Financiamiento: Becas de National Geographic Society para el uso de IA en el descubrimiento de especies


Estimados docentes e investigadores:

 

Tengo el agrado de remitirles la convocatoria de referencia.

 

La National Geographic Society y el programa AI for Earth de Microsoft se asociaron para apoyar el descubrimiento, la identificación y la clasificación de nuevas especies a través de la inteligencia artificial. Las subvenciones apoyan la creación y el despliegue de modelos, algoritmos y conjuntos de datos de código abierto para apoyar el descubrimiento de especies.

 

Las becas de investigación están destinadas para las siguientes áreas: Agricultura, medio ambiente y afines, Ciencias puras y aplicadas, Computación, matemáticas y ciencias de la información, Ingeniería y tecnología. Los destinatarios de las becas son: graduados en Biología, Estudios del Medio Ambiente, Ingeniería Ambiental, Ingeniería en Sistemas, Computación, Ciencias de la Información.

 

Plazos: la convocatoria cierra el 15 de enero de 2020.

 

Duración: 1 año

 

Se pueden solicitar entre US$ 5000 y US$ 100.000.

 

Además del soporte financiero, las propuestas exitosas recibirán acceso gratuito a la IA de Microsoft para las API, aplicaciones, herramientas y tutoriales de Earth, y soporte para su trabajo computacional en Microsoft Azure.

 

Bases y condiciones (en inglés): https://www.nationalgeographic.org/funding-opportunities/grants/what-we-fund/artificial-intelligence/

Preguntas frecuentes (en inglés): https://docs.google.com/document/d/1UUS12IVlFERbezoP15xpUKfALfVdS5BtH1LOxjMCZsM/edit

 

Email de consulta: grantinfo@ngs.org

Página Web: https://www.nationalgeographic.org/

 

Free individual membership of the Immersive Learning Research Network (iLRN)

INVITATION TO JOIN THE IMMERSIVE LEARNING RESEARCH NETWORK (iLRN)

Link to join (free): https://immersivelrn.org/get-involved/membership/

*** About iLRN ***

The Immersive Learning Research Network (iLRN at http://immersivelrn.org) connects educators, developers, and researchers to work together on developing the scientific, technical, and applied potential of immersive learning. New and emerging virtual reality (VR), augmented reality (AR), mixed reality (MR), and other related technologies (collectively known as “XR”) present new opportunities for tackling some of the world’s most capacious and pressing societal, environmental, and economic problems; iLRN seeks to foster a global, interdisciplinary community of scholarship and practice, founded on the principles of open science and open design, aimed at leveraging these opportunities for the good of our planet and its inhabitants.

*** Current Activities ***

1. Immersive Learning Research Network Conference (IEEE technically co-sponsored)

Now in its sixth year, iLRN's annual international conference is the premier scholarly event focusing on advances in the use of XR and immersive technologies to support learners and learning. The theme of iLRN 2020, which will take place in San Luis Obispo, California, is "Vision 2020: Hindsight, Insight, and Foresight in XR and Immersive Learning." iLRN 2020 is an IEEE Education Society technically cosponsored conference. Visit the conference website at https://immersivelrn.org/ilrn2020/

2. The State of XR and Immersive Learning

This project, led by iLRN and conducted in partnership with IEEE ICICLE, EDUCAUSE, and the Consortium for School Networking, combines an ongoing systematic review and synthesis of the evidence/knowledge base on “what works” in XR and immersive learning with an annual Delphi-inspired environmental scanning and forecasting exercise in the vein of the well-known Horizon Project. The 2020 State of XR and Immersive Learning Report is sponsored by HP, Unity Technologies, Adobe, zSpace, Dassault Systèmes SolidWorks Corporation, and SpringboardVR. See https://immersivelrn.org/about-us/state-of-xr-and-immersive-learning/

3. iLRN Houses

By offering resources, tools, and forums for experts to meet, share, and collaborate, iLRN strives to assist and promote the development of knowledge, skills, principles, and practices throughout the multitude of enterprises where the unique affordances of the technology may be powerfully harnessed to support and catalyze human learning and achievement. iLRN Houses have been/are being established that focus on: immersive place-based learning; XR in medical and healthcare education; language, culture, and heritage; workforce development and industry training; supporting vulnerable and underrepresented learner populations; nature and environmental sciences; assessment in XR; and K-12 STEM education. If you are interested in becoming involved in one or more of these Houses, please get in touch with us: https://immersivelrn.org/contact-us/

4. iLRN Chapters

Chapters are geographical subdivisions of iLRN that cater to the needs of members within a particular city, state/province, or country and that champion the mission and goals of iLRN within that geographical area with the purpose of showcasing and promoting immersive learning capabilities within that area. Each Chapter organizes its own face-to-face activities and events that serve as forums for members to meet, interact, share ideas/knowledge, and collaborate. If you are interested in joining or forming a local iLRN Chapter, please get in touch: https://immersivelrn.org/contact-us/

5. The Versatilist

iLRN's official podcast, The Versatilist, covers and discusses both the latest news in immersive learning across the disciplines as well as hosting guests who do important work in various capacities in this emerging field of expertise. For more details, please see http://podcast.immersivelrn.org

6. iLRN Happy Hours

Each Friday at 5:00pm US Eastern time, grab a beer or other beverage of your choice and join iLRN President/CEO Jonathon Richter on our Discord server for wide-ranging conversations about all things immersive. (Upon joining iLRN, members receive an invitation to join our Discord server.) Beginning in early 2020, iLRN Happy Hours will rotate between various social and collaborative VR and AR/MR platforms to give participants opportunities to experience the features and affordances of those platforms while engaging in discussions about topics of interest within the realm of XR for learning and collaboration.

*** iLRN Membership ***

Basic individual membership of iLRN is currently free of charge. Any researcher, developer, educator, or business person is welcome to join the network to receive newsletters and relevant information:

https://immersivelrn.org/get-involved/membership/

Premium levels of iLRN membership will be introduced in the near future that includes voting privileges, access to special reports, research opportunities, discounts to iLRN events, and more.

Organizational memberships are also offered at rates commensurates with the size of the organization and the relationship desired. Please contact us for details: https://immersivelrn.org/contact-us/

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PhD sholarship on spiking networks computational models at Barcelona


The Neurocomputation and Biological Vision Team (NeuroBiT)
(http://www.cvc.uab.es/neurobit) offer a PhD scholarship to work in a highly
multidisciplinary project which includes computational modelling of primary
visual cortex and psychophysical experimentation of colour perception and
its relationship to visual migraines.

The Research will take place at the Computer Vision Centre
(http://www.cvc.uab.es) of the Univ. Autònoma de Barcelona, which is
consistently ranked among the top Spanish Universities
(https://www.uab.cat/web/about-the-uab/the-uab/the-uab-in-the-rankings-13456
67138662.html
).
The centre is located in a campus outside the vibrant city of Barcelona and
has a strong tradition of multidisciplinary research in computational colour
vision with their own psychophysical laboratory, living labs facilities and
several computer clusters. The candidate will be part of the
NeuroComputation and Biological Vision Team (NeuroBiT), a recently-formed
multidisciplinary research group which combines perceptual and computational
approaches with visual neuroscience. We offer regular meetings with other
PhD students, international contacts and the possibility of
internship/cooperation with other experimental/theoretical labs. The
successful candidate is likely to obtain several high-impact publications.

The PhD student research topic will be the development of recurrent
multilayer spiking networks to reproduce the biological architecture of the
primary visual cortex and several of its physiological properties, aiming at
reproducing the results of psychophysical studies in colour perception and
clinical studies on migraines.

The duration of the position is 3 years (36 months). We expect the position
to start before July 1st 2020 (i.e. eventual visa issues should be solved
beforehand!). The total annual stipend of the grant is around 15.000 euros
gross, which include the cost of registration fees for the official
doctorate program.

Conditions: The candidate must

   -hold a European Higher Education Area (EHEA) qualification of at least
300 ECTS credits or a university-awarded Master degree or equivalent in the
natural sciences/engineering at the time of signing the contract.

   – have experience in programming with Python and/or Matlab (C,
C++, Unix environment and computer cluster experience are also valued)

   – have knowledge of / interest in the human visual system, visual
perception and statistics

   – proficiency in English and (desired in) Spanish or Catalan

   – have excellent skills in analytical thinking, perceptiveness,
commitment, self-organization, teamwork, and communication.

Any previous experience in the subject of computational modelling will also
be a bonus.

How to apply:

Please send your CV and a short statement (500 words) connecting your
previous work with the topics of this grant to xotazu@cvc.uab.es and a copy
of the official academic transcript (including GPA) before november 25th.

We encourage candidates with strong skills in programming who are interested
to work in a highly multidisciplinary project and environment (computer
science, neuroscience, psychophysics), to apply.
Candidates should have a degree in a related subject (Neuroscience, Computer
Science, Mathematics, Physics, Biology, etc.).

Xavier Otazu

Senior Researcher at Computer Vision Center Professor at Computer Science
Department, Univ Autonoma de Barcelona

——-

[Journals] last CFP: Special Issue on “Smart Cameras for Real-Time Image and Video Processing”

CALL FOR PAPERS

Journal of Real-Time Image Processing Special Issue on

“Smart Cameras for Real-Time Image and Video Processing

 

Smart cameras and smart camera networks are becoming fundamental pieces for intelligent environments, from homes to buildings and cities, progressively inserting themselves into our lives. From smart surveillance systems composed of a multitude of smart camera nodes to small wearable cameras able to render a visual log of our daily activities, these devices interact with each other and with a wealth of other smart things, and of course the Internet. Thanks to the convergence of relevant technologies such as imaging sensors, embedded systems, video analytics and deep learning, this field is currently undergoing a rapid development. This technology opens the door to many application domains including video surveillance, autonomous driving, robots and drones, smart factory and industry 4.0, health monitoring and care, to name a few. Real-time image and video processing is a key requirement for most of these applications.

 

The goal of this special issue is to present and highlight the latest developments in the smart camera community with the focus being on the real-time aspects of image and video processing.

 

The topics of interest include, but are not limited to, the following:

  • Systems for real-time image and video processing

  • Parallel processing hardware for real-time image and video processing

  • HW/SW co-design for real-time embedded vision

  • Reconfigurable architectures for real-time image and video processing

  • Camera network architectures for real-time image and video processing

  • Real-time embedded vision programming

  • Real-time distributed video analytics

  • Resource management and task allocation for real-time image and video processing

  • Data aggregation and information fusion for real-time image and video processing

  • Collaborative real-time object recognition and extraction

  • Real-time visual landmark localization

  • Deep learning on smart cameras for real-time image/video processing

  • Transforming real-time embedded vision through deep learning

  • Distributed learning algorithms in real-time visual sensor networks

  • Real-time machine learning technology implementation on smart cameras

  • Real-time image/video processing for smart environments (smart cities, smart home, smart health, smart factory)

  • Real-time image/video processing for driver assistance and autonomous driving   

     

     

 

Important Dates:

 

  • Paper submissions due: 30 Nov, 2019

  • Initial decision notifications: 1 March, 2020

  • Revised manuscripts due: 1 May, 2020

  • Final decision notifications: 1 July, 2020

  • Print publication: As per the journal policy 

 

Submission Guidelines:

 

  • Authors from academia and industry working on the above research topics are invited to submit original manuscripts that have not been published and are not currently under review by other journals or conferences. All potential authors are requested to serve as reviewers in the peer-review process for manuscripts submitted to this special issue.

  • Manuscripts need to be prepared according to the Instructions for Authors provided on the online submission page of the JRTIP at https://www.editorialmanager.com/rtip/default.aspx. All the papers will be peer-reviewed according to the JRTIP reviewing procedure.

  • Manuscripts are requested according to the Instructions for Authors provided on the online submission page of the JRTIP at https://www.editorialmanager.com/rtip/default.aspx. All submitted papers will be checked for matching the special issue theme and will be peer-reviewed according to the JRTIP reviewing procedures.

  • Note: When submitting manuscripts to this special issue, at the step of “Choose Article Type”, please choose: “SI: Smart Cameras for Real-Time Image and Video Processing”.

  • Special issues are reviewed on a “fast track” basis. Prior to sending full paper submissions, it is highly recommended to query the appropriateness of submissions by sending a 100-200 word abstract to the guest editors whose contact information are provided below.

 

Guest Editors:

 

Dr. Caifeng Shan

Philips Research, Netherlands

caifeng.shan@philips.com

 

Prof. Victor Manuel Brea
University of Santiago de Compostela, Spain

victor.brea@usc.es

 

Prof. Senem Velipasalar
Syracuse University, USA

svelipas@syr.edu

Special Issue “Color & Spectral Sensors” at Sensors

Deadline for manuscript submissions: 31 March 2020

Sensors (ISSN 1424-8220) has an impact factor of 3.031 (2018 Journal Impact Factor) and it is ranked 15/61 at 'Instruments and Instrumentation'. It is ranked 9/123 in  'Physics and Astronomy: Instrumentation' and 102/661 in 'Electrical and Electronic Engineering', according to CiteScore (2018 Scopus data).

Keywords

  • recent optical sensor technologies: plasmonic-based devices, coded-aperture systems, snapshot, scanning sensors, multilayer sensors, sparse sensors, HDR, and others.
  • application domains: spectral reconstruction, object recognition, underwater, biomedical applications, aids for the visually impaired, depth and stereo, color constancy, cultural heritage and art, HDR, robotic vision, food analysis, agriculture, waste sorting, and others.
  • demosaicing algorithms for color/spectral imaging
  • imaging sensors calibration
  • band optimization algorithms for spectral imaging
  • multiband fusion/blending
  • deep-learning applied to spectral image analysis and optimization of imaging systems

Dear Colleagues,
Image sensors, which are among the most important components inside digital imaging systems, convert the incoming light into an electrical signal that can be viewed, analyzed, or stored. Thanks to color sensors based on primary color channels (red, green, and blue), color imaging has been widely applied in general digital imaging. When an imaging device is able to capture between three and twelve channels or spectral bands, it is usually considered a multispectral imager. If the number of spectral bands is relatively high, the device can then be considered a hyperspectral imager. Technological advances in image sensors and spectral filtering (i.e., plasmons, coded aperture, scanning sensors, multilayer sensors, etc.) have allowed the proliferation of color, multispectral, and hyperspectral imaging systems for image capture in a wide range of fields, such as medicine, remote sensing, biology, cosmetics, quality control, surveillance, food industry, art observation, cultural heritage, and art, just to name a few. The present Special Issue on “Color and spectral sensors” aims to present recent advances in new optical sensor technologies and in the development of new techniques for processing color and/or spectral information and to demonstrate their potential for different applications, according, but not limited to, the list of keywords below. In addition to original research papers with novel findings, review articles describing the current state of the art and future perspectives are invited.

Prof. Dr. Javier Hernández-Andrés
Prof. Dr. Eva M. Valero Benito
Dr. Miguel A. Martínez-Domingo
Guest Editors

https://www.mdpi.com/journal/sensors/special_issues/CSSensors

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