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AI: When a Robot Writes a Play : The play premiered on 26 February 2021 in Švanda Theatre in Prague, Czech Republic, directed by Daniel Hrbek. Due to the COVID-19 pandemic, the play was not played in front of a live audience, but it was broadcast online, in Czech language with English subtitles. The play was followed b... |
AI: When a Robot Writes a Play : The play received a number of reviews, both in its country of origin as well as internationally. It is praised as first of its kind, although some reviewers note the similarity to previous works, such as the musical Beyond the Fence, the play Lifestyle of the Richard and Family, or the ... |
AI: When a Robot Writes a Play : The play entry at the Švanda theatre website The script of the play THEaiTRE project website |
Aidoc : Aidoc Medical is an Israeli technology company that develops computer-aided simple triage and notification systems. Aidoc has obtained FDA and CE mark approval for its stroke, pulmonary embolism, cervical fracture, intracranial hemorrhage, intra-abdominal free gas, and incidental pulmonary embolism algorithms. ... |
Aidoc : Aidoc was founded in 2016 by Elad Walach as the CEO, Michael Braginsky as the CTO and Guy Reiner as the VP. In April 2017, the company raised $7M, led by TLV Partners, and in April 2019, the company raised another $27M, led by Square Peg capital. In August 2018, Aidoc gained FDA clearance for its intracranial h... |
Aidoc : Aidoc has developed a suite of artificial intelligence products that flag both time-sensitive and time-consuming (for the radiologist) abnormalities across the body. The algorithms are developed with large quantities of data to provide diagnostic aid for a broad set of pathologies. The company offers an array o... |
Aidoc : A clinical study on Aidoc’ accuracy of deep convolutional neural networks for the detection of pulmonary embolism (PE) on CT pulmonary angiograms (CTPAs) was performed by the University Hospital of Basel and presented at the European Congress of Radiology, showing that the Aidoc algorithm reached 93% sensitivit... |
Aidoc : Official website |
AIVA : AIVA (Artificial Intelligence Virtual Artist) is an electronic composer recognized by the SACEM. |
AIVA : Created in February 2016, AIVA specializes in classical and symphonic music composition. It became the world's first virtual composer to be recognized by a music society (SACEM). By reading a large collection of existing works of classical music (written by human composers such as Bach, Beethoven, Mozart) AIVA i... |
AIVA : AIVA is a published composer; its first studio album "Genesis" was released in November 2016. Second album "Among the Stars" in 2018. 2016 CD album « Genesis » Hv-Com – LEPM 048427. Track listing "Genesis": 2018 CD album « Among the Stars » Hv-Com – LEPM 048708 Avignon Symphonic Orchestra [ORAP] also performed A... |
AIVA : Applications of artificial intelligence Computer music Music and artificial intelligence == References == |
Alice (Microsoft) : ALICE is an Artificial Intelligence project initiated by Microsoft Research, known as Automated Learning and Intelligence for Causation and Economics. The project focuses on leveraging state-of-the-art machine learning techniques combined with econometrics to enhance economic decision-making process... |
Alice (Microsoft) : The primary goal of ALICE is to measure causation in economic systems, which is crucial for making informed policy decisions. This involves understanding the reasons behind the movements within complex economies. The project builds on Microsoft's long history of integrating Economics and Computer Sc... |
Anyword : Anyword is a technology company that offers an artificial intelligence platform, using natural language processing to generate and optimize marketing text for websites, social media, email, and ads. The company also offers a complete managed service to publishers and brands to help them increase their revenue... |
Anyword : It was founded in 2013 — its original name was Keywee Inc. In March 2015, Anyword received $9.1 million in the Series A funding round led by a notable group of investors. In July 2016, the company was selected as an official Facebook Marketing Partner. In August 2019, Anyword was named Best Content Marketing ... |
Outline of artificial intelligence : The following outline is provided as an overview of and topical guide to artificial intelligence: Artificial intelligence (AI) is intelligence exhibited by machines or software. It is also the name of the scientific field which studies how to create computers and computer software t... |
Outline of artificial intelligence : History of artificial intelligence Progress in artificial intelligence Timeline of artificial intelligence AI effect – as soon as AI successfully solves a problem, the problem is no longer considered by the public to be a part of AI. This phenomenon has occurred in relation to every... |
Outline of artificial intelligence : Artificial general intelligence. An intelligent machine with the versatility to perform any intellectual task. Superintelligence. A machine with a level of intelligence far beyond human intelligence. Chinese room § Strong AI. A machine that has mind, consciousness and understanding.... |
Outline of artificial intelligence : Artificial intelligence in fiction – Some examples of artificially intelligent entities depicted in science fiction include: AC created by merging 2 AIs in the Sprawl trilogy by William Gibson Agents in the simulated reality known as "The Matrix" in The Matrix franchise Agent Smith,... |
Outline of artificial intelligence : Glossary of artificial intelligence List of emerging technologies Outline of machine learning Artificial intelligence industry in China |
Outline of artificial intelligence : A look at the re-emergence of A.I. and why the technology is poised to succeed given today's environment, ComputerWorld, 2015 September 14 The Association for the Advancement of Artificial Intelligence Freeview Video 'Machines with Minds' by the Vega Science Trust and the BBC/OU Joh... |
Artificial intelligence in government : Artificial intelligence (AI) has a range of uses in government. It can be used to further public policy objectives (in areas such as emergency services, health and welfare), as well as assist the public to interact with the government (through the use of virtual assistants, for e... |
Artificial intelligence in government : The potential uses of AI in government are wide and varied, with Deloitte considering that "Cognitive technologies could eventually revolutionize every facet of government operations". Mehr suggests that six types of government problems are appropriate for AI applications: Resour... |
Artificial intelligence in government : AI offers potential efficiencies and costs savings for the government. For example, Deloitte has estimated that automation could save US Government employees between 96.7 million to 1.2 billion hours a year, resulting in potential savings of between $3.3 billion to $41.1 billion ... |
Artificial intelligence in government : Risks associated with the use of AI in government include AI becoming susceptible to bias, a lack of transparency in how an AI application may make decisions, and the accountability for any such decisions. AI in governance and the economic world might make the market more difficu... |
Artificial intelligence in government : AI for Good Applications of artificial intelligence Artificial general intelligence Artificial intelligence and elections Civic technology e-government Existential risk from artificial general intelligence Government by algorithm Lawbot Project Cybersyn Regulation of artificial i... |
Artificial intelligence in government : Cornish, Lisa (5 December 2018). "Bringing intelligence to government decision-making". The Mandarin. Retrieved 12 January 2019. Garner, Catherine (4 December 2018). "Demystifying artificial intelligence". The Canberra Times. Archived from the original on 12 January 2019. Retriev... |
Artificial intelligence in industry : Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring hum... |
Artificial intelligence in industry : Possible applications of industrial AI and machine learning in the production domain can be divided into seven application areas: Market and trend analysis Machinery and equipment Intralogistics Production process Supply chain Building Product Each application area can be further d... |
Artificial intelligence in industry : In contrast to entirely virtual systems, in which ML applications are already widespread today, real-world production processes are characterized by the interaction between the virtual and the physical world. Data is recorded using sensors and processed on computational entities an... |
Artificial intelligence in industry : The development of ML applications – starting with the identification and selection of the use case and ending with the deployment and maintenance of the application – follows dedicated phases that can be organized in standard process models. The process models assist in structurin... |
Artificial intelligence in industry : The foundation of most artificial intelligence and machine learning applications in industrial settings are comprehensive datasets from the respective fields. Those datasets act as the basis for training the employed models. In other domains, like computer vision, speech recognitio... |
Artificial intelligence in industry : Artificial intelligence for business education refers to the academic programs offered by universities that integrate artificial intelligence (AI) with business management principles. These programs aim to prepare students for the increasing role of AI in business, equipping them w... |
Artificial intelligence in industry : Operational artificial intelligence Artificial intelligence in heavy industry == References == |
Artificial intelligence in mental health : Artificial intelligence in mental health refers to the application of artificial intelligence (AI), computational technologies and algorithms to support the understanding, diagnosis, and treatment of mental health disorders. In the context of mental health, AI is considered a ... |
Artificial intelligence in mental health : In 2019, 1 in every 8 people, or 970 million people around the world were living with a mental disorder, with anxiety and depressive disorders being the most common. In 2020, the number of people living with anxiety and depressive disorders rose significantly because of the CO... |
Artificial intelligence in mental health : There are several components of AI that are currently widely available for multiple applications, such as machine learning (ML), natural language processing (NLP), deep learning (DL), and computer vision (CV). These technologies enable early detection of mental health conditio... |
Artificial intelligence in mental health : AI in mental health offers several benefits, such as: Improving the accuracy of diagnosis: AI-based systems can analyze data from various sources, such as brain imaging and genetic tests, to identify biomarkers of mental health conditions and improve the accuracy of diagnosis.... |
Artificial intelligence in mental health : AI in mental health also poses several challenges, including: Informed consent: AI-based systems are intricate, along with possessing biases and data-related complications. Properly informing patients of these drawbacks is crucial, though the responsibility falls in the hands ... |
Artificial intelligence in mental health : As of 2020, the Food and Drug Administration (FDA) had not approved any artificial intelligence-based tools for use in Psychiatry. However, in 2022, the FDA granted authorization for the initial testing of an AI-driven mental health assessment tool known as the AI-Generated Cl... |
Artificial intelligence in mental health : AI in mental health is still an emerging field and there are still some concerns and criticisms about the use of AI in this area, such as: Lack of data: There is a lack of data available to train AI systems, which limits their ability to accurately identify patterns in mental ... |
Artificial intelligence in mental health : Although significant progress is still required, the integration of AI in mental health underscores the need for legal and regulatory frameworks to guide its development and implementation. Achieving a balance between human interaction and AI in healthcare is challenging, as t... |
Artificial intelligence in mental health : Artificial intelligence in healthcare Artificial intelligence detection software AI alignment Artificial intelligence in healthcare Artificial intelligence Glossary of artificial intelligence Clinical decision support system Computer-aided diagnosis Health software |
Artificial intelligence in mental health : Lee, Ellen E.; Torous, John; De Choudhury, Munmun; Depp, Colin A.; Graham, Sarah A.; Kim, Ho-Cheol; Paulus, Martin P.; Krystal, John H.; Jeste, Dilip V. (2021). "Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdo... |
Artificial intuition : Artificial intuition is a theoretical capacity of an artificial software to function similarly to human consciousness, specifically in the capacity of human consciousness known as intuition. |
Artificial intuition : Intuition is the function of the mind, the experience of which, is described as knowledge based on "a hunch", resulting (as the word itself does) from "contemplation" or "insight". Psychologist Jean Piaget showed that intuitive functioning within the normally developing human child at the Intuiti... |
Artificial intuition : The notion of a process of a data-interpretative synthesis has already been found in a computational-linguistic software application that has been created for use in an internal security context. The software integrates computed data based specifically on objectives incorporating a paradigm descr... |
Artificial intuition : The Oxford Companion to Philosophy - E. Honderich (Oxford University Press, 1995) ISBN 0198661320 |
Artificial intuition : image/drawing showing meta-map 19:49(GMT) Academia © 2011 retrieved 19:38(GMT) 25.10.2011 (People who have Artificial Intuition as a research subject) transcript of conversation (2) retrieved 19:57(UTC) 26.10.2011 (a discussion held within The Intuition Network website showing a discussion betwee... |
Asana, Inc. : Asana, Inc. ( or ) is an American software company based in San Francisco whose flagship Asana service is a web and mobile "work management" platform designed to help teams organize, track, and manage their work. Asana, Inc. was founded in 2008 by Dustin Moskovitz and Justin Rosenstein. The product launch... |
Asana, Inc. : The co-founders met at Facebook, where Moskovitz, Facebook's co-founder and vice president of engineering, and his colleague Rosenstein created a productivity tool called Tasks. In 2008, the co-founders left Facebook to start Asana. Asana officially launched for free out of beta in November 2011 and comme... |
Asana, Inc. : Asana is a software-as-a-service platform designed for team collaboration and work management. Teams can create projects, assign tasks, set deadlines, and communicate directly within Asana. It also includes reporting tools, file attachments, calendars, and goal tracking. In 2022, Asana released features f... |
Asana, Inc. : Asana twice received a 4.5 out of 5 from PC Magazine. In 2017, it was an Editors' Choice and was called "one of the best collaboration and productivity apps for teams" and went on to note its "thoughtful design, fluid interactive elements, and generous member allotment." In 2020, it received a Best of the... |
Asana, Inc. : Collaborative workflow Collaborative software List of collaborative software Information silo Project management software Comparison of project management software Social project management Team management |
Asana, Inc. : Official website Business data for Asana, Inc.: |
Automatic image annotation : Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image. This application of computer vision techniques is used in image retrie... |
Automatic image annotation : Content-based image retrieval Object categorization from image search Object detection Outline of object recognition |
Automatic image annotation : Datta, Ritendra; Dhiraj Joshi; Jia Li; James Z. Wang (2008). "Image Retrieval: Ideas, Influences, and Trends of the New Age". ACM Computing Surveys. 40 (2): 1–60. doi:10.1145/1348246.1348248. S2CID 7060187. Nicolas Hervé; Nozha Boujemaa (2007). "Image annotation : which approach for realist... |
Automatic image annotation : Word co-occurrence model Y Mori; H Takahashi & R Oka (1999). "Image-to-word transformation based on dividing and vector quantizing images with words.". Proceedings of the International Workshop on Multimedia Intelligent Storage and Retrieval Management. CiteSeerX 10.1.1.31.1704. Annotation ... |
Ballin' (Mustard and Roddy Ricch song) : "Ballin'" is a song by American record producer DJ Mustard and American rapper Roddy Ricch. The track was released as the third single from Mustard's third studio album, Perfect Ten, on August 20, 2019, though it was available as early as the end of June 2019. The song and its a... |
Ballin' (Mustard and Roddy Ricch song) : Roddy Ricch revealed in an interview that the song was composed in late 2018, but Mustard wanted to keep it for his album, Perfect Ten, which he was still working on. The song was later included on the album, released in June 2019. Ricch said he knew the song was "hard enough" t... |
Ballin' (Mustard and Roddy Ricch song) : "Ballin'" has a "rags to riches" theme. In its intro, the song samples girl group 702's 1997 top ten hit "Get It Together". The song features a "smooth, bouncy beat", with Roddy Ricch rapping about his come-up and ascent in the music industry. In the first verse, Ricch salutes f... |
Ballin' (Mustard and Roddy Ricch song) : The song was widely acclaimed by music critics. Charles Holmes of Rolling Stone magazine called it "a song of the year contender", while Complex and Billboard both named it as a "standout track" on the album. Pitchfork magazine included "Ballin'" in its list of The Best Rap Song... |
Ballin' (Mustard and Roddy Ricch song) : "Ballin'" was at the time Mustard's highest charting song in the US, peaking at number 11 on the Billboard Hot 100. It was also Roddy Ricch's highest charting song, until he surpassed it a week later, with the release of his album track "The Box", which eventually reached number... |
Ballin' (Mustard and Roddy Ricch song) : The music video for the track was teased by Mustard on his Instagram page on September 29, 2019. The music video for the track was eventually released on October 2, 2019 to critical acclaim. |
Ballin' (Mustard and Roddy Ricch song) : On December 16, 2019, Roddy Ricch performed the song live, alongside an 8-piece orchestra, at Peppermint Club in Los Angeles for Audiomack's Trap Symphony series. Along with Mustard, he performed it at The Pop Out: Ken & Friends on June 19, 2024. |
Ballin' (Mustard and Roddy Ricch song) : The song can be heard on "Elyse's Skit", track 10 off Roddy Ricch's debut album Please Excuse Me for Being Antisocial. In the skit, which is an actual voicenote recording, the mother of a woman named Elyse sends her daughter a voicenote, with "Ballin'" playing in the background,... |
Big Mechanism : Big Mechanism is a $45 million DARPA research program, begun in 2014, aimed at developing software that will read cancer research papers, integrate them into a cancer model and frame new hypotheses by the end of 2017 through the automated collection of big data and integrating across various disciplines... |
Big Mechanism : The program focuses on mutations in the Ras gene family, which underlie some one-third of human cancers. Currently, a rough road map shows interaction sequences among proteins affecting cell replication and death. However, the causal relations are poorly understood. |
Big Mechanism : The program is to occur in three stages. The first is to read literature and convert it into formal representations. Second is to integrate the knowledge into computational models. Third is to produce experimentally testable explanations and predictions. Research teams are developing four separate syste... |
Big Mechanism : Official website |
Cancer Likelihood in Plasma : Cancer Likelihood in Plasma (CLiP) refers to a set of ensemble learning methods for integrating various genomic features useful for the noninvasive detection of early cancers from blood plasma. An application of this technique for early detection of lung cancer (Lung-CLiP) was originally d... |
Causal AI : Causal AI is a technique in artificial intelligence that builds a causal model and can thereby make inferences using causality rather than just correlation. One practical use for causal AI is for organisations to explain decision-making and the causes for a decision. Systems based on causal AI, by identifyi... |
Causal AI : The concept of causal AI and the limits of machine learning were raised by Judea Pearl, the Turing Award-winning computer scientist and philosopher, in 2018's The Book of Why: The New Science of Cause and Effect. Pearl asserted: “Machines' lack of understanding of causal relations is perhaps the biggest roa... |
Chinese speech synthesis : Chinese speech synthesis is the application of speech synthesis to the Chinese language (usually Standard Chinese). It poses additional difficulties due to Chinese characters frequently having different pronunciations in different contexts and the complex prosody, which is essential to convey... |
Chinese speech synthesis : Recordings can be concatenated in any desired combination, but the joins sound forced (as is usual for simple concatenation-based speech synthesis) and this can severely affect prosody; these synthesizers are also inflexible in terms of speed and expression. However, because these synthesizer... |
Chinese speech synthesis : The lightweight open-source speech project eSpeak, which has its own approach to synthesis, has experimented with Mandarin and Cantonese. eSpeak was used by Google Translate from May 2010 until December 2010. The commercial product "Yuet" is also lightweight (it is intended to be suitable for... |
Chinese speech synthesis : A "corpus-based" approach can sound very natural in most cases but can err in dealing with unusual phrases if they can't be matched with the corpus. The synthesiser engine is typically very large (hundreds or even thousands of megabytes) due to the size of the corpus. |
Clinical decision support system : A clinical decision support system (CDSS) is a health information technology that provides clinicians, staff, patients, and other individuals with knowledge and person-specific information to help health and health care. CDSS encompasses a variety of tools to enhance decision-making i... |
Clinical decision support system : A clinical decision support system is an active knowledge system that uses variables of patient data to produce advice regarding health care. This implies that a CDSS is simply a decision support system focused on using knowledge management. |
Clinical decision support system : The evidence of the effectiveness of CDSS is mixed. There are certain diseases which benefit more from CDSS than other disease entities. A 2018 systematic review identified six medical conditions in which CDSS improved patient outcomes in hospital settings, including blood glucose man... |
Clinical decision support system : Implementing EHRs was an inevitable challenge. This challenge is because it is a relatively uncharted area, and there are many issues and complications during the implementation phase of an EHR. This can be seen in the numerous studies that have been undertaken. However, challenges in... |
Clinical decision support system : Gello Expression Language International Health Terminology Standards Development Organisation Medical algorithm Medical informatics Personal Health Information Protection Act (a law in force in Ontario) Treatment decision support (decision support tools for patients) Artificial intell... |
Clinical decision support system : Duodecim EBMEDS Clinical Decision Support Decision support chapter from Coiera's Guide to Health Informatics OpenClinical Archived 2 February 2020 at the Wayback Machine maintains an extensive archive of Artificial Intelligence systems in routine clinical use. Robert Trowbridge/ Scott... |
CloudSight : CloudSight, Inc. is a Los Angeles, California–based technology company that specializes in captioning and understanding images using AI. |
CloudSight : CloudSight was founded in 2012 by Dominik Mazur and Bradford Folkens. It was previously known as Image Searcher, Inc. and then CamFind, Inc., respectively. In 2016, the company was officially rebranded as CloudSight, Inc. As of August 2022, CloudSight has 15+ granted patents for its technology and has reco... |
Content-based image retrieval : Content-based image retrieval, also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see... |
Content-based image retrieval : An image meta search requires humans to have manually annotated images by entering keywords or metadata in a large database, which can be time-consuming and may not capture the keywords desired to describe the image. The evaluation of the effectiveness of keyword image search is subjecti... |
Content-based image retrieval : The term "content-based image retrieval" seems to have originated in 1992 when it was used by Japanese Electrotechnical Laboratory engineer Toshikazu Kato to describe experiments into automatic retrieval of images from a database, based on the colors and shapes present. Since then, the t... |
Content-based image retrieval : The interest in CBIR has grown because of the limitations inherent in metadata-based systems, as well as the large range of possible uses for efficient image retrieval. Textual information about images can be easily searched using existing technology, but this requires humans to manually... |
Content-based image retrieval : Many CBIR systems have been developed, but as of 2006, the problem of retrieving images on the basis of their pixel content remains largely unsolved. Different query techniques and implementations of CBIR make use of different types of user queries. |
Content-based image retrieval : The most common method for comparing two images in content-based image retrieval (typically an example image and an image from the database) is using an image distance measure. An image distance measure compares the similarity of two images in various dimensions such as color, texture, s... |
Content-based image retrieval : Like other tasks in computer vision such as recognition and detection, recent neural network based retrieval algorithms are susceptible to adversarial attacks, both as candidate and the query attacks. It is shown that retrieved ranking could be dramatically altered with only small pertur... |
Content-based image retrieval : Measures of image retrieval can be defined in terms of precision and recall. However, there are other methods being considered. |
Content-based image retrieval : An image is retrieved in CBIR system by adopting several techniques simultaneously such as Integrating Pixel Cluster Indexing, histogram intersection and discrete wavelet transform methods. |
Content-based image retrieval : Potential uses for CBIR include: Architectural and engineering design Art collections Crime prevention Geographical information and remote sensing systems Intellectual property Medical diagnosis Military Photograph archives Retail catalogs Nudity-detection filters Face Finding Textiles I... |
Content-based image retrieval : Document classification GazoPa Image retrieval List of CBIR engines Macroglossa Visual Search MPEG-7 Multimedia information retrieval Multiple-instance learning Nearest neighbor search Learning to rank |
Content-based image retrieval : Alkhazraj, Huthaefa (2017-08-09). "study for constant-based image relative :A Review". IET Image Processing. IEEE (image processing). ISSN 1751-9659. Retrieved 2019-01-22. - the original article IJMIR many CBIR-related articles Search by Drawing Demonstration of a visual search engine fo... |
Context-sensitive user interface : A context-sensitive user interface offers the user options based on the state of the active program. Context sensitivity is ubiquitous in current graphical user interfaces, often in context menus. A user-interface may also provide context sensitive feedback, such as changing the appea... |
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