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Turbulence plays a key role in our daily lives, making for bumpy plane rides, affecting weather and climate, limiting the fuel efficiency of the cars we drive, and impacting clean energy technologies. Yet, scientists and engineers have puzzled at ways to predict and alter turbulent fluid flows, and it has long remained one of the most challenging problems in science and engineering.

Now, physicists from the Georgia Institute of Technology have demonstrated—numerically and experimentally—that turbulence can be understood and quantified with the help of a relatively small set of special solutions to the governing equations of fluid dynamics that can be precomputed for a particular geometry, once and for all.

“For nearly a century, turbulence has been described statistically as a random process,” said Roman Grigoriev. “Our results provide the first experimental illustration that, on suitably short time scales, the dynamics of turbulence is deterministic—and connects it to the underlying deterministic governing equations.”

Clean water is essential for human survival. However, less than 3% of fresh water can be used as drinking water. According to a report published by the World Meteorological Organization, there is scarcity of drinking water for approximately 1 billion people worldwide, which is expected to rise to 1.4 billion by 2050.

Seawater desalination technology, which produces from seawater, could solve the problem of water scarcity. At the Korea Institute of Science and Technology (KIST), a research team led by Dr. Kyung Guen Song from the Center for Water Cycle Research, have developed a hybrid distillation module that combines with hydrothermal heat pumps to reduce consumption during the desalination process. Their results are published in Energy Conversion and Management.

Reverse osmosis and evaporation methods are relatively common seawater desalination processes; however, these methods can operate only at high pressures and temperatures. In comparison, the membrane distillation method produces fresh water by utilizing the vapor pressure generated by the temperature difference between the flowing raw water and treated water separated by a membrane. This approach has the advantage of low energy consumption, as fresh water can be generated at pressures of 0.2–0.8 bar, which is lower than atmospheric pressure, and temperatures of 50–60℃. However, large scale operation requires more thermal energy. Thus, research studies are required to reduce the use of thermal energy for commercial operation.

It could someday replace existing A/Cs.

The world is getting hotter by the day. It is now 1.1 degrees Celsius warmer on average than it was before the Industrial Revolution. This means that cooling, in general, has percolated into our lifestyles, almost essential for our survival.

However, the irony is as the planet warms, the technology we seek refuge in can only contribute to climate change, making the climate hotter. Room air conditioners are expected to quadruple to 4.5 billion by 2050, according to Scientific American.

Now, cooling an environment needs an enormous amount of energy.

I have been invited to participate in a quite large event in which some experts and I (allow me to not consider myself one) will discuss about Artificial Intelligence, and, in particular, about the concept of Super Intelligence.

It turns out I recently found out this really interesting TED talk by Grady Booch, just in perfect timing to prepare my talk.

No matter if you agree or disagree with Mr. Booch’s point of view, it is clear that today we are still living in the era of weak or narrow AI, very far from general AI, and even more from a potential Super Intelligence. Still, Machine Learning bring us with a great opportunity as of today. The opportunity to put algorithms to work together with humans to solve some of our biggest challenges: climate change, poverty, health and well being, etc.

For decades children and adults have learned the motto “when thunder roars, go indoors.” It is a low-tech approach to staying safe when lightning could be in the immediate area, but thanks to advancements in forecast products, meteorologists are getting more advanced warning when these sudden dangers could be on the horizon.

The National Oceanic and Atmospheric Administration says several forecast offices around the country are using an experimental LightningCast product to determine who has the greatest chance of seeing lightning upwards of an hour before a strike.

The data comes from the GOES-16 and GOES-17 satellites that are constantly monitoring the skies over North America.

Meet ROSS, Russia’s new space station.


But unlike the ISS, ROSS won’t have permanent residents year-round. Instead, it will only host cosmonauts “twice a year for extended periods,” according to Reuters.

ROSS is still years out and shrouded in secrecy, so it’s hard to predict exactly how the new space station could surpass the ISS’s capabilities.

Roscosmos officials have told Russian state media that the station will likely orbit at higher latitudes than the ISS does. This could offer a better view of the Earth’s polar regions, which Russian researchers could analyze with optical, infrared, ultraviolet instruments. After all, Russia’s borders cover 53 percent of the Arctic Ocean’s entire coastline, and the country likely wants to use ROSS to chart northern sea routes as climate change melts Arctic sea ice.