Amit Sharma’s Post

📶 One of the core goals of the ETAIN project is to evaluate the impact of radio-frequency electromagnetic fields (RF-EMF) on human health and the environment and explore viable options for reducing exposure. 🔎 This research is being conducted by a team of researchers from several EU countries. One researcher, Nekane Sandoval Diez, in collaboration with colleagues from the ETAIN project and Swiss Tropical and Public Health Institute, has co-authored the article “Determining the relationship between mobile phone network signal strength and radiofrequency electromagnetic field exposure: protocol and pilot study to derive conversion functions.” 📲 The article presents an investigation into how mobile phones can be used to estimate exposure to RF-EMF from mobile wireless communication. ❗ As part of this study, the researchers developed an app called “5G Scientist,” which tracks signal quality on phones to potentially estimate RF-EMF exposure. App download: https://lnkd.in/d2vnSMCZ Check out the article here 👇 https://lnkd.in/dERQq967 Lea Beláčková, Hamed Jalilian, Isabelle deltour, Arno Thielens, Marco Zahner, Jürg F., Anke Huss, Martin Röösli

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Quantum computing can resolve and enhance in every field. There should be a group of countries who can collaborate and work on a particular field with targeted results in a time bound manner. Such collaboration between countries can go a long way in improving our lives. #quantumcomputing #sustainability

📶 One of the core goals of the ETAIN project is to evaluate the impact of radio-frequency electromagnetic fields (RF-EMF) on human health and the environment and explore viable options for reducing exposure. 🔎 This research is being conducted by a team of researchers from several EU countries. One researcher, Nekane Sandoval Diez, in collaboration with colleagues from the ETAIN project and Swiss Tropical and Public Health Institute, has co-authored the article “Determining the relationship between mobile phone network signal strength and radiofrequency electromagnetic field exposure: protocol and pilot study to derive conversion functions.” 📲 The article presents an investigation into how mobile phones can be used to estimate exposure to RF-EMF from mobile wireless communication. ❗ As part of this study, the researchers developed an app called “5G Scientist,” which tracks signal quality on phones to potentially estimate RF-EMF exposure. App download: https://lnkd.in/d2vnSMCZ Check out the article here 👇 https://lnkd.in/dERQq967 Lea Beláčková, Hamed Jalilian, Isabelle deltour, Arno Thielens, Marco Zahner, Jürg Fröhlich, Anke Huss, Martin Röösli

Guys, you won't believe what I've been reading about! 🤯 Quantum technologies is WILD. Apparently, it explains how everything works on the smallest level, like atoms and stuff. 🤔 They say it could change everything, from computers to medicine! I'm trying to wrap my head around it all. 📚 #QuantumPhysics #MindBlown #everydaylearning #linkdinfamily #science #technologies

Quantum technology holds transformative potential across various fields, including sustainability. Quantum technology leverages principles of quantum mechanics—like superposition, entanglement, and quantum tunneling—to create powerful tools for computing, communication, and sensing. These technologies promise solutions to some of the most complex challenges, including sustainability. Quantum technology presents a significant opportunity to advance sustainability efforts by enhancing efficiency, resource management, and scientific discovery. However, to maximize its positive impact while minimizing downsides, it’s crucial to address energy demands, ethical considerations, and equitable access. Thoughtful collaboration between governments, academia, and the private sectors will be essential to ensure these technologies are developed sustainably and inclusively.  

At what cost?

Quantum is such an interesting emerging technology, something worth constantly following and seeing progress. It has the unique ability to solve certain problems that GenAI, constrained by the scope of its dataset, cannot. With Quantum expected to mature in the next 5+ years, and with investment rising, will Quantum be more transformational than AI and GenAI? I look forward to seeing what it can become! Any interesting insight or thoughts are always welcome in the comments!

Yes, quantum computing can help transform sustainability in a number of ways, including: Energy Quantum computing can help improve the energy sector by optimizing network management, simulating materials to improve solar panels and batteries, and increasing the security of energy infrastructure. Climate change Quantum computing can help with climate change by simulating complex climate systems to improve weather pattern predictions and long-term climate change projections. It can also help with carbon capture, n ew fuels, batteries, fertilizers, and catalysts. Materials Quantum computing can help develop sustainable materials and environmentally-friendly chemical processes. It can also help identify new catalysts and compounds that can reduce waste and energy consumption. Drinking water Quantum sensing and quantum simulation technologies can help alleviate drinking water disinfection problems. Other sustainability goals Quantum computing can impact other United Nations sustainable development goals, including zero hunger, good health and well-being, and clean water and sanitation. To make quantum computing a reality for sustainability, a team will need to include domain specialists, quantum experts, and sustainability experts.

At the end of last year, Pedro Pereira, a researcher at CCG/ZGDV Institute, and Paulo Cortez, an affiliated researcher at CCG/ZGDV Institute, wrote an article for the EPIA Conference on Artificial Intelligence, held in Viana do Castelo. This article discusses how Smart Cities currently gather various types of interrelated information through multiple sensors (e.g., air humidity and temperature, occupancy levels of different city parking lots). To extract value from the collected data and support decision-making for both citizens and municipal officials, artificial intelligence tools have become essential (e.g., for generating forecasts). In this context, the article presents a comparative empirical study of multiple automated predictive analysis tools, comparing their predictive performance and computational costs using real data from smart cities. Learn more about this article here: https://lnkd.in/d5RKjuy9