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The Artificial Intelligence Group at UCSD engages in a wide range of theoretical and experimental research. Areas of particular strength include machine learning, probabilistic inference, neural computation, and cognitive modeling. Within these areas, students and faculty also pursue real-world applications to problems in computer vision, speech and audio processing, information retrieval, bioinformatics, brain-computer interfaces, and computer systems and networking. The Artificial Intelligence Group is part of a larger campus-wide effort in Computational Statistics and Machine Learning (COSMAL). Interdisciplinary collaborations are strongly supported and encouraged.

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.

Computer Science is a branch of science that focuses on the theoretical and methodological implementation of computational based information processes and computer technologies in both hardware and software. Theoretical fields include such areas as information theory, database and information retrieval and programming language theory. Applied computer science features areas of study such as artificial intelligence, computer architecture, computer security and software engineering.

"Our mission is to organize the world's information and make it universally accessible and useful, and AI is enabling us to do that in incredible new ways - solving problems for our users, our customers, and the world. AI makes it easier for you to do things every day, whether it's searching for photos of people you love, breaking down language barriers, or helping you get things done with your own personal digital assistant. But it's also providing us with new ways of looking at old problems and helping transform how we work and live, and we think the biggest impact will come when everyone can access it."

Ozlo is an artificial intelligence (AI)-powered search company building a next generation AI platform and digital assistant. Our mission is to create an assistant that's available everywhere and knows (almost) everything, supporting you with daily decisions and tasks in every area of your life. Ozlo is the first assistant that can combine data from multiple sources to answer questions. He gets you the best answer, no matter where it comes from. He can help you find things to do, places to go, and much more through a simple, conversational interface. Leveraging artificial intelligence, machine learning, and natural language processing, Ozlo is learning to understand a wide range of human goals, activities and the words and ideas that connect those things to help people find what they need the first time, every time

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/).

"Magenta is a Google Brain project to ask and answer the questions, "Can we use machine learning to create compelling art and music? If so, how? If not, why not?" Our work is done in TensorFlow, and we regularly release our models and tools in open source. These are accompanied by demos, tutorial blog postings and technical papers. To follow our progress, watch our GitHub and join our discussion group."

'From Copernicus Big Data to Extreme Earth Analytics Rapidly increasing volumes of diverse data from distributed sources create challenges for extracting valuable knowledge and commercial value from data. This calls for novel methods, approaches and engineering paradigms in analytics and data management. As the success will require not only efficient data processing and management, but also sufficient computing capacity and connectivity, a coordinated action with all related areas is necessary and will contribute to a European leadership in these areas.'

"Established to study and formulate best practices on AI technologies, to advance the public's understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society."

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.

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.

"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."

"Tay is an artificial intelligent chat bot developed by Microsoft's Technology and Research and Bing teams to experiment with and conduct research on conversational understanding. Tay is designed to engage and entertain people where they connect with each other online through casual and playful conversation. The more you chat with Tay the smarter she gets, so the experience can be more personalized for you."

"Alexa is the brain behind Amazon Echo, Echo Dot, Echo Plus, Echo Spot, Echo Show and other Alexa devices. Using Alexa is as simple as asking a question-just ask and Alexa will respond. Alexa updates through the cloud automatically and is continually learning, adding new functionality and skills. Here are some of the ways Alexa can make your life easier and more fun."

"Our AI-focused venture fund invests in and connects startups with Google's resources, innovation, and technical leadership in artificial intelligence. We bring Google smarts and scale to promising, early-stage startups, providing innovators with funding, resources, and dedicated access to world-class people and practices in this area. Our fund focuses on helping founders navigate the challenges in developing AI-based products, from leveraging training datasets to helping companies take advantage of the latest techniques, so that great ideas can come to life."

"Welcome to the website of the "Quantum AI Foundation"! We are a charity organization aiming to support education, research, development and collaboration in science and new technologies, especially Artificial Intelligence and Quantum Computing, but also other fields of Mathematics and Computer Science. The Foundation was founded on 20.11.2019 by Paweł Gora and it is registered in Poland. You can find more formal information on the website of the Polish court: https://ekrs.ms.gov."

ARCOE aims at bringing together researchers and practitioners from core areas of Artificial Intelligence (Knowledge Representation and Reasoning, Contexts, and Ontologies) to discuss these kinds of problems and relevant results.

International Journal of Emerging Trends in Computing and Information Sciences (E-ISSN 2218-6301/ ISSN 2079-8407) is an International refereed research publishing journal with a focused aim of promoting and publishing original high quality research dealing with theoretical and scientific aspects in all disciplines of Computing and Information Sciences.

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.

"The Berkeley Artificial Intelligence Research (BAIR) Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, and robotics. BAIR includes over two dozen faculty and more than a hundred graduate students pursuing research on fundamental advances in the above areas as well as cross-cutting themes including multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities."