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Joëlle Pineau
Joëlle Pineau (born 1974) is a Canadian computer scientist and Associate Professor at McGill University. She was the global vice president of Facebook Artificial Intelligence Research (FAIR), now known as AI at Meta, until May 2025, and is based in Montreal, Quebec. She was elected to the Fellow of the Royal Society of Canada in 2023. Early life and education Pineau was born in 1974 in Ottawa, Ontario. She played the viola in the Ottawa Symphony Orchestra. She eventually studied engineering at the University of Waterloo. During that time, she helped train a voice recognition system for helicopter pilots; when no female pilots were available, Pineau sat in the cockpit to record voices for the system, simulating typical pilot stress levels. Her first job was at Canada's Ministry of Natural Resources, where she developed models focused on solar energy applications in aquaculture. She then completed her postgraduate education in robotics at Carnegie Mellon University in 2004. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Canada Science And Technology Museum
The Canada Science and Technology Museum (abbreviated as CSTM; ) is a national museum of science and technology in Ottawa, Ontario, Canada. The museum has a mandate to preserve and promote the country's scientific and technological heritage. The museum is housed in a building. The museum is operated by Ingenium, a Crown corporation that also operates two other national museums of Canada. The museum originated as the science and technology branch of the defunct National Museum of Canada. The branch opened its own building in 1967, and subsequently became its own institution in 1968, named the National Museum of Science and Technology. The museum adopted its current name in 2000. The museum's building underwent significant renovations from 2014 to 2017, which saw most of the original structure renovated. The museum's collection contains over 20,000 artifact lots with 60,000 individual objects, some of which are on display in the museum's exhibitions. The museum also hosts and organ ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Speech Recognition
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. The reverse process is speech synthesis. Some speech recognition systems require "training" (also called "enrollment") where an individual speaker reads text or isolated vocabulary into the system. The system analyzes the person's specific voice and uses it to fine-tune the recognition of that person's speech, resulting in increased accuracy. Systems that do not use training are called "speaker-independent" systems. Systems that use training are called "speaker dependent". Speech recognition applications include voice user interfaces ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computer Vision
Computer vision tasks include methods for image sensor, acquiring, Image processing, processing, Image analysis, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation of visual images (the input to the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. The scientific discipline of computer vision is concerned with the theory behind artificial systems that extract information from images. Image data can take many forms, such as video sequences, views from multiple cameras, multi-dimensional data from a 3D scanning, 3D scanner, 3D point clouds ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Deep Learning
Deep learning is a subset of machine learning that focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data. The adjective "deep" refers to the use of multiple layers (ranging from three to several hundred or thousands) in the network. Methods used can be either supervised, semi-supervised or unsupervised. Some common deep learning network architectures include fully connected networks, deep belief networks, recurrent neural networks, convolutional neural networks, generative adversarial networks, transformers, and neural radiance fields. These architectures have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Reinforcement Learning
Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal. Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs from supervised learning in not needing labelled input-output pairs to be presented, and in not needing sub-optimal actions to be explicitly corrected. Instead, the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge) with the goal of maximizing the cumulative reward (the feedback of which might be incomplete or delayed). The search for this balance is known as the exploration–exploitation dilemma. The environment is typically stated in the form of a Markov decision process (MDP), as many reinforcement learning algorithms use dyn ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Meta AI
Meta AI is a research division of Meta (formerly Facebook) that develops artificial intelligence and augmented reality technologies. History The foundation of laboratory was announced in 2013, under the name Facebook Artificial Intelligence Research (FAIR). FAIR has workspaces in Menlo Park, California, London, United Kingdom, and Manhattan. FAIR was first directed by New York University's Yann LeCun, a deep learning professor and Turing Award winner. Working with NYU's Center for Data Science, FAIR's initial goal was to research data science, machine learning, and artificial intelligence. Vladimir Vapnik, a pioneer in statistical learning, joined FAIR in 2014. FAIR opened a research center in Paris, France in 2015, and subsequently launched smaller satellite research labs in Seattle, Pittsburgh, Tel Aviv, Montreal and London. In 2016, FAIR partnered with Google, Amazon, IBM, and Microsoft in creating the Partnership on Artificial Intelligence to Benefit People and Society ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Journal Of Machine Learning Research
The ''Journal of Machine Learning Research'' is a peer-reviewed open access scientific journal covering machine learning. It was established in 2000 and the first editor-in-chief was Leslie Kaelbling. The current editors-in-chief are Francis Bach (Inria) and David Blei (Columbia University). History The journal was established as an open-access alternative to the journal ''Machine Learning''. In 2001, forty editorial board members of ''Machine Learning'' resigned, saying that in the era of the Internet, it was detrimental for researchers to continue publishing their papers in expensive journals with pay-access archives. The open access model employed by the ''Journal of Machine Learning Research'' allows authors to publish articles for free and retain copyright, while archives are freely available online. Print editions of the journal were published by MIT Press until 2004 and by Microtome Publishing thereafter. From its inception, the journal received no revenue from the pr ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Journal Of Artificial Intelligence Research
The ''Journal of Artificial Intelligence Research'' (''JAIR'') is an open access peer-reviewed scientific journal covering research in all areas of artificial intelligence. History It was established in 1993 as one of the first scientific journals distributed online. Paper volumes are printed by the AAAI Press. The Journal for Artificial Intelligence Research (JAIR) is one of the premier publication venues in artificial intelligence. JAIR also stands out in that, since its launch in 1993, it has been 100% open-access and non-profit. Content The Journal of Artificial Intelligence Research (JAIR) is dedicated to the rapid dissemination of important research results to the global artificial intelligence (AI) community. The journal's scope encompasses all areas of AI, including agents and multi-agent systems, automated reasoning, constraint processing and search, knowledge representation, machine learning, natural language, planning and scheduling, robotics and vision, and unce ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Deep Learning
Deep learning is a subset of machine learning that focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data. The adjective "deep" refers to the use of multiple layers (ranging from three to several hundred or thousands) in the network. Methods used can be either supervised, semi-supervised or unsupervised. Some common deep learning network architectures include fully connected networks, deep belief networks, recurrent neural networks, convolutional neural networks, generative adversarial networks, transformers, and neural radiance fields. These architectures have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Artificial Intelligence
Artificial intelligence (AI) is the capability of computer, computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to machine perception, perceive their environment and use machine learning, learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon (company), Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Amazon Alexa, Alexa); autonomous vehicles (e.g., Waymo); Generative artificial intelligence, generative and Computational creativity, creative tools (e.g., ChatGPT and AI art); and Superintelligence, superhuman play and analysis in strategy games (e.g., ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Royal Society Of Canada
The Royal Society of Canada (RSC; , SRC), also known as the Academies of Arts, Humanities, and Sciences of Canada (French: ''Académies des arts, des lettres et des sciences du Canada''), is the senior national, bilingual council of distinguished Canadian scholars, humanists, scientists, and artists. The primary objective of the RSC is to promote learning and research in the arts, the humanities, and the sciences. The RSC is Canada's national academy. It promotes Canadian research and scholarly accomplishment in both official languages, recognizes academic and artistic excellence, and advises governments, non-governmental organizations, and Canadians on matters of public interest. History In the late 1870s, the Governor General of Canada, John Campbell, 9th Duke of Argyll, John Campbell, Marquis of Lorne, determined that Canada required a cultural institution to promote national scientific research and development. Since that time, succeeding governors general have remained invol ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Canadian Institute For Advanced Research
The Canadian Institute for Advanced Research (CIFAR) is a Canadian-based global research organization that brings together teams of top researchers from around the world to address important and complex questions. It was founded in 1982 and is supported by individuals, foundations and corporations, as well as funding from the Government of Canada and the provinces of Alberta and Quebec. Operations CIFAR staff supports more than 400 researchers from 21 countries and more than 140 institutions. Approximately half of the researchers are based in Canada and half are located abroad. The President and CEO is directly responsible to the Chair and the Board of Directors, who are responsible for funding allocation and approval of research programs. In November 2022, Stephen Toope became president and CEO. Irfhan Rawji is the chair of CIFAR's Board of Directors. Jacqueline Koerner and Anne McLellan serve as co-vice chairs. CIFAR receives funding from a blend of governments, partnerships ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
