A research team from Skoltech and FBK (Italy) has presented a methodology to derive 4D building models using historical maps and machine learning. The implemented method relies on geometric, neighborhood, and categorical attributes in order to predict building heights. The method is useful for understanding urban phenomena and changes that contributed to defining our cities’ actual shape. The results were published in Applied Sciences.
In Finland, stormy weather can happen at any time of year. This is an issue because Finland is heavily forested, and falling trees can knock out power lines and disable transformers, causing power blackouts for hundreds of thousands of people a year. Researchers at Aalto University and the Finnish Meteorological Institute (FMI) are using artificial intelligence and machine learning to try and predict when these weather-inflicted blackouts happen. Their new method can now predict these storms days in advance, allowing electricity companies to prepare their repair crews before the storm has even happened.
Meet the Creator and Director of the Radical Remission Docuseries! 👋
For the past fifteen years, Kelly Turner, Ph.D. has conducted research in 10 countries and analyzed over 1500 cases of radical remission. She slowly began interviewing these radical remission survivors—one by one—until their stories filled the pages of her notebook…enough to fill a book, in fact.
Her book Radical Remission went on to be a New York Times bestseller, and now, it’s a docuseries, too—brought to you by Hay House Productions and directed by Kelly Turner herself.
The inspiring Radical Remission Docuseries starts on March 16th — but you can register here now!
👉 https://hhafftrk.com?a=8372&c=8169&p=r&utm_campaign=aff_8372_social_opt-in
Researchers at the University of California, Berkeley, have found a new way to harness properties of light waves that can radically increase the amount of data they carry. They demonstrated the emission of discrete twisting laser beams from antennas made up of concentric rings roughly equal to the diameter of a human hair, small enough to be placed on computer chips.
The total amount of data generated worldwide is expected to reach 175 zettabytes (1 ZB equals 1 billion terabytes) by 2025. If 175 ZB were stored on Blu-ray disks, the stack would be 23 times the distance to the moon. There is an urgent need to develop storage technologies that can accommodate this enormous amount of data.
A large international team of researchers has proven that fragments of splitting atomic nuclei begin spinning after scission occurs during nuclear fission. In their paper published in the journal Nature, the group describes their experiments, which may one day fully explain why such fragments begin spinning in the first place.
The Defense Department is hungry for small drones that will track objects and fly into buildings, combat zones and other dangerous areas with little help from remote pilots. Self-piloting drones will become a key part of fighting and other military activities in the years to come, said Mike Brown, director of the Defense Innovation Unit, a Pentagon organization that aims to facilitate cooperation between the military and the tech industry.
While much has been made of tech’s unwillingness to work with the Pentagon, start-ups are still plumbing the industry’s decades-long ties to the military.
A video shared by NASA on Monday revealed the first-ever look at a spacecraft landing on Mars — and the internet was quick to take up a challenge to decode a message hidden in the parachute of the Perseverance rover.
A supercomputer presses the rewind button on the universe’s creation.
Cosmologists simulated 4000 versions of the universe in order to understand what its structure today tells us about its origins.
Colin G. Johnson, an associate professor at the University of Nottingham, recently developed a deep-learning technique that can learn a so-called “fitness function” from a set of sample solutions to a problem. This technique, presented in a paper published in Wiley’s Expert Systems journal, was initially trained to solve the Rubik’s cube, the popular 3D combination puzzle invented by Hungarian sculptor Ernő Rubik.