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Context-sensitive user interface : The primary reason for introducing context sensitivity is to simplify the user interface. Advantages include: Reduced number of commands required to be known to the user for a given level of productivity. Reduced number of clicks or keystrokes required to carry out a given operation. ... |
Context-sensitive user interface : At the simplest level each possible action is reduced to a single most likely action – the action performed is based on a single variable (such as file extension). In more complicated implementations multiple factors can be assessed such as the user's previous actions, the size of the... |
Context-sensitive user interface : Autocomplete Autofill Autotype Combo box Context awareness DWIM "Do What I Mean" Principle of least astonishment (PLA/POLA) Quick time event (QTE) |
Coronavirus breathalyzer : A coronavirus breathalyzer is a diagnostic medical device enabling the user to test with 90% or greater accuracy the presence of severe acute respiratory syndrome coronavirus 2 in an exhaled breath. As of the first half of 2020, the idea of a practical coronavirus breathalyzer was concomitant... |
Coronavirus breathalyzer : In Australia, GreyScan CEO Samantha Ollerton and Prof. Michael Breadmore of the University of Tasmania are basing a coronavirus breathalyzer on existing technology that is used around the world to detect explosives. Another invention published from ABC News; produced by Colin Hickey and Exami... |
Coronavirus breathalyzer : Canary Health Technologies, headquartered in Toronto with offices in Cleveland, Ohio, is developing a breathalyzer with disposable nanosensors using AI-powered cloud-based analysis. According to a press release, clinical trials began in India during November 2020. The stated goal is to develo... |
Coronavirus breathalyzer : By the end of June 2020, Forum Virium Helsinki, in collaboration with Finnish software firm Deep Sensing Algorithms, funded by the Helsinki-Uusimaa Regional Council, announced that testing of their device had begun with a control group in Kazakhstan, with plans to expand to the Netherlands, t... |
Coronavirus breathalyzer : In March 2020, the Singaporean company RAM Global conducted research in Germany in hopes of developing a one-minute breathalyzer test for SARS-CoV-2 based on terahertz time-domain spectroscopy. The company attempted to develop a disposable test kit for direct detection of COVID-19 virion part... |
Coronavirus breathalyzer : Since April 2020, a team of researchers from Gadjah Mada University (UGM) has been developing an electronic nose called GeNose C19. The GeNose C19 can be used as a rapid, non-invasive screening tool in less than two minutes. A profiling test was carried out at the Bhayangkara Hospital and the... |
Coronavirus breathalyzer : In Israel, it is at the photonics lab of Gabby Sarusi, professor at Ben-Gurion University of the Negev, that research is underway as of midsummer 2020. Separately from Sarusi's project, in July 2020, it was reported that Israeli start-up Nanoscent in cooperation with Sheba Medical Center had ... |
Coronavirus breathalyzer : A breath test with the SpiroNose device, made by the Dutch company Breathomix, has been developed and tested in collaboration with the Leiden University Medical Center (LUMC), Franciscus Gasthuis & Vlietland and the GGD Amsterdam. The breath test has been validated as a pre-screening test for... |
Coronavirus breathalyzer : In February 2021, the President of Poland, Andrzej Duda, announced that ML System S. A., headquartered in Zaczernie, Poland, had successfully developed a means of analyzing a patient's breath to test for the presence of coronavirus. According to an anonymous press release, test subjects exhal... |
Coronavirus breathalyzer : In January 2021, Exhalation Technology Ltd (ETL) in Cambridge announced a clinical trial study for a cohort of up to 150 patients for its CoronaCheck breath test for COVID-19. |
Coronavirus breathalyzer : In 2020, research teams at the University of California, Los Angeles, and Ohio State University received funding to investigate the potential of breath analysis for SARS-CoV-2 detection. These investigations included exploring technologies that might enable rapid diagnosis, potentially within... |
Coronavirus breathalyzer : COVID-19 Diagnostics & testing of FIND SpiroNose |
Artificial intelligence in customer experience : Artificial intelligence in customer experience is the use and development of artificial intelligence (AI) to aid and improve customer experience (sometimes abbreviated to CX AI). Chatbots are often seen as the first step in the development of AI within the industry, but ... |
Artificial intelligence in customer experience : As with many AI applications, CX AI early implementation case studies have demonstrated that AI can increase the quality of customer interactions and therefore the overall experience that organizations can provide. This in turn has suggested a higher return on investment... |
Artificial intelligence in customer experience : Currently the main location for the application of CX AI in the sector is in contact centers. Historically, contact centers were simply known as call centers, but in recent years differentiation developed between the two terms. Call centers provide phone support, while c... |
Data analysis for fraud detection : Fraud represents a significant problem for governments and businesses and specialized analysis techniques for discovering fraud using them are required. Some of these methods include knowledge discovery in databases (KDD), data mining, machine learning and statistics. They offer appl... |
Data analysis for fraud detection : Examples of statistical data analysis techniques are: Data preprocessing techniques for detection, validation, error correction, and filling up of missing or incorrect data. Calculation of various statistical parameters such as averages, quantiles, performance metrics, probability di... |
Data analysis for fraud detection : Fraud detection is a knowledge-intensive activity. The main AI techniques used for fraud detection include: Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related ... |
Data analysis for fraud detection : Early data analysis techniques were oriented toward extracting quantitative and statistical data characteristics. These techniques facilitate useful data interpretations and can help to get better insights into the processes behind the data. Although the traditional data analysis tec... |
Data analysis for fraud detection : A major limitation for the validation of existing fraud detection methods is the lack of public datasets. One of the few examples is the Credit Card Fraud Detection dataset made available by the ULB Machine Learning Group. |
Deep learning speech synthesis : Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum (vocoder). Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-spee... |
Deep learning speech synthesis : Given an input text or some sequence of linguistic units Y , the target speech X can be derived by X = arg max P ( X | Y , θ ) where θ is the set of model parameters. Typically, the input text will first be passed to an acoustic feature generator, then the acoustic features are pa... |
Deep learning speech synthesis : In September 2016, DeepMind proposed WaveNet, a deep generative model of raw audio waveforms, demonstrating that deep learning-based models are capable of modeling raw waveforms and generating speech from acoustic features like spectrograms or mel-spectrograms. Although WaveNet was init... |
Deep learning speech synthesis : Currently, self-supervised learning has gained much attention through better use of unlabelled data. Research has shown that, with the aid of self-supervised loss, the need for paired data decreases. |
Deep learning speech synthesis : Zero-shot speaker adaptation is promising because a single model can generate speech with various speaker styles and characteristic. In June 2018, Google proposed to use pre-trained speaker verification models as speaker encoders to extract speaker embeddings. The speaker encoders then ... |
Deep learning speech synthesis : In deep learning-based speech synthesis, neural vocoders play an important role in generating high-quality speech from acoustic features. The WaveNet model proposed in 2016 achieves excellent performance on speech quality. Wavenet factorised the joint probability of a waveform x = =\,... |
DialogOS : DialogOS is a graphical programming environment to design computer system which can converse through voice with the user. Dialogs are clicked together in a Flowchart. DialogOS includes bindings to control Lego Mindstorms robots by voice and has bindings to SQL databases, as well as a generic plugin architect... |
DialogOS : DialogOS can control the LEGO Mindstorms NXT Series. It uses sensor-nodes to obtain values for the following sensors: noise sensor ultrasonic sensor touch sensor luminosity sensor |
DialogOS : Official website |
Document AI : Document AI, also known as Document Intelligence, refers to a field of technology that employs machine learning (ML) techniques, such as natural language processing (NLP). These techniques are used to develop computer models capable of analyzing documents in a manner akin to human review. Through NLP, com... |
Document AI : Machine learning is utilized in Document AI to extract information from both digital and printed documents. This technology recognizes text, characters, and images in various languages, aiding in the extraction of insights from unstructured documents. The use of this technology can improve the speed and q... |
Document AI : A business letter contains information in for the form of text, as well as other types of information, such as the position of the text. For instance, a typical letter contains two addresses before the body of the text. The address at the very top (sometimes aligned to the right) is the sender address. Th... |
Document AI : Data is typically distinguished in spatial data and time-series data, the former can be things like images, maps, graphs, etc. the latter can be e.g. stock-price or a voice recording. Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address i... |
Document AI : Enhancing the reliability of business information by reducing manual data entry errors Utilizing AI to identify anomalies in new invoices from established customers Accelerating the mortgage workflow process Automating the monitoring of loan portfolios for credit risk management Enabling employee focus on... |
DoNotPay : DoNotPay is an American company specializing in online legal services and chatbots. The product provides a "robot lawyer" service that claims to make use of artificial intelligence to contest parking tickets and provide various other legal services, with a subscription cost of $36 for three months. DoNotPay'... |
DoNotPay : DoNotPay was founded in 2015 by Joshua Browder. DoNotPay started off as an app for contesting parking tickets. It sells services which generate documents on legal issues ranging from consumer protection to immigration rights; it states that these are generated via automation and AI. The company claims its ap... |
DoNotPay : In 2016, Joshua Browder, the company's founder, told The Guardian that the chatbot had contested more than 250,000 parking tickets in London and New York and won 160,000 of them, although the newspaper did not appear to verify the claim. Browder's technology has received mixed reviews. For example, a blog po... |
DoNotPay : Artificial intelligence and law Computational law Lawbot Legal expert system Legal informatics Legal technology |
DoNotPay : Official website |
Eccky : Eccky was an online game. Until 2009, it was an MSN-based social simulation game in which two people work together to create and raise a virtual baby. Eccky won the 2005 SpinAwards for Innovation and for Best Interactive Concept. In 2009, the game play changed to a real-time virtual world on Hyves. As of 2024, ... |
Eccky : Eccky was created in August 2005 by Dutch developer Media Republic in association with MSN in the Netherlands. Eccky has characteristics of life simulation and virtual pet games. The gameplay of the first version of Eccky involved a virtual baby, or Eccky, which was born on the basis of information derived from... |
Eccky : In the first version of Eccky, two users create a virtual baby, and raise him/her with the goal of making the child as happy and satisfied as possible. A user fills out a questionnaire with information regarding their personal characteristics, child-rearing attitudes, favorites, etc. Once registration and the "... |
Eccky : In 2009, Dutch/Chinese developer TribePlay created a new version of Eccky and launched it in Hyves as one of the first social networking virtual worlds. In Eccky, players can make a character (an Eccky) with their social network profile. After that, they enter the Eccky world. In this world, they have access to... |
Eccky : Eccky English-language game website Eccky corporate website Archived 2007-05-09 at the Wayback Machine |
Eloquens (software) : Eloquens™ is a text-to-speech software, whose first version was released in 1993 by CSELT. It was the first commercial speech synthesis software able to speak Italian. |
Eloquens (software) : It was the first commercial product of the research center CSELT in the field of voice technology. It was built with diphone-technology aimed to reach a high computational efficiency. As a result, the produced voice is still "robotic", but more natural than the previous generation voice implemente... |
Eloquens (software) : Loquendo vidby Acapela |
Eloquens (software) : Billi, Roberto; Canavesio, Franco; Ciaramella, Alberto; Nebbia, L. (November 1995). "Interactive voice technology at work: The CSELT experience". Speech Communication. 17 (3–4): 263–271. doi:10.1016/0167-6393(95)00030-R. Balestri, Marcello; Lazzaretto, Stefano; Salza, Pier Luigi; Sandri, Stefano (... |
Eloquens (software) : Eloquens on Softonic Datasheet Archive: Eloquens 2000 |
Embryo Ranking Intelligent Classification Algorithm : Embryo Ranking Intelligent Classification Algorithm (ERICA) is a deep learning AI software designed to assist embryologists and clinicians during the embryo selection process leading to embryo transfer, a critical step of in vitro fertilisation treatments (IVF). Thi... |
Embryo Ranking Intelligent Classification Algorithm : Embryo selection In vitro fertilisation and embryo selection == References == |
Emotion recognition : Emotion recognition is the process of identifying human emotion. People vary widely in their accuracy at recognizing the emotions of others. Use of technology to help people with emotion recognition is a relatively nascent research area. Generally, the technology works best if it uses multiple mod... |
Emotion recognition : Humans show a great deal of variability in their abilities to recognize emotion. A key point to keep in mind when learning about automated emotion recognition is that there are several sources of "ground truth", or truth about what the real emotion is. Suppose we are trying to recognize the emotio... |
Emotion recognition : Decades of scientific research have been conducted developing and evaluating methods for automated emotion recognition. There is now an extensive literature proposing and evaluating hundreds of different kinds of methods, leveraging techniques from multiple areas, such as signal processing, machin... |
Emotion recognition : Emotion recognition is probably to gain the best outcome if applying multiple modalities by combining different objects, including text (conversation), audio, video, and physiology to detect emotions. |
Emotion recognition : Affective computing Face perception Facial recognition system Sentiment analysis Interpersonal accuracy == References == |
Emotion recognition in conversation : Emotion recognition in conversation (ERC) is a sub-field of emotion recognition, that focuses on mining human emotions from conversations or dialogues having two or more interlocutors. The datasets in this field are usually derived from social platforms that allow free and plenty o... |
Emotion recognition in conversation : The task of ERC deals with detecting emotions expressed by the speakers in each utterance of the conversation. ERC depends on three primary factors – the conversational context, interlocutors' mental state, and intent. |
Emotion recognition in conversation : IEMOCAP, SEMAINE, DailyDialogue, and MELD are the four widely used datasets in ERC. Among these four datasets, MELD contains multiparty dialogues. |
Emotion recognition in conversation : Approaches to ERC consist of unsupervised, semi-unsupervised, and supervised methods. Popular supervised methods include using or combining pre-defined features, recurrent neural networks (DialogueRNN), graph convolutional networks (DialogueGCN ), and attention gated hierarchical m... |
Emotion recognition in conversation : Recently a new subtask of ERC has emerged that focuses on recognising emotion cause in conversation. Methods to solve this task rely on language models-based question answering mechanism. RECCON is one of the key datasets for this task. |
Emotion recognition in conversation : Emotion recognition Sentiment analysis == References == |
EuResist : EuResist is an international project designed to improve the treatment of HIV patients by developing a computerized system that can recommend optimal treatment based on the patient's clinical and genomic data. The project is part of the Virtual Physiological Human framework, funded by the European Commission... |
EuResist : AIDS is a disease caused by the HIV retrovirus, which progressively reduces the effectiveness of the immune system, leading to infections and ultimately death. More than 30 different drugs exist for treating HIV patients. Antiretroviral drugs can disrupt the virus's replication process causing its numbers to... |
EuResist : The goal of EuResist was to develop a clinical decision support system for determining the most effective antiretroviral therapy for people diagnosed with HIV, based on clinical and virological data. To do so required collecting a large database of in vivo data (clinical and genomic records of real treatment... |
EuResist : EuResist started in 2006 as a consortium funded by the European Union as part of the Virtual Physiological Human FP-6 framework. The partners of this consortium were: IBM Haifa Research Laboratory (Israel) Informa S.r.l. (Italy) Karolinska Institutet (Sweden) Kingston University (United Kingdom) Max Planck I... |
EuResist : On June 1, 2009, EuResist received a Computerworld honors program laureate award, a global program honoring individuals and organizations that use information technology to benefit society. |
EuResist : Official website |
Eurisko : Eurisko (Gr., I discover) is a discovery system written by Douglas Lenat in RLL-1, a representation language itself written in the Lisp programming language. A sequel to Automated Mathematician, it consists of heuristics, i.e. rules of thumb, including heuristics describing how to use and change its own heuri... |
Eurisko : Development commenced at Carnegie Mellon in 1976 and continued at Stanford University in 1978 when Lenat returned to teach. "For the first five years, nothing good came out of it", Lenat said. But when the implementation was changed to a frame language based representation he called RLL (Representation Langua... |
Eurisko : In the first-season The X-Files episode "Ghost in the Machine", Eurisko is the name of a fictional software company responsible for the episode's "monster of the week", facilities management software known as "Central Operating System", or "COS". COS (described in the episode as an "adaptive network") is show... |
Eurisko : Understanding Computers: Artificial Intelligence. Amsterdam: Time-Life Books. 1986. pp. 81–84. ISBN 978-0-7054-0915-5. Lenat, Douglas; Brown, J.S. (1984). "Why AM and EURISKO appear to work" (PDF). Artificial Intelligence. 23 (3): 269–294. CiteSeerX 10.1.1.565.8830. doi:10.1016/0004-3702(84)90016-X. Haase, Ke... |
Eurisko : Eurisko on Github |
Evergage : Evergage was a cloud-based software that allowed users to collect, analyze, and respond to user behavior on their websites and web applications in real-time. In 2020, Evergage was acquired by Salesforce and was rebranded as Interaction Studio. The company positions itself as a "real-time personalization and ... |
Evergage : Software as a Service Web analytics Customer data platform == References == |
Fake nude photography : Fake nude photography is the creation of nude photographs designed to appear as genuine nudes of an individual. The motivations for the creation of these modified photographs include curiosity, sexual gratification, the stigmatization or embarrassment of the subject, and commercial gain, such as... |
Fake nude photography : Magazines such as Celebrity Skin published non-fake paparazzi shots and illicitly obtained nude photos, showing there was a market for such images. Subsequently, some websites hosted fake nude or pornographic photos of celebrities, which are sometimes referred to as celebrity fakes. In the 1990s... |
Fake nude photography : The reasons for the creation of nude photos may range from a need to discredit the target publicly, personal hatred for the target, or the promise of pecuniary gains for such work on the part of the creator of such photos. Fake nude photos often target prominent figures such as businesspeople or... |
Fake nude photography : In 2010, 97 people were arrested in Korea after spreading fake nude pictures of the group Girls' Generation on the internet. In 2011, a 53-year-old Incheon man was arrested after spreading more fake pictures of the same group. In 2012, South Korean police identified 157 Korean artists of whom fa... |
Fake nude photography : Fake nude images can be created using image editing software or neural network applications. There are two basic methods: Combine and superimpose existing images onto source images, adding the face of the subject onto a nude model. Remove clothes from the source image to make it look like a nude... |
Fake nude photography : Images of this type may have a negative psychological impact on the victims and may be used for extortion purposes. |
Fake nude photography : Nude photography Glamour photography Deepfake pornography Voyeurism |
Fake nude photography : Forbes, chapter 169, no 1–6, p. 84, Bertie Charles, Forbes Incorporated, 2002, California university. American Journalism Review: AJR., chapter 18, no 1–5, p. 29, College of Journalism of the University of Maryland at College Park, 1996 Hana S. Noor Al-Deen, John Allen Hendricks, Social Media: U... |
FatKat (investment software) : FatKat, Inc. is a privately held company founded in 1999 by Raymond C. Kurzweil, an author, inventor, and futurist. He's perhaps best known for creating an optical character recognition system that – in conjunction with a flatbed scanner and text-to-speech synthesizer – reads text aloud t... |
FatKat (investment software) : FatKat was registered as a foreign corporation in 1999 with the Massachusetts Secretary of the Commonwealth, Corporations Division. It was originally formed as a company in the state of Delaware. Ray Kurzweil is the president of FatKat, with Aaron Kleiner serving as treasurer and secretar... |
FatKat (investment software) : Two hedge funds exist that use the FatKat name: FatKat Investment Fund, LP and FatKat QP Investment Fund, LP. Both of these investment fund companies list Kurzweil Capital Partners LLC as a general partner. These companies were formed in December 2005, also in Delaware. Neither of the hed... |
FatKat (investment software) : Documented investors in FatKat, Inc. and its hedge funds are venture capitalist Vinod Khosla and Michael W. Brown (former CFO of Microsoft and chairman of NASDAQ). Other investors have not been disclosed. == References == |
The Finals : The Finals is a free-to-play first-person shooter, developed and published by Nexon subsidiary Embark Studios. The game focuses on team-based matches on maps with a destructible environment, where players are encouraged to use the dynamic environment to their advantage. |
The Finals : The Finals revolves around players competing in the titular fictional VR combat game show. This is reflected in the holographic crowds which are seen during gameplay, as well as the commentary provided by the game in the form of The Finals' two hosts making observations about the status of a given team or ... |
The Finals : The Finals, along with Arc Raiders are the first two titles from Stockholm-based Embark Studios. A producer noted that destructibility changed the way the player approached the game, saying "we're constantly surprised by the new and inventive ways players utilize the freedom the game grants. Why open a doo... |
The Finals : According to IGN, poor performance and low frame rates posed an issue during the game's early closed betas. The Finals has also been criticized for the use of the A.I. text-to-speech program created by ElevenLabs to artificially generate the voices of characters, rather than utilizing traditional voice act... |
The Finals : Official website Embark Studios |
GestureTek : GestureTek is an American-based interactive technology company headquartered in Silicon Valley, California, with offices in Toronto and Ottawa, Ontario and Asia. |
GestureTek : Founded in 1986 by Canadians Vincent John Vincent and Francis MacDougall, this privately held company develops and licenses gesture recognition software based on computer vision techniques. The partners invented video gesture control in 1986 and received their base patent in 1996 for the GestPoint video ge... |
GestureTek : GestureTek's gesture interface applications include multi-touch and 3D camera tracking. GestureTek's multi-touch technology powers the multi-touch table in Melbourne's Eureka Tower. A GestureTek multi-touch table with object recognition is found at the New York City Visitors Center. Telefónica has a multi-... |
GestureTek : GestureTek currently has 8 patents awarded, including: 5,534,917 (Video Gesture Control Motion Detection); 7,058,204 (Multiple Camera Control System, Point to Control Base Patent); 7,421,093 (Multiple Camera Tracking System for Interfacing With an Application); 7,227,526 (Stereo Camera Control, 3D-Vision I... |
GestureTek : Other companies in the industry of interactive projections for marketing and retail experiences include Po-motion Inc., Touchmagix and LM3LABS. == References == |
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