Search Results For Powerpoint (86)
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Search results for powerpoint (86)
Beyond language models, multimodal intelligence across text, image and layout is enabling beautiful slide design recommendations in Microsoft PowerPoint Designer. This multimodal capability can find relevant answers in natural language, visualize the answer presented in images, and refine search with visual objects from images in Bing question-and-answer and multimedia-search experiences.
Semantic search, offered through Azure Cognitive Search, is a query-related capability that brings semantic relevance and language understanding to search results. Organizations including Igloo Software and Ecolab use it to empower customers and employees alike. When enabled on your search service, semantic search extends the query execution pipeline in two ways: It adds secondary ranking over an initial result set, promoting the most semantically relevant results to the top of lists; and it extracts and returns captions and answers, which you can render on a search page.
Last year, our partnership with OpenAI brought to the mainstream GPT-3 models that light up innovative product experiences such as no-code/low-code app creation via conversation to code in Microsoft Power Apps. We then expanded this generative capability to 100 languages with a unified multilanguage generative encoder-decoder model (Turing ULG) that brings in research innovation in and DeltaLM. This model is still top of the leaderboard in the Large-Scale Multilingual Machine Translation challenge.
Language models with large numbers of parameters, more data and more training time acquire a richer, more nuanced understanding of language. This diagram depicts the increase in state-of-the-art NLP models over time. Graph courtesy of Microsoft Research.
These innovations have enabled efficient use of compute resources to enable training with fewer resources and allowing researchers to experiment with even larger models to advance the state of the art for various tasks and without breaking the bank.
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A refusal to submit to a test to indicate the percentage by weight of alcohol in the blood, when requested by a law enforcement officer in accordance with 91.17(c) of this chapter, or a refusal to furnish or authorize the release of the test results requested by the Administrator in accordance with 91.17(c) or (d) of this chapter, is grounds for:
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Chronic overexpression of hepcidin causes iron-restricted anemia in mice and humans, typically manifested as microcytic, hypochromic anemia. Conversely, hepcidin deficiency in mice and humans results in iron overload with iron deposition in the liver and other parenchyma, and sparing of the macrophage-rich spleen. Complete absence of hepcidin in humans causes juvenile hemochromatosis, the most severe form of hereditary hemochromatosis.
Tufte had argued his judgment that the information density of text on PowerPoint slides was too low, perhaps only 40 words on a slide, leading to over-simplified messages; Mayer responded that his empirical research showed exactly the opposite, that the amount of text on PowerPoint slides was usually too high, and that even fewer than 40 words on a slide resulted in "PowerPoint overload" that impeded understanding during presentations.
Kosslyn presented a set of psychological principles of "human perception, memory, and comprehension" that "appears to capture the major points of agreement among researchers." He reports that his experiments support the idea that it is not intuitive or obvious how to create effective PowerPoint presentations that conform to those agreed principles, and that even small differences that might not seem significant to a presenter can produce very different results in audiences' understanding. For this reason, Kosslyn says, users need specific education to be able to identify best ways to avoid "flaws and failures":
Further, many argue that Google is moving searchers away from clicking through to websites and toward fulfilling their needs and intents directly on the Google website via featured snippets, reduced numbers of organic results on the first page, increases in paid search results, etc. making the competition more costly with less potential reward.
An important caveat to the interpretation of our results concerns the definition of species. Different taxonomic communities (e.g., zoologists, botanists, and bacteriologists) use different levels of differentiation to define a species. This implies that the numbers of species for taxa classified according to different conventions are not directly comparable. For example, that prokaryotes add only 0.1% to the total number of known species is not so much a statement about the diversity of prokaryotes as it is a statement about what a species means in this group. Thus, although estimates of the number of species are internally consistent for kingdoms classified under the same conventions, our aggregated predictions for eukaryotes and prokaryotes should be interpreted with that caution in mind.
Funding: This work was funded by the French Foundation for Research on Biodiversity (FRB) through its Centre for Synthesis and Analysis of Biodiversity data (CESAB), as part of the NETSEED research project. The funders had no role in the preparation of the manuscript.
Literature reviews are in great demand in most scientific fields. Their need stems from the ever-increasing output of scientific publications . For example, compared to 1991, in 2008 three, eight, and forty times more papers were indexed in Web of Science on malaria, obesity, and biodiversity, respectively . Given such mountains of papers, scientists cannot be expected to examine in detail every single new paper relevant to their interests . Thus, it is both advantageous and necessary to rely on regular summaries of the recent literature. Although recognition for scientists mainly comes from primary research, timely literature reviews can lead to new synthetic insights and are often widely read . For such summaries to be useful, however, they need to be compiled in a professional way .
When starting from scratch, reviewing the literature can require a titanic amount of work. That is why researchers who have spent their career working on a certain research issue are in a perfect position to review that literature. Some graduate schools are now offering courses in reviewing the literature, given that most research students start their project by producing an overview of what has already been done on their research issue . However, it is likely that most scientists have not thought in detail about how to approach and carry out a literature review.
Ideas for potential reviews may come from papers providing lists of key research questions to be answered , but also from serendipitous moments during desultory reading and discussions. In addition to choosing your topic, you should also select a target audience. In many cases, the topic (e.g., web services in computational biology) will automatically define an audience (e.g., computational biologists), but that same topic may also be of interest to neighbouring fields (e.g., computer science, biology, etc.).
The bottom-right situation (many literature reviews but few research papers) is not just a theoretical situation; it applies, for example, to the study of the impacts of climate change on plant diseases, where there appear to be more literature reviews than research studies .
There is probably a continuum between mini- and full reviews. The same point applies to the dichotomy of descriptive vs. integrative reviews. While descriptive reviews focus on the methodology, findings, and interpretation of each reviewed study, integrative reviews attempt to find common ideas and concepts from the reviewed material . A similar distinction exists between narrative and systematic reviews: while narrative reviews are qualitative, systematic reviews attempt to test a hypothesis based on the published evidence, which is gathered using a predefined protocol to reduce bias , . When systematic reviews analyse quantitative results in a quantitative way, they become meta-analyses. The choice between different review types will have to be made on a case-by-case basis, depending not just on the nature of the material found and the preferences of the target journal(s), but also on the time available to write the review and the number of coauthors .
Reviewing the literature is not stamp collecting. A good review does not just summarize the literature, but discusses it critically, identifies methodological problems, and points out research gaps . After having read a review of the literature, a reader should have a rough idea of:
Like a well-baked cake, a good review has a number of telling features: it is worth the reader's time, timely, systematic, well written, focused, and critical. It also needs a good structure. With reviews, the usual subdivision of research papers into introduction, methods, results, and discussion does not work or is rarely used. However, a general introduction of the context and, toward the end, a recapitulation of the main points covered and take-home messages make sense also in the case of reviews. For systematic reviews, there is a trend towards including information about how the literature was searched (database, keywords, time limits) . 041b061a72