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The DARPA PAL program (the Personalized Assistant that Learns) focused on improving the way that computers support humans through the use of cognitive systems-that is, systems that reason, learn from experience, and accept guidance in order to provide effective, personalized assistance. SRI International has led the PAL Framework effort to make available many of the successful machine learning and reasoning technologies developed on the PAL program for use by the broader DARPA, research, and military communities. Technical capabilities within the framework have been hardened, modularized, packaged, and where appropriate, adapted to meet industry standards to facilitate their incorporation into potential target applications. The framework further includes various infrastructure components and APIs to simplify integration with the framework technologies.

The modern definition of artificial intelligence (or AI) is "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions which maximizes its chances of success.[1] John McCarthy, who coined the term in 1956,[2] defines it as "the science and engineering of making intelligent machines."[3] Other names for the field have been proposed, such as computational intelligence,[4] synthetic intelligence[4][5] or computational rationality.[6] The term artificial intelligence is also used to describe a property of machines or programs: the intelligence that the system demonstrates.

The journal serves as a forum favoring the dissemination of interdependent and interdisciplinary research involved in information retrieval, database, human-machine communication and artificial intelligence. The recent developments in these fields call for cross-discipline collaborations and perspectives. The I3 journal intends to promote inter-disciplinarity working at the development of common terminology, concepts, typologies, methods and ontologies and aiming at the identification of a unified perspective on research issues. The journal is disseminated both as a traditional paper publication (published by Cépaduès http://www.cepadues.com/) and as an electronic journal on the web (http://www.journal-i3.org/).

"MusicGraph.ai is the first web-based graph analytics and intelligence engine for the music industry. The platform gives MusicGraph API users access to a comprehensive library of powerful algorithms that can be leveraged to extract even more value from the world's most extensive repository of music data. It's also fully integrated with MusicGraph allowing users to view all the relevant metrics surrounding API usage."

"MusicGraph.ai is the first web-based graph analytics and intelligence engine for the music industry. The platform gives MusicGraph API users access to a comprehensive library of powerful algorithms that can be leveraged to extract even more value from the world's most extensive repository of music data. It's also fully integrated with MusicGraph allowing users to view all the relevant metrics surrounding API usage."

The Association for the Advancement of Artificial Intelligence (AAAI) (formerly the American Association for Artificial Intelligence) is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. AAAI also aims to increase public understanding of artificial intelligence, improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions.

START, the world's first Web-based question answering system, has been on-line and continuously operating since December, 1993. It has been developed by Boris Katz and his associates of the InfoLab Group at the MIT Computer Science and Artificial Intelligence Laboratory. Unlike information retrieval systems (e.g., search engines), START aims to supply users with "just the right information," instead of merely providing a list of hits. Currently, the system can answer millions of English questions about places (e.g., cities, countries, lakes, coordinates, weather, maps, demographics, political and economic systems), movies (e.g., titles, actors, directors), people (e.g., birth dates, biographies), dictionary definitions, and much, much more. Below is a list of some of the things START knows about, with example questions. You can type your question above or select from the following examples.

Putting the power of Machine Learning in your hands. Our goal is to make machine learning simple and beautiful. Our service can take the complexities out of creating a high-availability, low-latency Machine Learning system created especially for your data. You will not only gain valuable insights from your data, you will most likely enjoy it. From the developer, to the researcher, to the multinational corporation, BigML has something that can uncover the hidden predictive power of your data. BigML wants to make you the master of your data.

The DARPA Agent Markup Language (DAML) Program officially began in August 2000. The goal of the DAML effort is to develop a language and tools to facilitate the concept of the Semantic Web. Michael Pagels is the DARPA Program Manager for DAML. The DAML program will end in early 2006.

"n this notebook, we will employ the Elo rating system to evaluate the performance of large language models (LLMs). The analysis is based on the pairwise battle results we collected from https://arena.lmsys.org between April 24 and July 17, 2023. This crowdsourcing way of data collection represents some use cases of LLMs in the wild. Below, we present the calculation procedure along with some basic analyses. To view the latest leaderboard, see https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard."

Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents"[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy, who coined the term in 1956,[3] defines it as "the science and engineering of making intelligent machines."[4]

website is dedicated to the editorial and author-support activities of the journal 'Artificial Intelligence', usually referred to as the AIJ. It does not document the publisher's activities (but see the link to Elsevier's website at the top right of this page, "AIJ@Elsevier").

"In this era of fears that Artificial Intelligence will destroy humanity, SARA is a Socially-Aware Robot Assistant that interacts with people in a whole new way, personalizing the interaction and improving task performance by relying on information about the relationship between the human user and virtual assistant. Rather than taking the place of people, Sara is programmed to collaborate with her human users. Rather than ignoring the socio-emotional bonds that form the fabric of society, Sara depends on those bonds to improve her collaboration skills."

The objective of INSEMTIVES is to bridge the gap bet­ween human and computational intell­igence in the current semantic content authoring R&D land­scape. The project aims at pro­ducing metho­dologies, methods and tools that enable the massive creation and feasible manage­ment of semantic cont­ent in order to facilitate the world-­wide up­take of semantic tech­nologies.

The Oycib infrastructure is based in the ethnographic observation model based agents called e-Xploration. The infrastructure allows the analysis, interpretation and visualization of profiles and digital practices. Furthermore, we propose work in the context-awareness to enhance the collaboration and cooperation among people and groups.

Researchers at Stanford University in the US have developed new sensors that can be adhered to the skin for wireless monitoring of health. The sensors are designed to identify the physiological signals that the skin emanates, such as pulse. These readings will be wirelessly transmitted to a receiver clipped onto clothing. The sensor and receiver system has been named BodyNet.

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importan

"Our mission is to ease the use of human languages by machines and to improve solutions that benefit from language use. We conduct advanced research in language technology and provide novel computational techniques for processing text, speech and knowledge. We strive for a deeper understanding of human language and thought, studying the true needs of the end user and the demands of the market."

Ai Research is a leading artificial intelligence research project. At Ai, we're creating a new form of life. Our expanding web site is an essential part of the emerging global discussion about artificial intelligence. On this website, we showcase the state of the art in pattern-matching conversational machines, demonstrated by Alan, and in reinforcement learning algorithms, demonstrated by HAL. Use our forums, original papers, online labs, demos and links to explore what's happening both at Ai (the project) and in AI (the field).

"Our mission is to preserve your brain well enough to keep all its memories intact: from that great chapter of your favorite book to the feeling of cold winter air, baking an apple pie, or having dinner with your friends and family. If memories can truly be preserved by a sufficiently good brain banking technique, we believe that within the century it could become feasible to digitize your preserved brain and use that information to recreate your mind. How close are we to this possibility? Currently, we can preserve the connectomes of animal brains and are working on extending our techniques to human brains in a research context. This is an important first step towards the development of a verified memory preservation protocol, as the connectome plays a vital role in memory storage."

"Webbrain is an initiative to develop an emergent AI using the infrastructure provided by the internet. The brain is a marvelous biological machine. With billions of neurons and trillions of connections, it provides the substrate from which our behaviours emerge. Our brain can help us move in multitudes of environments, set goals, solve practical and abstract problems, use languages, vision or pattern matching. Could we use computers on the Internet to create a global thinking machine with similar capabilities?"