dear Peter,&#8217;).[37]</p>
<p>Greetings are also typically terminated with an exclamation mark (e.g. Jó estét! – &#8216;Good evening.&#8217;). Several studies have shown that women use exclamation marks more than men do.</p>
</p>
<p>
<p>Style guidelines for still images are generally also applicable to equivalent questions regarding the use of audio and video media. Avoid addressing the reader using you or your, which sets an inappropriate tone (see also §&nbsp;Instructional and presumptuous language). Avoid writing and/or unless other constructions would be lengthy or awkward. Instead of Most had trauma and/or smoke inhalation, write simply trauma or smoke inhalation (which would normally be interpreted as an inclusive-or to imply or both); or, for emphasis or precision or both, write trauma or smoke inhalation or both.</p>
</p>
<p>
<p>Geographical or place names are the nouns used to refer to specific places and geographic features. These names often give rise to conflict, because the same places are called different things by different peoples speaking different languages. Many place names have a historical context that should be preserved, but common sense should prevail.</p>
</p>
<p>
<p>With dialogue ending a sentence, the period should stay within the quotation marks. This pertains to dialogue without parenthetical citation at the end of the sentence. As a rule, a whole publication would be italicised, whereas the titles of minor works (such as poems or short stories inside the collection) would be written with quotation marks. In Windows, if it is necessary to follow a space with a closing quotation mark when Smart Quotes is in effect, it is usually sufficient to input the character using the Alt code shown above rather than typing &#8221; or &#8216;.</p>
</p>
<p>
<p>There is no space on the internal side of quote marks, with the exception of 1⁄4 firet (≈ 1⁄4 em) space between two quotation marks when there are no other characters between them (e.g. ,„ and ’”). However, quotation marks are needed inside wikilinks when the quotation mark is part of the link, or where the linked display text includes quotation marks indicating slang, nicknames, common names, or similar usage. Per the verifiability policy, direct quotations must be accompanied by an inline citation from a reliable source that supports the material.</p>
</p>
<p>
<p>The first quotation is a complete sentence and therefore gets an initial capital</p>
<p>letter; the second is not a complete sentence and hence receives no capital. Adding more dots and squiggles to this perfectly clear sentence would do</p>
<p>absolutely nothing to improve it. Quotes indicating irony, <a href="https://chat.openai.com/">https://chat.openai.com/</a> or other special use, are sometimes called scare quotes. If such a passage is further quoted in another publication, then all of their forms have to be shifted over by one level. This is not common practice in mainstream publishing, which will generally use more precise kerning.</p>
</p>
<p>
<h2>Brackets</h2>
</p>
<p>
<p>The following is an example of TeX input which yields proper curly quotation marks. The use of English quotation marks is increasing in French and usually follows English rules, for instance in situations when the keyboard or the software context doesn&#8217;t allow the use of guillemets. The French news site L&#8217;Humanité uses straight quotation marks along with angle ones. A sentence ending in an exclamation mark is either an actual exclamation (&#8220;Wow!&#8221;, &#8220;Boo!&#8221;), a command (&#8220;Stop!&#8221;), or is intended to be astonishing in some way (&#8220;They were the footprints of a gigantic hound!&#8221;). The colon (コロン, koron) consists of two equally sized dots centered on the same vertical line.</p>
</p>
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" width="303px" alt="""/></p>
<p>
<p>It is also similar to—and often used to represent—the double prime symbol. When the character is not easily available, a direct HTML equivalent is the   entity (em-space) which outputs the same fullwidth &#8220; &#8221; glyph. Quotation marks, rather than italics, are generally used for the titles of shorter works. Whether these are single or double is again a matter of style; however, many styles, especially for poetry, prefer the use of single quotation marks.</p>
</p>
<p>
<h2>Other community standards</h2>
</p>
<p>
<p>In Polish printed books and publications, this dictionary-recommended style for guillemets (also known as »German quotes«) is used almost exclusively. In addition to being standard for second level quotes, guillemet quotes are sometimes used as first level quotes in headings and titles, but almost never for ordinary text in paragraphs. A closing quotation mark, », is added to the beginning of each new paragraph within a quotation.</p>
</p>
<p>
<ul>
<li>In vertical writing, it is placed immediately below and to the right of the last character, in a separate square if using genkō yōshi.</li>
<li>In this circumstance, British</p>
<p>usage usually favours the writing of four dots, while American usage</p>
<p>commonly prefers to write only three.</li>
<li>Some websites do not allow typographic quotation marks or apostrophes in posts.</li>
<li>Names in languages with no particular present-day or historical ties to the place in question (English excepted, of course) should not be listed as alternatives.</li>
<li>Quotation marks that are not automatically altered by computer programs are known as “dumb quotes”.</li>
</ul>
<p>
<p>Unlike page headings, table headers do not automatically generate link anchors. Aside from sentence case in glossaries, the heading advice also applies to the term entries in description lists. If using template-structured glossaries, terms will automatically have link anchors, but will not otherwise.</p>
</p>
<p>
<p>Some implementations incorrectly produce an opening single quotation mark in places where an apostrophe is required, for example, in abbreviated years like ’08 for 2008. Straight quotation marks (or italicised straight quotation marks) are often used to approximate the prime and double prime, e.g. when signifying feet and inches or arcminutes and arcseconds. For instance, 5&nbsp;feet and 6&nbsp;inches is often written 5&#8242;&nbsp;6&#8243;; and 40&nbsp;degrees, 20&nbsp;arcminutes, and 50 arcseconds is written 40°&nbsp;20&#8242;&nbsp;50&#8243;.</p>
</p>
<p>
<p>Note first that what is enclosed in quotes must</p>
<p>be the exact words of the person being quoted. Anything which is not part of</p>
<p>those exact words must be placed outside the quotes, even if, as in the last</p>
<p>example, this means using two sets of quotes because the quotation has been</p>
<p>interrupted. In Finnish and Swedish, right quotes, called citation marks, ”…”, are used to mark both the beginning and the end of a quote. Several punctuation marks have ranges of use that differ from the way they are used in English, though some functions may overlap. The first book to be printed with modern punctuation was Outline of the History of Chinese Philosophy (中國哲學史大綱) by Hu Shih, published in 1919. Traditional poetry and calligraphy maintains the punctuation-free style.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="300px" alt="""/></p>
<p>
<p>Have fun playing science, maths, history, geography and language games.</p>
</p>
<p>
<p>When a colon is being used as a separator in an article title, section heading, or list item, editors may choose whether to capitalize what follows, taking into consideration the existing practice and consistency with related articles. In the material below, the term quotation includes conventional uses of quotation marks such as for titles of songs, chapters, episodes, and so on. Quotation marks are also used in other contexts, such as in cultivar names.</p>
</p>
<p>
<p>US is a commonly used abbreviation for United States, although U.S. – with periods and without a space – remains common in North American publications, including in news journalism. Multiple American style guides, including The Chicago Manual of Style (since 2010), now deprecate &#8220;U.S.&#8221; and recommend &#8220;US&#8221;. Create redirects from alternative capitalization and spelling forms of article titles, and from alternative names, e.g., Adélie Penguin, Adelie penguin, Adelie Penguin and Pygoscelis adeliae should all redirect to Adélie penguin. The rhetorical question mark or percontation point (see Irony punctuation) was invented by Henry Denham in the 1580s and was used at the end of a rhetorical question;[24] however, it became obsolete in the 17th century. It was the reverse of an ordinary question mark, so that instead of the main opening pointing back into the sentence, it opened away from it.[24] This character can be represented using U+2E2E ⸮ REVERSED QUESTION MARK. (also known as interrogation point, query, or eroteme in journalism[1]) is a punctuation mark that indicates a question or interrogative clause or phrase in many languages.</p>
</p>
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" width="309px" alt="""/></p>
<p>
<p>Italics are not used for major religious works (the Bible, the Quran, the Talmud). For example, World Union of Billiards is good as a translation of Union Mondiale de Billard, but neither it nor the reduction WUB is used by the organization or by independent sources; use the original name and its official abbreviation, UMB. Except in special circumstances, common abbreviations (such as PhD, DNA, USSR) need not be expanded even on first use. When no English variety has been established and discussion does not resolve the issue, use the variety found in the first post-stub revision that introduced an identifiable variety. The established variety in a given article can be documented by placing the appropriate variety of English template on its talk page. For assistance with specific terms, see Comparison of American and British English §&nbsp;Vocabulary, and American and British English spelling differences; most dictionaries also indicate regional terms.</p>
</p>
<p>
<p>As a form of transcription, direct or quoted speech is spoken or written text that reports speech or thought in its original form phrased by the original speaker. In narrative, it is usually enclosed in quotation marks,[3] but it can be enclosed in guillemets («&nbsp;») in some languages. The cited speaker either is mentioned in the tag (or attribution) or is implied. Direct speech is often used as a literary device to represent someone&#8217;s point of view.</p>
</p>
<p>
<h2>Quotation mark</h2>
</p>
<p>
<p>National varieties of English (for example, American English or British English) differ in vocabulary (elevator vs. lift ), spelling (center vs. centre), and occasionally grammar (see §&nbsp;Plurals, below). Articles such as English  plurals and Comparison of American and British English provide information about such differences. These technical restrictions are necessary to avoid technical complications and are not subject to override by local consensus. Stand-alone list articles have some additional layout considerations. In the Vector 2022 skin, the table of contents is separate from the article content. In some older skins, a navigable table of contents appears automatically just after the lead if an article has at least four section headings.</p>
</p>
<p>
<p>Just make sure you stick to the same punctuation mark and don’t swap between the two. Japanese can be written horizontally or vertically, and some punctuation marks adapt to this change in direction. Parentheses, curved brackets, square quotation marks, ellipses, dashes, and swung dashes are rotated clockwise 90° when used in vertical text (see diagram). Straight quotation marks (or italicized straight quotation marks) are often used to approximate the prime and double prime.</p>
</p>
<p>
<p>If a particular romanization of the subject&#8217;s name is most common in English (Tchaikovsky, Chiang Kai-shek), that form should be used. Otherwise, the romanization of names should adhere to a particular widely used system for the language in question (Aleksandr Tymoczko, Wang Yanhong). Use gender-neutral language – avoiding the generic he, for example – if this can be done with clarity and precision. This does not apply to direct quotations or the titles of works (The Ascent of Man), which should not be altered, or to wording about one-gender contexts, such as an all-female school (When any student breaks that rule, she loses privileges). Brief quotations of copyrighted text may be used to illustrate a point, establish context, or attribute a point of view or idea. While quotations are an indispensable part of Wikipedia, try not to overuse them.</p>
</p>
<p>
<p>The symbol used as the left (typographical) quote in English is used as the right quote in Germany and Austria and a &#8220;low double comma&#8221; „ (not used in English) is used for the left quote. In English, spaces are used for interword separation as well as separation between punctuation and words. In normal Japanese writing, no spaces are left between words, except if the writing is exclusively in hiragana or katakana (or with very little kanji), in which case spaces may be required to avoid confusion. In Scrabble, an exclamation mark written after a word is used to indicate its presence in the Official Tournament and Club Word List but its absence from the Official Scrabble Players Dictionary, usually because the word has been judged offensive. The frequency and specifics of the latter use vary widely, over time and regionally.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="""/></p>
<p>
<p>Character.ai is currently free and offers unlimited messaging, although there is a subscription plan to gain access to c.ai+. AWS Global Passport puts the full scope of AWS’s resources and AWS Partner programs behind some of the most exciting software companies looking to reach new customers and accelerate their entry into international markets. The AWS Passport Program will select growing software companies and provide tailored expert guidance, resources, and strategic support to help them clear the operational hurdles of global expansion.</p>
</p>
<p>
<p>Using a breakable space of any kind often results in a quotation mark appearing alone at the beginning of a line, since the quotation mark is erroneously treated as an independent word. The logical style is to include the mark of punctuation inside the quotation marks only if the sense of the mark of punctuation is part of the quotation. Capitalization in non-English language titles varies, even over time within the same language; generally, retain the style of the original for modern works, and follow the usage in current[j] English-language reliable sources for historical works. When written in the Latin alphabet, many of these items should also be in italics, or enclosed in quotation marks.</p>
</p>
<p>
<p>In normal text, never put a space before a comma, semicolon, colon, period/full stop, question mark, or exclamation mark (even in quoted material; see §&nbsp;Typographic conformity). Use italics for the titles of works (such as books, films, television series, named exhibitions, computer games, <a href="%url%"></a> music albums, and artworks). The titles of articles, chapters, songs, episodes, storylines, research papers and other short works instead take double quotation marks. Concise opinions that are not overly emotive can often be reported with attribution instead of direct quotation.</p>
</p>
<p>
<p>EXCLAMATION MARK to allow software to deal properly with word breaks. Do not follow quoted words or fragments with commas inside the quotation marks, except where a longer quotation has been broken up and the comma is part of the full quotation. Do not place in quotation marks names of events (tailgate party, retirement reception), even if it is a unique event with a proper name (Bronco Bash). The title of a lecture is placed in quotes, the name of a lecture series is not (Sichel Lecture Series).</p>
</p>
<p>
<p>While these abbreviations are commonly used in standard English (although many English-speakers confuse the two!), more scholarly abbreviations of Latin terms such as nb or viz. Additionally, we never need to use the abbreviation, qv (quod vide), as terms that have their own articles can be pipe-linked in. If a sentence includes subsidiary material enclosed in  square or round brackets, it must still carry terminal punctuation after those brackets, regardless of any punctuation within the brackets. There should be a space after a closing bracket, except where a punctuation mark follows (though a spaced dash would still be spaced after a closing bracket) and in unusual cases similar to those listed for opening brackets.</p>
</p>
<p>
<p>Editors use &#8220;invisible&#8221; comments&nbsp;– not shown in the rendered page seen by readers of the article, but visible in the source editing mode when an editor opens the article for editing&nbsp;– to communicate with one another. An HTML character entity is sometimes better than the equivalent Unicode character, which may be difficult to identify in edit mode; for example, Α is explicit whereas Α (the upper-case form of Greek α) may be misidentified as the Latin A. An article about Junípero Serra should say he lived in Alta Mexico, not in California, because the latter entity did not yet exist in Serra&#8217;s time. The Romans invaded Gaul, not France, and Thabo Mbeki was the president of the Republic of South Africa, not of the Cape Colony.</p>
</p>
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" 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<p>
<p>This is a comma before &#8220;and&#8221; or &#8220;or&#8221; at the end of a series, regardless of whether it is needed for clarification purposes. So, most articles aren&#8217;t closely related to any particular part of the English-speaking world. It is sometimes desirable to force a text segment to appear entirely on a single line‍—‌that is, to prevent a line break (line wrap) from occurring anywhere within it. Photographs and other graphics should have captions, unless they are unambiguous depictions of the subject of the article or when they are &#8220;self-captioning&#8221; images (such as reproductions of album or book covers). In a biography article no caption is necessary for a portrait of the subject pictured alone, but one might be used to give the year, the subject&#8217;s age, or other circumstances of the portrait along with the name of the subject. Text written in non-Latin scripts such as Greek, Cyrillic, and Chinese should not be italicized or put in bold, as the difference in script is already sufficient to visually distinguish the text.</p>
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<p>Generally, avoid joining two words with a slash, also called a forward slash, stroke or solidus (&nbsp;/&nbsp;), because it suggests that the words are related without specifying how. Use an en dash for the names of two or more entities in an attributive compound. Dashes can clarify a sentence&#8217;s structure when commas, parentheses, or both are also being used. A sentence may contain several semicolons, especially when the clauses are parallel in construction and meaning; multiple unrelated semicolons are often signs that the sentence should be divided into shorter sentences or otherwise refashioned. Use italics for the scientific names of plants, animals, and all other organisms except viruses at the genus level and below (italicize Panthera leo and Retroviridae, but not Felidae).</p></p>
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