text stringlengths 12 14.7k |
|---|
Seeing AI : Seeing AI is primarily used to describe short text, documents, products, people, currency scenery, colors, handwriting and light. The app can scan a barcode to describe a product and uses sounds to assist the user in focusing on the barcode. When the app describes people, it attempts to estimate the person'... |
Tabnine : Tabnine is a code completion tool which uses generative artificial intelligence to assist users by autocompleting code. It was created in 2018 by Jacob Jackson, a student at the University of Waterloo. It is now developed by Tabnine, a software company founded under the name Codota by Dror Weiss and Eran Yaha... |
Tabnine : Tabnine was established as Codota in 2013 by Dror Weiss and Eran Yahav in Tel Aviv, Israel. Tabnine, initially founded under the name Codota, was created to offer developer productivity tools based on over a decade of academic research at the Technion. Codota's platform emulated human understanding of code, a... |
Tabnine : Tabnine's headquarters is located in Tel Aviv, Israel, with an additional corporate entity in the United States. The company employs individuals from various countries, including the US, the UK, Ireland, and Poland, among others. Tabnine generative AI for software development is used by 1,000,000 developers. ... |
Tabnine : Tabnine is an AI coding assistant designed to be under the control of an engineering team. It helps development teams use AI to accelerate and simplify the software development process with a focus on privacy, security, and license compliance. Tabnine allows automating the coding workflow through AI tools cus... |
Tabnine : GitHub Copilot Microsoft Copilot == References == |
VP-Expert : VP-Expert is an artificial intelligence development tool that gained popularity in the 1980s and 1990s. Published by Paperback Software, VP-Expert was designed to facilitate the creation of rule-based expert systems, primarily for applications in business and industry. VP-Expert was created by Brian Sawyer.... |
VP-Expert : VP-Expert emerged during a period of significant activity surrounding artificial intelligence, particularly expert systems. Expert systems aimed to capture and replicate human expertise in specific domains, enabling computers to solve problems, make decisions, and provide advice in a manner similar to human... |
VP-Expert : VP-Expert incorporated several features that supported the development and deployment of expert systems: Rule-Based Reasoning: VP-Expert utilized a rule-based inference engine to process knowledge represented as IF-THEN rules. Backward Chaining: The system primarily employed backward chaining, a goal-driven... |
VP-Expert : VP-Expert found applications across various domains, including: Engineering and Aviation: Environmental Analysis: Researchers used VP-Expert to develop a knowledge-based system for analyzing the impact of particulate matter air pollution on human health. Engineering Design: VP-Expert was utilized in the cre... |
VP-Expert : While VP-Expert offered certain advantages, it also had limitations: Scalability: Its rule-based approach could become challenging to manage for large and complex knowledge bases. Knowledge Acquisition Bottleneck: The process of eliciting and encoding knowledge from experts could be time-consuming and diffi... |
WordDive : WordDive is an AI-based online language learning software and mobile application. Ten languages are currently offered: English, Estonian, Finnish, French, German, Italian, Japanese, Russian, Spanish and Swedish. |
WordDive : The method is based on the use of multiple senses, individual optimization and game-like elements. With the individual optimization feature, the course is modified based on the user's learning ability. |
WordDive : WordDive has been awarded as the Best e-Learning Solution in Finland, 2011, as well as the Best Mobile Service in Finland, 2014. In spring 2015, WordDive was selected as a Red Herring Europe Top 100 winner. In November 2018 WordDive was certified for pedagogical quality by Education Alliance Finland, a teach... |
WordDive : The company is based in Tampere, Finland. The service was launched in 2010. In 2020, the platform had 850,000 users in 150 countries. In Finland and Germany WordDive is best known for its English prep course. In Germany, the company is working together with brand ambassador Samu Haber, the frontman of the ba... |
WordDive : Official website |
Affective computing : Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While some core ideas in the field may be traced as far back as... |
Affective computing : In psychology, cognitive science, and in neuroscience, there have been two main approaches for describing how humans perceive and classify emotion: continuous or categorical. The continuous approach tends to use dimensions such as negative vs. positive, calm vs. aroused. The categorical approach t... |
Affective computing : Within the field of human–computer interaction, Rosalind Picard's cognitivist or "information model" concept of emotion has been criticized by and contrasted with the "post-cognitivist" or "interactional" pragmatist approach taken by Kirsten Boehner and others which views emotion as inherently soc... |
Affectiva : Affectiva is an artificial intelligence software development company. In 2021, the company was acquired by SmartEye. The company claimed its AI understood human emotions, cognitive states, activities and the objects people use, by analyzing facial and vocal expressions. The offshoot of MIT Media Lab, Affect... |
Affectiva : Affectiva was co-founded by Rana el Kaliouby, who became chief executive officer as of May 25, 2016, and Rosalind W. Picard, who worked as chairman and Chief Scientist until 2013. Both of Affectiva's early products grew out of collaborative research at the MIT's Media Lab to help people on the autism spectr... |
Affectiva : The company has expanded its Emotion AI technology to detect more than facial expressions, reactions and emotions. Affectiva's software detects complex and nuanced emotions, cognitive states, such as drowsiness and distraction, certain activities and the objects people use. It does that by analyzing the hum... |
Affectiva : In June 2021 Smart Eye acquired Affectiva. |
Affectiva : Affective science |
Affectiva : Affectiva Market Research Demo |
Artificial empathy : Artificial empathy or computational empathy is the development of AI systems—such as companion robots or virtual agents—that can detect emotions and respond to them in an empathic way. Although such technology can be perceived as scary or threatening, it could also have a significant advantage over... |
Artificial empathy : There are a variety of philosophical, theoretical, and applicative questions related to artificial empathy. For example: Which conditions would have to be met for a robot to respond competently to a human emotion? What models of empathy can or should be applied to Social and Assistive Robotics? Mus... |
Artificial empathy : People often communicate and make decisions based on inferences about each other's internal states (e.g., emotional, cognitive, and physical states) that are in turn based on signals emitted by the person such as facial expression, body gesture, voice, and words. Broadly speaking, artificial empath... |
Artificial empathy : Although artificial intelligence cannot yet replace social workers themselves, the technology has been deployed in that field. Florida State University published a study about Artificial Intelligence being used in the human services field. The research used computer algorithms to analyze health rec... |
Artificial empathy : Artificial human companion Artificial intelligence § Social intelligence Blade Runner / Do Androids Dream of Electric Sheep? Case-based reasoning Commonsense reasoning Emotion recognition Facial recognition system Glossary of artificial intelligence Human–robot interaction Pepper (robot) Soft compu... |
Emotion Markup Language : An Emotion Markup Language (EML or EmotionML) has first been defined by the W3C Emotion Incubator Group (EmoXG) as a general-purpose emotion annotation and representation language, which should be usable in a large variety of technological contexts where emotions need to be represented. Emotio... |
Emotion Markup Language : In 2006, a first W3C Incubator Group, the Emotion Incubator Group (EmoXG), was set up "to investigate a language to represent the emotional states of users and the emotional states simulated by user interfaces" with the final Report published on 10 July 2007. In 2007, the Emotion Markup Langua... |
Emotion Markup Language : A standard for an emotion markup language would be useful for the following purposes: To enhance computer-mediated human-human or human-machine communication. Emotions are a basic part of human communication and should therefore be taken into account, e.g. in emotional Chat systems or emphatic... |
Emotion Markup Language : Any attempt to standardize the description of emotions using a finite set of fixed descriptors is doomed to failure, as there is no consensus on the number of relevant emotions, on the names that should be given to them or how else best to describe them. For example, the difference between ":)... |
Emotion Markup Language : There are a range of existing projects and applications to which an emotion markup language will enable the building of webservices to measure capture data of individuals non-verbal behavior, mental states, and emotions and allowing results to be reported and rendered in a standardized format ... |
Emotion Markup Language : Affect display Autism friendly Human Markup Language == References == |
Emotion-sensitive software : Emotion-sensitive software (ESS) is software specifically designed to target and monitor emotional response in a human being. Some software measures anger by comparing the pitch of a voice to a regular, or calm, pitch. Another approach is the measurement of physical appearance. If a camera ... |
OpenSMILE : openSMILE is source-available software for automatic extraction of features from audio signals and for classification of speech and music signals. "SMILE" stands for "Speech & Music Interpretation by Large-space Extraction". The software is mainly applied in the area of automatic emotion recognition and is ... |
OpenSMILE : openSMILE is used for academic research as well as for commercial applications in order to automatically analyze speech and music signals in real-time. In contrast to automatic speech recognition which extracts the spoken content out of a speech signal, openSMILE is capable of recognizing the characteristic... |
OpenSMILE : The openSMILE project was started in 2008 by Florian Eyben, Martin Wöllmer, and Björn Schuller at the Technical University of Munich within the European Union research project SEMAINE. The goal of the SEMAINE project was to develop a virtual agent with emotional and social intelligence. In this system, open... |
OpenSMILE : openSMILE was awarded in 2010 in the context of the ACM Multimedia Open Source Competition. The software tool is applied in numerous scientific publications on automatic emotion recognition. openSMILE and its extension openEAR have been cited in more than 1000 scientific publications until today. |
OpenSMILE : openSMILE website openSMILE on GitHub openSMILE documentation Google Scholar page on openSMILE Google Scholar page on openEAR Article on startupvalley.com |
Kuaishou : Kuaishou Technology (Chinese: 快手; lit. 'quick hand') is a Chinese publicly traded partly state-owned holding company based in Haidian District, Beijing, that was founded in 2011 by Hua Su (宿华) and Cheng Yixiao (程一笑). The company is known for developing a mobile app for sharing users' short videos, a social n... |
Kuaishou : Kuaishou is China's first short video platform that was developed in 2011 by engineer Hua Su and Cheng Yixiao. Prior to co-founding Kuaishou, Su Hua had worked for both Google and Baidu as a software engineer. The company is headquartered in Haidian District, Beijing. Kuaishou's predecessor "GIF Kuaishou" wa... |
Kuaishou : Compared to its main short video platform competitor Douyin, Kuaishou is more popular with older users who live outside China's Tier 1 cities. Its initial popularity came from videos of Chinese rural life. Kuaishou also relied more on e-commerce revenue than on advertising revenue compared to its main compet... |
Kuaishou : List of Kuaishou original programming List of content platforms by monthly active users |
Kuaishou : Official website |
Text-to-image model : A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks. In... |
Text-to-image model : Before the rise of deep learning, attempts to build text-to-image models were limited to collages by arranging existing component images, such as from a database of clip art. The inverse task, image captioning, was more tractable, and a number of image captioning deep learning models came prior to... |
Text-to-image model : Text-to-image models have been built using a variety of architectures. The text encoding step may be performed with a recurrent neural network such as a long short-term memory (LSTM) network, though transformer models have since become a more popular option. For the image generation step, conditio... |
Text-to-image model : Training a text-to-image model requires a dataset of images paired with text captions. One dataset commonly used for this purpose is the COCO dataset. Released by Microsoft in 2014, COCO consists of around 123,000 images depicting a diversity of objects with five captions per image, generated by h... |
Text-to-image model : Evaluating and comparing the quality of text-to-image models is a problem involving assessing multiple desirable properties. A desideratum specific to text-to-image models is that generated images semantically align with the text captions used to generate them. A number of schemes have been devise... |
Text-to-image model : Artificial intelligence art Text-to-video model == References == |
Adobe Firefly : Adobe Firefly is a web app and family of generative artificial intelligence models for creative production. Its capabilities include text-to-image and text-to-video. It is part of Adobe Creative Cloud, and also powers features in other Creative Cloud apps, including Photoshop's Generative Fill tool. Its... |
Adobe Firefly : Adobe Firefly was first announced in September 2022 at Adobe's MAX conference. It was initially released as a public beta in March 2023, and is currently available to all Adobe Creative Cloud subscribers. Adobe Firefly is built on top of Adobe Sensei, the company's AI platform. Sensei has been used to p... |
DreamBooth : DreamBooth is a deep learning generation model used to personalize existing text-to-image models by fine-tuning. It was developed by researchers from Google Research and Boston University in 2022. Originally developed using Google's own Imagen text-to-image model, DreamBooth implementations can be applied ... |
DreamBooth : Pretrained text-to-image diffusion models, while often capable of offering a diverse range of different image output types, lack the specificity required to generate images of lesser-known subjects, and are limited in their ability to render known subjects in different situations and contexts. The methodol... |
DreamBooth : DreamBooth can be used to fine-tune models such as Stable Diffusion, where it may alleviate a common shortcoming of Stable Diffusion not being able to adequately generate images of specific individual people. Such a use case is quite VRAM intensive, however, and thus cost-prohibitive for hobbyist users. Th... |
DreamBooth : DreamBooth on GitHub.io DreamBooth on Stable Diffusion |
HeyGen : HeyGen is a generative artificial intelligence company that creates photo-realistic avatars via user-submitted photos and videos as well as a library of pre-made avatars and voices. The digital avatar can recite prompts in multiple languages. When submitting content to be used in the generation of a video, use... |
HeyGen : HeyGen (originally named Surreal, later rebranded from Movio) was founded by Joshua Xu and Wayne Liang in 2020. HeyGen established its headquarters in Los Angeles in 2022. The company initially raised capital from investors including Sequoia China (now HongShan) and ZhenFund. The HeyGen app launched in Septemb... |
Google Brain : Google Brain was a deep learning artificial intelligence research team that served as the sole AI branch of Google before being incorporated under the newer umbrella of Google AI, a research division at Google dedicated to artificial intelligence. Formed in 2011, it combined open-ended machine learning r... |
Google Brain : The Google Brain project began in 2011 as a part-time research collaboration between Google fellow Jeff Dean and Google Researcher Greg Corrado. Google Brain started as a Google X project and became so successful that it was graduated back to Google: Astro Teller has said that Google Brain paid for the e... |
Google Brain : Google Brain was initially established by Google Fellow Jeff Dean and visiting Stanford professor Andrew Ng. In 2014, the team included Jeff Dean, Quoc Le, Ilya Sutskever, Alex Krizhevsky, Samy Bengio, and Vincent Vanhoucke. In 2017, team members included Anelia Angelova, Samy Bengio, Greg Corrado, Georg... |
Google Brain : Google Brain has received coverage in Wired, NPR, and Big Think. These articles have contained interviews with key team members Ray Kurzweil and Andrew Ng, and focus on explanations of the project's goals and applications. |
Google Brain : Artificial intelligence art Glossary of artificial intelligence List of artificial intelligence projects Noosphere Quantum Artificial Intelligence Lab – run by Google in collaboration with NASA and Universities Space Research Association == References == |
NovelAI : NovelAI is an online cloud-based, SaaS model, and a paid subscription service for AI-assisted storywriting and text-to-image synthesis, originally launched in beta on June 15, 2021, with the image generation feature being implemented later on October 3, 2022. NovelAI is owned and operated by Anlatan, which is... |
NovelAI : NovelAI uses GPT-based large language models (LLMs) to generate storywriting and prose. It has several models, such as Calliope, Sigurd, Euterpe, Krake, and Genji, with Genji being a Japanese-language model. The service also offers encrypted servers and customizable editors. For AI art generation, which gener... |
NovelAI : On April 28, 2021, Anlatan officially launched NovelAI. On June 15, 2021, Anlatan released their finetuned GPT-Neo-2.7B model from EleutherAI named Calliope, after the Greek Muses. A day later, they released their Opus-exclusive GPT-J-6B finetuned model named Sigurd, after the Norse/Germanic hero. On March 21... |
NovelAI : Following the implementation of image generation, NovelAI became a widely-discussed topic in Japan, with some online commentators noting that its image synthesis features are very adept at producing close impressions of anime characters, including lolicon and shotacon imagery, while others have expressed conc... |
NovelAI : On October 6, 2022, NovelAI experienced a data breach where its software's source code was leaked. |
NovelAI : AI Dungeon CHAI Character.ai DALL-E DreamBooth Midjourney Replika Stable Diffusion |
NovelAI : Media related to NovelAI at Wikimedia Commons Official website |
Prisma Labs : Prisma Labs is a software company based in Sunnyvale, California that is known for developing Prisma and Lensa. |
Prisma Labs : Prisma Labs was founded in 2016 by Andrey Usoltsev, Alexey Moiseenkov, and a team of Russian developers. Usoltsev is also the CEO. In 2016, the company launched the Prisma app, which uses artificial intelligence to duplicate photos in various artistic styles. In 2018, the company launched the Lensa AI app... |
Prisma Labs : Prisma Labs uses the Stable Diffusion generative engine to power the Lensa apps’s Magic Avatar feature. Stable Diffusion is open source and was trained on the LAION 5B dataset, which utilized 5.85 billion CLIP-filtered image-text pairs from Common Crawl to create the dataset. |
Prisma Labs : prisma-ai.com |
AlphaFold : AlphaFold is an artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. It is designed using deep learning techniques. AlphaFold 1 (2018) placed first in the overall rankings of the 13th Critical Assessment of Structure Predictio... |
AlphaFold : Proteins consist of chains of amino acids which spontaneously fold to form the three dimensional (3-D) structures of the proteins. The 3-D structure is crucial to understanding the biological function of the protein. Protein structures can be determined experimentally through techniques such as X-ray crysta... |
AlphaFold : DeepMind is known to have trained the program on over 170,000 proteins from the Protein Data Bank, a public repository of protein sequences and structures. The program uses a form of attention network, a deep learning technique that focuses on having the AI identify parts of a larger problem, then piece it ... |
AlphaFold : AlphaFold 2 scoring more than 90 in CASP's global distance test (GDT) is considered a significant achievement in computational biology and great progress towards a decades-old grand challenge of biology. Nobel Prize winner and structural biologist Venki Ramakrishnan called the result "a stunning advance on ... |
AlphaFold : Open access to source code of several AlphaFold versions (excluding AlphaFold 3) has been provided by DeepMind after requests from the scientific community. The source code of AlphaFold 3 was made available for non-commercial use to the scientific community upon request in November 2024. |
AlphaFold : The AlphaFold Protein Structure Database, a joint project between AlphaFold and EMBL-EBI, was launched on July 22, 2021. At launch, the database contained AlphaFold-predicted models for nearly the complete UniProt proteome of humans and 20 model organisms, totaling over 365,000 proteins. The database does n... |
AlphaFold : AlphaFold has various limitations: AlphaFold DB provides models of individual protein chains (monomers), rather than their biologically relevant complexes. Many protein regions are predicted with low confidence score, including the intrinsically disordered protein regions. Alphafold-2 was validated for pred... |
AlphaFold : AlphaFold has been used to predict structures of proteins of SARS-CoV-2, the causative agent of COVID-19. The structures of these proteins were pending experimental detection in early 2020. Results were reviewed by scientists at the Francis Crick Institute in the United Kingdom before being released to the ... |
AlphaFold : Andrew W. Senior et al. (December 2019), "Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)", Proteins: Structure, Function, Bioinformatics 87(12) 1141–1148 doi:10.1002/prot.25834 Andrew W. Senior et al. (15 January 2020... |
AlphaFold : Carlos Outeiral, CASP14: what Google DeepMind's AlphaFold 2 really achieved, and what it means for protein folding, biology and bioinformatics, Oxford Protein Informatics Group. (3 December) Mohammed AlQuraishi, AlphaFold2 @ CASP14: "It feels like one's child has left home." (blog), 8 December 2020 Mohammed... |
AlphaFold : AlphaFold-3 web server AlphaFold v2.1 code and links to model on GitHub Open access to protein structure predictions for the human proteome and 20 other key organisms at European Bioinformatics Institute (AlphaFold Protein Structure Database) CASP 14 website AlphaFold: The making of a scientific breakthroug... |
AlphaStar (software) : AlphaStar is an artificial intelligence (AI) software developed by DeepMind for playing the video game StarCraft II. It was unveiled to the public by name in January 2019. AlphaStar attained "Grandmaster" status in August 2019, a significant milestone not just for AI in video games, but arguably ... |
AlphaStar (software) : Games created for humans are considered to have external validity as benchmarks of progress in artificial intelligence. IBM's chess engine Deep Blue (1997) and DeepMind's AlphaGo (2016) were considered major milestones; some argue that StarCraft would also be a major milestone, due to the game's ... |
AlphaStar (software) : DeepMind Technologies was founded in the UK in 2010. As early as 2011, founder Demis Hassabis called StarCraft "the next step up" after games like Go. DeepMind became a subsidiary of Google in 2014, after demonstrating self-learning bots with superhuman ability at a variety of Atari 2600 games. I... |
AlphaStar (software) : Unlike AlphaZero, AlphaStar initially learns to imitate the moves of the best players in its database of human vs. human games; this step is necessary to solve what DeepMind's Dave Silver calls "the exploration problem": discovering new strategies would otherwise be like finding a "needle in a ha... |
AlphaStar (software) : After his 5-0 defeat in December 2018, Komincz stated "I wasn't expecting the AI to be that good". Stuart Russell assessed that AlphaStar's 2018 victory required "a fair amount of problem-specific effort" and that general-purpose methods were "not quite ready for StarCraft". An article in Wired U... |
AlphaStar (software) : DeepMind argues that insights from AlphaStar might benefit robots, self-driving cars, and virtual assistants, which need to operate with "imperfectly observed information". Silver has indicated his lab "may rest at this point", rather than try to substantially improve AlphaStar. Silver himself ar... |
AlphaStar (software) : AlphaZero OpenAI Five, a similar bot for Dota 2 Pluribus (poker bot) |
AlphaStar (software) : DeepMind StarCraft II Demonstration on YouTube |
Gato (DeepMind) : Gato is a deep neural network for a range of complex tasks that exhibits multimodality. It can perform tasks such as engaging in a dialogue, playing video games, controlling a robot arm to stack blocks, and more. It was created by researchers at London-based AI firm DeepMind. It is a transformer, like... |
Gato (DeepMind) : Matthew Sparkes (May 19, 2022), "Is DeepMind's Gato AI really a human-level intelligence breakthrough?", New Scientist |
David Silver (computer scientist) : David Silver (born 1976) is a principal research scientist at Google DeepMind and a professor at University College London. He has led research on reinforcement learning with AlphaGo, AlphaZero and co-lead on AlphaStar. |
David Silver (computer scientist) : He studied at Christ's College, Cambridge, graduating in 1997 with the Addison-Wesley award, and having befriended Demis Hassabis whilst at Cambridge. Silver returned to academia in 2004 at the University of Alberta to study for a PhD on reinforcement learning, where he co-introduced... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.