Spotlight Seminar on AI – MOSHE VARDI – June 24

The Italian Association for Artificial Intelligence is pleased to announce the third seminar of its new initiative: the Spotlight Seminars on AI (https://aixia.it/incontri/spring2022/). 

June, 24 – 5:00PM (CEST)

Title: Machine Learning and Logic: Fast and Slow Thinking

Speaker: MOSHE Y. VARDI, Rice University

The aim of the seminar series is to illustrate, explore and discuss current scientific challenges, trends, and possibilities in all branches of our articulated research field. The seminars will be held virtually on the YouTube channel of the Association (https://www.youtube.com/c/AIxIAit), on a monthly basis (and made permanently available on that channel), by leading Italian researchers as well as by top international scientists. 

The seminars are mainly aimed at a broad audience interested in AI research, and they are also included in the Italian PhD programme in Artificial Intelligence; indeed, AIxIA warmly encourages the attendance of young scientists and PhD students. 

The Spotlight Seminars on AI Committee, 

Giuseppe De Giacomo

Chiara Ghidini

Gianluigi Greco

Marco Maratea


Research Topic on Localization and Scene Understanding in Urban Environments

Dear colleagues,

Manuscript submission is now open for a new article collection “Localization and Scene Understanding in Urban Environments”. On behalf of the editorial team, I would like to consider including a paper from you as an original research article/review or a less time-consuming mini-review/perspective.

This Research Topic seeks to address vehicle localization and scene understanding algorithms in urban settings. Contrary to generic localization issues, here the focus is to exploit common urban features and combine them in innovative ways to obtain a reliable awareness in urban scenarios (urban is a key aspect). Autonomous vehicles hinge on advanced algorithms for object detection and tracking, self-localization, and vehicle control. Although each of these components is essential to safely plan vehicle actions, all concurrently support the main challenge, i.e., understanding of the surrounding environment.

In urban settings, the perception and the interpretation of objects and entities within a scene is crucial, since a proper scene interpretation could prevent the vehicle from running into potentially treacherous situations, as well as ensuring the safety of Vulnerable Road Users (VRU). On the one hand, navigating automated vehicle navigation in urban scenarios often leads to dealing with Global Navigation and Satellite System (GNSS)-denied or GNSS-limited areas. For this reason, one may benefit from the detection of specific urban features such as intersections, road topologies, multi-lane and traffic-flow detection in case of lack of road markings, buildings, and many others. In addition, the exploitation of cartographic maps as well their augmentation represents a key factor that contributes towards not only a much more reliable localization but, with a broader vision, towards an enhanced scene understanding system. This global awareness also enables a feasible prediction of road user actions, making it possible to preemptively identify dangerous conditions that might lead to non-fatal injuries or deaths.

This Research Topic includes, but is not limited, to the following interests:

• Detection and exploitation of specific urban features such as buildings, curbs, lanes, intersections, and other features that cannot be here anticipated
• Cartographic map exploitation
• Innovative use of different localization systems/cues for localization
• Exploitation of traffic detection and tracking in specific areas for localization
• Datasets containing urban features ground truth for benchmarking purposes
• Identification, tracking, and trajectory prediction of VRUs, Vehicles and other road users

Keywords: Vehicle localization, Self-driving, GNSS-denied, gps-denied, Intersection detection, Scene understanding, Curbs, Road detection, Pedestrian detection, VRU detection, Vulnerable Road Users detection, Traffic detection, Trajectory prediction, Datasets

This is in collaboration with Frontiers in Robotics and AI (CiteScore 4.4) Field Robotics section. All research will be published Open Access. Additionally, we aim to put together a free eBook of all published manuscripts to provide an up-to-date and comprehensive overview of the latest research developments in the field. You can learn more about the collection here: frontiersin.org/research-topics/40982/

Please note that publishing fees are applied to accepted articles, but the team at Frontiers is happy to advise you in this regard. You can reach out to our dedicated point of contact at Frontiers if you have any questions: roboticsandai.submissions@frontiersin.org

If you are interested, please register via the link below. If you do not wish to participate but know someone who might, please feel free to forward this on to them.

https://www.frontiersin.org/research-topics/40982/localization-and-scene-understanding-in-urban-environments

With best regards,
Augusto Luis Ballardini
 

In-person Registration Closes 22 June!

London Imaging Meeting 2022 – Display Science

6-8 July 2022

Institute of Physics (IOP), London UK

*In-person registration closes on 22 JUNE

https://bit.ly/LIM2022

 

Join us in London for a full day of display science courses—LIM 2022 Summer School—followed by two exciting days of technical talks and networking opportunities. 

 

LIM Summer School is ONLY available in person, whereas participants have the option to attend the Technical program online or in person.

 

The Post-LIM 2022 Networking Event + Demos at the University of Cambridge is complimentary.

*************************************************************************************

6 JULY: LIM 2022 Summer School https://bit.ly/LIM2022_SummerSchool

 

TALKS

  • THE REALITY OF AUGMENTED REALITY DISPLAY AND OPTICS – Karl Guttag, Ravn
  • OPTIMIZING HOLOGRAMS FOR STANDARD HOLOGRAPHIC DISPLAYS – Kaan Akşit, University College London
  • COLOUR PERCEPTION – Sophie Wuerger, University of Liverpool
  • GAMUT MAPPING & HIGH DYNAMIC RANGE – Javier Vazquez Corral, Universitat Autònoma de Barcelona

 

7-8 JULY: LIM Technical Program 

KEYNOTES

  • Foundations of Perception Engineering, Steven M. LaValle, Center for Ubiquitous Computing, University of Oulu (Finland)
  • The Display of Perception and the Perception of Displays, Robert Pepperell, Fovotec Ltd/Cardiff Metropolitan University (UK)

TOPICS

  • PERCEPTUAL METRICS AND OPTIMIZATION
  • PERCEPTUAL AND AUTOMOTIVE DISPLAYS
  • DISPLAYS AND HDR
  • HOLOGRAPHIC, TENSOR, AND WIDE COLOUR GAMUT DISPLAYS
  • VR/AR AND VOLUMETRIC CONTENT
  • COLOUR

 

9 JULY: Post-LIM 2022 Networking Event + demos in Cambridge

  • Visit the University of Cambridge after LIM 2022. Network and view demos of some of the HDR and 3D display prototypes + other work done in the Graphics and Displays group headed by Prof. Rafal Mantiuk. Among other things, see the 3D HDR hyper-realistic display. 

 

 

Roberta Morehouse, CMP
Communications and Marketing Manager
Society for Imaging Science and Technology (IS&T)
—imaging across applications— imaging.org 

Connect with us on LinkedIn and Twitter @ImagingOrg

 

2022 AAAI Fall Symposium on “Artificial Intelligence for Human-Robot Interaction” (AI-HRI)

The ninth annual AAAI Fall Symposium on “Artificial Intelligence for Human-Robot Interaction” (AI-HRI) will take place on November 17-19, 2022, at the Westin Arlington Gateway in Arlington, VA, USA. We are planning a hybrid in-person and online format to reach more people who would not be able to attend in person.

Paper submissions will be due on July 31, 2022 and can be made through https://easychair.org/my/conference?conf=fss22. For more information and updates, please see below or visit the symposium website at https://ai-hri.github.io.

Overview

The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) symposium has been a successful venue of discussion and collaboration on AI aimed at HRI since 2014. This year, after a review of the achievements of the AI-HRI community over the last decade in 2021, we are focusing on a visionary theme: exploring the future of AI-HRI. Accordingly, we added a Blue Sky Ideas track to foster a forward-thinking discussion on future research at the intersection of AI and HRI. As always, we appreciate all contributions related to any topic on AI/HRI and welcome new researchers who wish to take part in this growing community.

With the success of past symposia, AI-HRI impacts a variety of communities and problems, and has pioneered the discussions in recent trends and interests. This year's AI-HRI Fall Symposium aims to bring together researchers and practitioners from around the globe, representing a number of university, government, and industry laboratories. In doing so, we hope to accelerate research in the field, support technology transition and user adoption, and determine future directions for our group and our research.

Topics

  • Future of AI-HRI and “Blue Sky” ideas

  • Ubiquitous HRI, including AR and VR

  • Ethics in HRI

  • Trust and explainability in HRI

  • Robot planning and decision-making for HRI

  • Architectures and systems supporting autonomous HRI

  • Interactive task learning and planning

  • Interactive dialog systems and natural language

  • Field studies, experimental, and empirical HRI

  • Safety and human comfort in HRI

  • Software tools for autonomous HRI

  • AI for social robots

  • AI for physical HRI

  • Knowledge representation and reasoning to support HRI

  • HRI in teams and groups

  • Replication studies and reproducibility

  • Test methods and metrics for AI-HRI 

  • …and many other topics relevant to the application of Artificial Intelligence to Human-Robot Interaction!

Format

This year's symposium will focus on identifying the future of the field of AI-HRI, ranging from research directions to establishing a year-long collaborating community. However, symposium participants will still be invited to present their own work as it contributes to understanding what matters towards these goals. Symposium participants presenting their work will be encouraged to include a perspective on the reproducibility and ethics in HRI, though all research on AI-HRI will be considered.

We will also continue to include community-building efforts in the schedule: position talks to incite discussion on new and controversial views; informal, focused discussions during poster sessions; breakout discussion sessions in smaller groups; and a demo session, which will emphasize live robot and AR/VR demonstrations. Such discussions and demos are ideal within the symposium community, which is small enough that we can all learn each other's names and faces, but large enough to draw an audience of people who have a real impact in our field. These discussions give perfect opportunities for new researchers in the field to meet senior members in a more informal setting, and become more involved in future collaboration within the community.

This year, we have the opportunity to gather in person after two years of being virtual. For inclusiveness, we are planning in advance to implement a hybrid in-person and online format to reach more people who would not be able to attend in person. The diversity chair will lead the efforts for creating an inclusive community and will work with AAAI to manage the logistics for hybrid participation. 

Submissions

  • Full papers (6-8 pages) highlighting state-of-the-art HRI-oriented AI research, HRI research focusing on the Future of AI-HRI, the use of autonomous AI systems, or the implementation of AI systems in commercial HRI products.

  • Short papers (2-4 pages) outlining new or controversial views on AI-HRI research or describing ongoing AI-oriented HRI research.

  • Tool papers (2-4 pages) describing novel software, hardware, or datasets of interest to the AI-HRI community.

  • Blue Sky papers (2-4 pages) fostering a forward-thinking discussion on the future at the intersection of AI and HRI.

Symposium participants presenting their work are encouraged to include a perspective on the reproducibility and ethics in HRI, though all research on AI-HRI will be considered.

All accepted papers will be presented orally and published in the proceedings through ArXiv. Authors will be notified as to whether they have been assigned a “full-length” or “lightning” presentation slot. 

Please see the AAAI Author Kit (https://www.aaai.org/Publications/Templates/AuthorKit22.zip) for paper templates to ensure that your submission has the proper formatting.

 

Contributions may be submitted through EasyChair now: https://easychair.org/my/conference?conf=fss22

For any extenuating circumstances that may result in a delayed submission, please contact us at ai4hri@gmail.com.

Important Dates

  • Submission deadline: July 31, 2022

  • Notification of acceptance: September 6, 2022

  • Camera-ready deadline: October 9, 2022

  • Registration deadline: October 14, 2022

  • Symposium: November 17-19, 2022

Diversity & Inclusion at AI-HRI

AI-HRI is committed to growing the diversity of our community and is actively pursuing ways to make our community more inclusive. Our efforts include diversifying the participation among our program committee, invited speakers, paper authors, and symposium attendees.

If you are having difficulties, please contact us at ai4hri@gmail.com.

Organizing Committee

  • Zhao Han (General Co-Chair, Colorado School of Mines, USA)

  • Emmanuel Senft (General Co-Chair, University of Wisconsin-Madison, USA)

  • Muneeb I. Ahmad (Communication Co-Chair, Swansea University, UK)

  • Shelly Bagchi (Communication Co-Chair, National Institute of Standards and Technology, USA)

  • Justin W. Hart (University of Texas at Austin, USA)

  • ‪Daniel Hernández García (Heriot-Watt University, UK)

  • Boyoung Kim (Program Co-Chair, George Mason University, USA)

  • Matteo Leonetti (King’s College London, UK)

  • Ross Mead (Semio, USA)

  • Reuth Mirsky (Bar Ilan University, Israel)

  • Ahalya Prabhakar (École Polytechnique Fédérale de Lausanne (EPFL), Switzerland)

  • Ruchen Wen (Program Co-Chair, Colorado School of Mines, USA)

  • Jason R. Wilson (Diversity & Sponsorship Chair, Franklin & Marshall College, USA)

  • Amir Yazdani (Publicity Chair, University of Utah Robotics Center, USA)

  • Megan L. Zimmerman (National Institute of Standards and Technology, USA)

IEEE NorCAS 2022 – call for papers

 

The IEEE Nordic Circuits and Systems Conference (NorCAS) 2022 will

be organized in Oslo, Norway on October 25-26, 2022.

 

We have this year the following special sessions, in addition to the topics

in the regular analog, digital and SoC tracks:

 

  • Approximate Computing Circuits and Systems
  • Heterogeneous Networks and Mobility Management in 5G and 6G
  • Reconfigurable Architectures and Network-on-Chips for Massively Parallel Signal Processing

 

The special session papers will be treated similarly to any submission to

IEEE NorCAS: IEEE 2-column format full paper submission, peer review by at least

3 independent reviewers, obligation to present the accepted paper, and submission

for inclusion in the IEEE Xplore database as part of the conference proceedings.

 

The conference schedules are:

Paper submission deadline: August 15, 2022

Notification of acceptance: September 20, 2022

Final camera-ready papers: October 4, 2022

 

See the call for papers and other details at https://events.tuni.fi/norcas2022/

 

Regards,

 

Jari Nurmi (TAU)

IEEE NorCAS General Chair

 

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