on 06-09-2018
ISSI 2018
Shanghai, China, 6-7 September
Paper Submission Deadline: June 01, 2018
Coming September 6-7, the Shanghai Maritime University in cooperate with the IEEE Instrumentation Measurement Society, Shanghai Computer Society, Instituto Universitário deLisboa and Instituto de Telecomunicações will be co-organizing the 1st International Symposium on Sensing and Instrumentation in IoT Era – ISSI 2018.
The meeting is highly technical aiming to provide a place of presentation of sound engineering and imaginative research considering the key role sensors and instrumentation are playing for Internet of Things (IoT) technologies.
The main topics will cover issues such as the sensors networks, smart instrumentation, energy harvestings, remote monitoring, asset management, interoperability, M2M communication, bandwidth communication, gateway architectures, block chains technologies, cloud and edge computing, data analytics, security track, open source IoT technologies, IoT technologies evaluation.
This scientific event provides networking opportunities and information sharing for deployment and implementation of best practice and standards for IoT technologies for transportation, logistic, farming, healthcare, industry 4.0.
The symposium allows presentation of new and original research related IoT and promotes the developments of smart and intelligent systems for smart city, smart ports, smart transportation, and smart healthcare.
The event will be held at the Shanghai Grand Trust Purple Mountain Hotel, located in the Lujiazui Financial and Trade zone in Shanghai, China.
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on 26-05-2017
SPEAKER: A.E. (Gusz) Eiben, VU University Amsterdam, on May 26 at 14h30 at FCUL
As outlined in my recent paper [1], the field of evolutionary computing is entering a new phase as evolutionary algorithms that take place in hardware are developed, opening up new avenues towards autonomous machines that can adapt to their environment. In this talk I discuss a vision and a research programme about artificial evolution in physical, rather than digital, spaces. I outline the concept of EvoSphere, a robotic ecosystem that evolves in real space and real time and review on-going activities towards the first proof-of-concept implementation. I argue that constructing systems of self-reproducing machines will lead to a new, exciting mix of evolutionary computing, robotics, and artificial life with new challenges and opportunities
A.E. Eiben and J. Smith, From evolutionary computation to the evolution of things, Nature, 521:476-482, 2015
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