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Computers

Green light for CASUS, the institute for data intensive systems research

(Helmholtz-Zentrum Dresden-Rossendorf) With CASUS — the Center for Advanced Systems Understanding, the East German city of Goerlitz receives a new science center. Its vision is to develop a systematic understanding of complex phenomena of our environment using new digital methods. Germany’s Federal Ministry of Education and Research (BMBF) recently approved funding of around ten million euros for the next three years; the Free State of Saxony will provide an additional million euros as part of this project.

Tesla’s New HW3 Self-Driving Computer — It’s A Beast (CleanTechnica Deep Dive)

A month ago, Tesla revealed several secrets regarding the new chip the Silicon Valley company has designed for full self-driving capability. Nonetheless, some of the people making that presentation may have failed to take into account that not everyone is fully literate in microprocessor design and engineering. I don’t fall into that category either, but I have been a computer enthusiast for quite some time and know a few things that might help me pick out some of the highlights, point out why they are so exciting, and further communicate how Tesla really is way ahead of the competition

UCI scientists create new class of two-dimensional materials

(University of California – Irvine) Oxide perovskite crystals have many interesting physical and chemical properties, and materials science engineers would like to fabricate them as two-dimensional layers for use in advanced electronics and, potentially, quantum computers. In a breakthrough, a team led by UCI’s Xiaoqing Pan has figured out how to make flexible, free-standing layers of the material.

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Scientists stack algorithms to improve predictions of yield-boosting crop traits

To help researchers better predict high-yielding crop traits, a team have stacked together six high-powered, machine learning algorithms that are used to interpret hyperspectral data — and they demonstrated that this technique improved the predictive power of a recent study by up to 15 percent, compared to using just one algorithm.