Discover more about the crucial topic of indoor air quality.
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A research team from EPFL and Wageningen University has developed a new artificial intelligence model that recognises floating plastics much more accurately in satellite images than before. This could help to systematically remove plastic litter from the oceans with ships.
Cities around the world are experiencing a period of rapid expansion. According to the United Nations (UN), 57 percent of people already live in urban areas - and this is set to increase to almost 70 percent by 2050.
4 minutes read
The butterfly effect—the idea that a butterfly flapping its wings in South America could change the course of a tornado in Texas—has been a popular way to illustrate the difficulty of making predictions about the behavior of chaotic systems like the weather. Because such systems are extremely sensitive to their initial conditions, even the tiniest of changes can send their behavior careening off into unexpected directions.
4 minutes read
A Comprehensive Guide to These Essential Environments for High-Precision Manufacturing and Research, Highlighting the Applications, Maintenance and Cleaning Practices
A growing desire for continuous data collection, real-time information, and connectivity has resulted in increased demand for electronic functionalities that are fully integrated in everyday objects. Consumer electronics, healthcare, wearable electronics, IoT, and smart packaging ...
9 minutes read
A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.
Here's what you should consider when designing a successful remote sensor.
6 minutes read
In places across the U.S., tree cover is shrinking – forests are burned by wildfires on the West Coast and drowned by rising sea levels along the East. From the ground, it’s hard to assess the scale of the losses and the effects disappearing trees have on atmospheric carbon dioxide levels and climate change.
The global agricultural and farming industry is facing a perfect storm. Earlier this month, the world population hit eight billion for the first time, in the two weeks since it has grown another 1.5 million. That is a lot of extra mouths to feed when there are already 690 million people going hungry, according to the Food and Agriculture Organization of the United Nations (FAO).
4 minutes read
In this episode, we talk about how a method leveraging ground data and satellite imagery can help prevent wetland losses.
New research uses NASA satellite observations and advanced computing to chronicle wetlands lost (and found) around the globe.
A student article showcasing an Android application called DOT-HAZMAT based on Machine Learning and Computer Vision that locates and categorizes HAZMAT placards in perilous rescue operations.
Using an artificial neural network, researchers at ETH Zurich have created the first high-resolution global vegetation height map for 2020 from satellite images.
5 minutes read
based on Xsens MTi-3
4 minutes read
