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SUMMARY:Joint ICTP-IAEA Workshop on Edge Artificial Intelligence for Envir
 onmental and Radiation Sensing | (smr 4190)
DTSTART;VALUE=DATE-TIME:20260914T060000Z
DTEND;VALUE=DATE-TIME:20260918T200000Z
DTSTAMP;VALUE=DATE-TIME:20260514T154916Z
UID:indico-event-11116@ictp.it
DESCRIPTION:\n	The call for applications is now open. Please click "Apply 
 here" on the left.\n	 \n\n	This workshop is dedicated to exploring the tr
 ansformative potential of Edge Artificial Intelligence (EdgeAI) and Tin
 y Machine Learning (TinyML) in advancing environmental and radiation sen
 sing technologies.\n\n	\n	By enabling powerful\, real-time data analysis 
 directly on resource-constrained devices\, EdgeAI and TinyML offer a cruci
 al shift from cloud-dependent processing. This paradigm allows for the dep
 loyment of intelligent\, ultra-low-power sensors in remote\, infrastruct
 ure-poor\, or time-critical environments. Participants will learn how thes
 e technologies facilitate tracking climate-related changes\, monitor envir
 onmental parameters and provide rapid\, localized radiation detection. Ult
 imately\, the focus is on developing and deploying robust\, autonomous\, a
 nd cost-effective sensing solutions essential for proactive disaster manag
 ement\, environmental protection\, and public safety.Topics:\n\n		Introduc
 tion to EdgeAI and TinyML\n	\n		Low-Power Edge Devices for Environmental M
 onitoring\n	\n		Small Size\, Weight\, and Power (SWaP) Radiation Detection
  Instrumentation\n	\n		Deploying Machine Learning Models on Edge Devices\n
 	\n		Case Studies & Applications\n	\n		Data Collection and Preprocessing f
 or EdgeAI\n	\n		Energy-Efficient AI Model Design\n	\n		Scalability and Sus
 tainability of EdgeAI Solutions\n\n	 \n\n	Research abstracts: In the appl
 ication form\, applicants are encouraged to submit a brief research abstra
 ct for a poster presentation and/or contributed talk. A limited number of 
 abstracts will be selected for the poster session or to give a talk. Pleas
 e use ICTP templates available for download below.\n\n	Grants: A limited n
 umber of grants are available to support the attendance of selected partic
 ipants\, with priority given to participants from developing countries. Th
 ere is no registration fee.\n\n//indico.ictp.it/event/11116/
LOCATION:Bishkek - Kyrgyzstan
URL://indico.ictp.it/event/11116/
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