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The evolving periodicity of the brightness of certain types of stars can now be described mathematically.

 E-Mail Credit: MU College of Education COLUMBIA, Mo. -- In her 16 years teaching algebra, Amy Dwiggins has seen countless students struggle with the seemingly abstract subject. But the creation of new, online professional development materials at the University of Missouri could help teachers like Dwiggins, who teaches Algebra 2 and Geometry at Macon High School in Macon, Missouri, teach their students more effectively. "Algebra can be a tough subject to learn if the students don't find it applicable to their daily lives," Dwiggins said. "But we use critical thinking and problem-solving ski...

 E-Mail IMAGE: Advances in artificial intelligence technology is leading to the development of neural networks that mimic the biology of the brain. view more  Credit: © 2021 KAUST A biomimicking "spiking" neural network on a microchip has enabled KAUST researchers to lay the foundation for developing more efficient hardware-based artificial intelligence computing systems. Artificial intelligence technology is developing rapidly, with an explosion of new applications across advanced automation, data mining and interpretation, healthcare and marketing, to name a few. Such systems are...

 E-Mail IMAGE: The new research shows that current methods used for calculating stress received by the underground pipelines during an earthquake are incorrect. view more  Credit: Peter the Great St.Petersburg Polytechnic University Underground pipelines that transport oil and gas are very important engineering communications worldwide. Some of these underground communications are built and operated in earthquake-prone areas. Seismic safety or seismic stability of underground pipelines began to be intensively studied since the 1950s. Since then, a number of methodologies were propo...

 E-Mail IMAGE: Technology developed through a KAUST-led collaboration with Intel, Microsoft and the University of Washington can dramatically increase the speed of machine learning on parallelized computing systems. view more  Credit: © 2021 KAUST; Anastasia Serin. Inserting lightweight optimization code in high-speed network devices has enabled a KAUST-led collaboration to increase the speed of machine learning on parallelized computing systems five-fold. This "in-network aggregation" technology, developed with researchers and systems architects at Intel, Microsoft and the Univers...