Intelligent Environments are populated with numerous devices and have multiple occupants. They inherently exhibit increasingly intelligent behavior, support consistent functionality and human-centric operation (humans, as opposed to mere users, have increased requirements from a system, including, for example, intuitive interaction, protection of privacy, fault-tolerance, etc.), and provide optimized resource usage. The development of Intelligent Environments is considered the first and primary step towards the realization of the Ambient Intelligence vision and requires input from research and contributions from several scientific and engineering disciplines, including computer science, software engineering, artificial intelligence, architecture, social sciences, art and design. The series of IE conferences has been consistently creating a unique blend of researchers in these disciplines, fostering cross-disciplinary discussions, debate and collaborations. The 21st International Conference on Intelligent Environments was held on June 23–26, 2025, in Darmstadt (Germany).

Juan Carlos Augusto, Philippe Lalanda, Massimo Mecella Intelligent Environments are populated with numerous devices and have multiple occupants, inherently exhibit increasingly intelligent behaviour, support consistent functionality and human-centric operation (humans, as opposed to mere users, have increased requirements from a system, including, for example, intuitive interaction, protection of privacy, fault-tolerance etc.), and provide optimized resource usage. The development of Intelligent Environments is considered the first and primary step towards the realization of the Ambient Intelligence vision and requires input from research and contributions from several scientific and engineering disciplines, including computer science, software engineering, artificial intelligence, architecture, social sciences, art and design. The series of IE conferences have been consistently creating a unique blend of researchers in these disciplines, fostering cross-disciplinary discussions, debate and collaborations.

Rapid advances in artificial intelligence (AI) and other technologies are accelerating the creation of intelligent enterprises and enabling companies to integrate themselves into people's lives, according to Accenture Technology Vision 2018, the annual technology report from Accenture that predicts key technology trends likely to disrupt business over the next three years. However, capitalizing on growth opportunities while also having a positive impact on society requires a new era of leadership that prioritizes trust and greater responsibility. This year's report, "Intelligent Enterprise Unleashed: Redefine Your Company Based on the Company You Keep," highlights how rapid advancements in technologies -- including artificial intelligence (AI), advanced analytics and the cloud -- are enabling companies to not just create innovative products and services, but change the way people work and live. This, in turn, is changing companies' relationships with their customers, employeesand business partners. As part of the Technology Vision, Accenture surveyed more than 6,300 business and IT executives worldwide.

This article presents a report of the conference. For example, such technology can lead to design of environments that are more secure, productive, caring, entertaining, or energy efficient. The development of intelligent environments is considered the first and primary step toward the realization of the ambient intelligence vision and requires input from research and contributions from several scientific and engineering disciplines, including computer science, software engineering, artificial intelligence, architecture, social sciences, art, and design. IE conferences create a unique blend of researchers in these disciplines and foster crossdisciplinary discussions, debate, and collaborations. The Sixth International Conference on Intelligent Environments (IE 10) was held July 19-21 at the Sunway campus of Monash University, Kuala Lumpur, Malaysia.

The topics of the eight symposia were (1) Applying Machine Learning to Discourse Processing, (2) Integrating Robotic Research: Taking the Next Leap, (3) Intelligent Environments, (4) Intelligent Text Summarization, (5) Interactive and Mixed-Initiative Decision-Theoretic Systems, (6) Multimodal Reasoning, (7) Prospects for a Common-Sense Theory of Causation, and (8) Satisficing Models. In addition, two tutorials provided an overview of various machine-learning techniques and how some have been applied to other areas of NLP. During the discussion and panel sessions, a number of open problems were raised. There was much discussion on the availability of annotated corpora in the public domain to facilitate the application of supervised machine-learning techniques and allow the comparison of results obtained using different learning approaches. The American Association for Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, held the 1998 Spring Symposium Series on 23 to 25 March at Stanford University.

The Fourth IET International Conference on Intelligent Environments was held July 21-22 at the University of Washington campus in Seattle, Washington. The general chairs were Diane Cook of Washington State University and Sumi Helal of the University of Florida. Hani Hagras and Vic Callaghan of the University of Essex served as program chairs. This article presents a report of the conference. The conference aims at contributing to the realization of the ambient intelligence vision, where physical space becomes augmented with computation, communication, and digital content, thus transcending the limits of direct human perception.

The development of intelligent environments is considered an important step toward the realization of the ambient intelligence vision. Intelligent environments are technologically augmented everyday spaces that intuitively support human activity. The IE conferences traditionally provide a leading-edge forum for researchers and engineers to present their latest research and to discuss future directions in the area of intelligent environments. This article briefly presents the content of the Fifth International Conference on Intelligent Environments (IE09), which was held July 20-21 at the Castelldefels campus of the Technical University of Catalonia near Barcelona, Spain. The general chairs were Dolors Royo, Angelica Reyes, and Leandro Navarro of the Technical University of Catalonia.

The Seventh International Conference on Intelligent Environments (IE11) was held July 25-28, 2011, at the Nottingham Trent University, Nottingham, UK. The general chairs were Ahmad Lotfi (Nottingham Trent University) and Sean Hanna (Bartlett School of Graduate Studies, University College London). Juan Carlos Augusto (University of Ulster) and Achilles Kameas (Hellenic Open University and Computer Technology Institute) served as program chairs. This article presents a report of the conference. The development of intelligent environments is considered the first and primary step toward the realization of the ambient intelligence vision and requires input from research and contributions from several scientific and engineering disciplines, including computer science, software engineering, artificial intelligence, architecture, social sciences, and art and design.

Today's computer processors and displays will also support tele-immersive environments. Handling and transporting all that time-sensitive data, however, is still a stretch for ordinary desktop operating systems and the Internet. Researchers from the University of Illinois at Urbana-Champaign and the University of California at Berkeley have developed software, dubbed Tele-immersive Environments for EVErybody (TEEVE), that aims to bridge this gap. The system captures and coordinates video streams from three or more sets of four cameras, each of which generates a stream of three-dimensional video data. The system generates macro video frames made up of the frames from all of the cameras at one time interval, and sends them over a network in a way that evenly distributes the data so that it does not overload the network.

She has (which includes a human user), while planning determines equipped the apartment with a series of service robots, the concrete actions that should be carried out in order to sensors and actuators which help her manage some of best support the perceived context. The domain description the physical and cognitive difficulties she has due to formalism used by SAM is based on metric temporal constraints; her age. Her home alerts her if she appears to be overcooking such domains model both the criteria for context inference her meals, and autonomously organizes when and the planning operators used for plan synthesis. The of the user and to contextually synthesize action plans for home recognizes when Malin is sleeping, eating and actuators in the intelligent environment. The knowledge representation scheme used in SAM is based State of the art robotic and sensor systems can be leveraged on Allen's Interval Relations (Allen 1984), augmented with to achieve intelligent functionalities that are useful in a number temporal bounds.