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Topic Review
Cortana
Cortana is a virtual assistant developed by Microsoft which uses the Bing search engine to perform tasks such as setting reminders and answering questions for the user. Cortana is currently available in English, Portuguese, French, German, Italian, Spanish, Chinese, and Japanese language editions, depending on the software platform and region in which it is used. Microsoft began reducing the prevalence of Cortana and converting it from an assistant into different software integrations in 2019. It was split from Windows 10's search bar in April 2019. In January 2020, Cortana mobile app was removed from certain markets and in first half of 2021 Cortana mobile app was shut down globally.
  • 1.3K
  • 24 Oct 2022
Topic Review
Forscene
Forscene is an integrated internet video platform, video editing software, covering non linear editing and publishing for broadcast, web and mobile. Designed by Forbidden Technologies plc to allow collaborative editing of video, it is capable of video logging, reviewing, publishing and hosting to HD quality. The system is implemented as a mobile app for Android and IOS devices and as a web application with a Java applet as part of its user interface. The latter runs on platforms without application installation, codec installation, or machine configuration and has Web 2.0 features. Forscene won the Royal Television Society's award for Technology in the post-production process in December 2005, and is now used internationally. The underlying compression technology and the user interface are covered by separate patents.
  • 1.3K
  • 19 Oct 2022
Topic Review
BlackBerry Messenger
BlackBerry Messenger, also known as BBM, is a proprietary Internet-based instant messenger and videotelephony application included on BlackBerry devices that allows messaging and voice calls between BlackBerry, iOS, Android, and Windows Mobile users. The consumer edition is currently developed by Emtek under license from BlackBerry Limited (formerly known as Research In Motion), and was first released in August 2005. Messages sent via BlackBerry Messenger are sent over the Internet and use the BlackBerry PIN system. Many service providers allow sign-in to BlackBerry Messenger using a dedicated BlackBerry data plan. Exchanging messages is possible to a single person or via dedicated discussion or chat groups, which allow multiple BlackBerry devices to communicate in a single session. In addition to offering text-based instant messages, BlackBerry Messenger also allows users to send pictures, voicenotes (audio recordings), files (up to 16 MB), share real time location on a map, stickers and a wide selection of emoticons. Communication was only possible between BlackBerry devices until late 2013 when BBM was released on iOS and Android systems. 300 million Stickers have been shared. Daily, 150,000 BBM Voice Calls are placed. There are more than 190 million BBM users worldwide as of 2015, and BlackBerry infrastructure handled 30 petabytes of data traffic each month by early 2013. BBM was very popular in the late 2000s and the break of the decade, before it started to lose out to rivals like Apple's iMessage and the cross-platform service WhatsApp. As of April 2016, Indonesia is the only country where BBM is the most popular messaging app - installed on 87.5% of Android devices in the country.
  • 1.3K
  • 25 Oct 2022
Topic Review
Advanced Machine Learning
This entry provides a comprehensive state-of-the-art investigation of the recent advances in data science in emerging economic applications. The analysis is performed on the novel data science methods in four individual classes of deep learning models, hybrid deep learning models, hybrid machine learning, and ensemble models. Application domains include a broad and diverse range of economics research from the stock market, marketing, and e-commerce to corporate banking and cryptocurrency. Prisma method, a systematic literature review methodology, is used to ensure the quality of the survey. The findings reveal that the trends follow the advancement of hybrid models, which outperform other learning algorithms. It is further expected that the trends will converge toward the evolution of sophisticated hybrid deep learning models.
  • 1.3K
  • 25 Dec 2021
Topic Review
Variable Admittance Control for Human–Robot Interaction
Human–robot interaction (HRI) is a broad research topic, which is defined as understanding, designing, developing, and evaluating the robotic system to be used with or by humans. 
  • 1.3K
  • 26 Jul 2022
Topic Review
Natural Language Processing for Telehealth
The natural language processing (NLP) technology can serve as an interaction between computers and humans using linguistic analysis and deep learning methods to obtain knowledge from an unstructured free text. The NLP systems have shown their uniqueness and importance in the areas of information retrieval mostly in the retrieval and processing of large amount of unstructured clinical records and return structured information by user-defined queries. In general, the NLP system is aimed at representing explicitly the knowledge that is expressed by the text written in a natural language. 
  • 1.3K
  • 18 Sep 2021
Topic Review
Deep Learning in Fashion and Apparel Retail Industry
Compared to other industries, fashion apparel retail faces many challenges in predicting future demand for its products with a high degree of precision. Fashion products’ short life cycle, insufficient historical information, highly uncertain market demand, and periodic seasonal trends necessitate the use of models that can contribute to the efficient forecasting of products’ sales and demand. Many researchers have tried to address this problem using conventional forecasting models that predict future demands using historical sales information. Machine learning and deep learning models such as the support vector machine, neural network, and recurrent neural network are among many forecast models that have gained popularity among forecast researchers and practitioners given their ability to overcome the drawbacks of traditional linear forecast models.
  • 1.3K
  • 01 Jul 2022
Topic Review
Human-Robot Collaboration
Human-Robot Collaboration is the study of collaborative processes in human and robot agents work together to achieve shared goals. Many new applications for robots require them to work alongside people as capable members of human-robot teams. These include robots for homes, hospitals, and offices, space exploration and manufacturing. Human-Robot Collaboration (HRC) is an interdisciplinary research area comprising classical robotics, human-computer interaction, artificial intelligence, process design, layout planning, ergonomics, cognitive sciences, and psychology. Industrial applications of human-robot collaboration involve Collaborative Robots, or cobots, that physically interact with humans in a shared workspace to complete tasks such as collaborative manipulation or object handovers.
  • 1.3K
  • 19 Oct 2022
Topic Review
Edit Distance
In computational linguistics and computer science, edit distance is a way of quantifying how dissimilar two strings (e.g., words) are to one another by counting the minimum number of operations required to transform one string into the other. Edit distances find applications in natural language processing, where automatic spelling correction can determine candidate corrections for a misspelled word by selecting words from a dictionary that have a low distance to the word in question. In bioinformatics, it can be used to quantify the similarity of DNA sequences, which can be viewed as strings of the letters A, C, G and T. Different definitions of an edit distance use different sets of string operations. Levenshtein distance operations are the removal, insertion, or substitution of a character in the string. Being the most common metric, the term Levenshtein distance is often used interchangeably with edit distance.
  • 1.3K
  • 02 Dec 2022
Topic Review
C-TreeACE
c-treeACE is a database engine developed by FairCom Corporation. Software developers typically embed the c-treeACE engine within the applications that they create and then deploy the application and engine together as an integrated solution. The most recent edition is c-treeACE V11.5, which was released in November 2017. At its core, c-treeACE uses a record-oriented, Indexed Sequential Access Method (ISAM) structure offering high speed indexing mechanisms over those files. Developers can use these direct access methods to design the data and index structures that closely parallel the needs of their application. This paradigm is sometimes referred to as an application-specific database or an embedded database because of the tightly coupled nature of the application and database. The nature of c-treeACE allows it to be used in a range of products including: embedded systems that require limited disk and memory footprint and silent operation; shrink-wrap products developed by ISVs that require cross-platform support, minimal maintenance, and mass deployment; and enterprise systems that depend on performance and more precision control of database operations than a traditional enterprise database offers. Two versions of the product are available. c-treeACE Express is freely available for development from FairCom's web site and supports only the client/server architecture. The client-side libraries are precompiled, making it easy to use for evaluation. c-treeACE Professional is licensed separately and supports all architectures and includes full source code for the client libraries and much of the source code for the server. c-treeACE is one of few databases that specialize in making data locked into legacy database architecture available to modern APIs while minimizing time, resources and risks involved in modernization projects. c-treeACE combines the benefits of NoSQL such as high performance, low latency and precise data access control, with the flexbility of SQL interfaces.
  • 1.3K
  • 24 Nov 2022
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