The team is looking forward to seeing what machine learning can do in the future to unravel the mysteries behind earthquakes, in an effort to mitigate their harmful effects.Earthquakes typically occur in sequences: an initial "mainshock" (the event that usually gets the headlines) is often followed by a set of "aftershocks. When neural networks were applied to the data set, it was able to look under the hood at the specific combinations of factors that it found important and useful for that forecast, rather than just taking the forecasted results at face value.
The team has partnered with machine learning experts at Google to see if they could apply deep learning to explain where aftershocks might occur, and they are publishing a paper on the findings. Machine learning-based forecasts may one day help deploy emergency services and inform evacuation plans for areas at risk of an aftershock.  Although the timing and size of aftershocks has been understood and explained by established empirical laws, forecasting the locations of these events has proven more challenging.Forecasted distribution of aftershock location probabilities for the Landers earthquake.
(Representational image/ Pixabay image)From hurricanes and floods to volcanoes and earthquakes, the Earth is continuously evolving in fits and spurts of dramatic activity. Earthquakes and subsequent tsunamis alone have caused massive destruction in the last decade, there were earthquakes in New Caledonia, Southern California, Iran, and Fiji. But first, a bit more about how it came to be: it was started with a database of information on more than 118 major earthquakes from around the world. https://www.bangemachine.com/product/pet-blow-molding-machine/semi-automatic-blow-molding-machine/ A neural net was applied to analyse the relationships between static stress changes caused by the mainshocks and aftershock locations.(Source)end-ofTags: artificial intelligence, google, earthquakes. Dark red colours indicate regions predicted to experience aftershocks.

"Moreover, rising health awareness is also driving juice consumption and it is increasingly becoming part of the regular https://www.bangemachine.com/product/plastic-bottle-cap-compression-moulding-machine/24-cavity-cap-compression-moulding-machine/core-back-spring-24.html breakfasts and social gatherings, said VBL.
It is the PepsiCo second-largest franchisee in the world (outside the US).28 crore in 2018, has PepsiCo's franchise rights for its products across 21 states and 2 union territories in India, as well as for Nepal, Sri Lanka, Morocco, Zambia and Zimbabwe.VBL further added: "Most of the categories in which the company operates in are under-penetrated and, therefore, it is continuously investing in market development. It further said: "The bottled water category is expected to see a robust volume growth with increasing awareness among consumers about water-borne diseases and shortages in drinking water in the urban areas.
Carbonated beverages account for 51 per cent of PepsiCo's sales volumes in India."Within carbonates, non-cola carbonates, especially lemon-based ones, are expected to grow faster," said VBL.Consumption in India's soft drinks was 44 bottles per capita in 2016, which is relatively lower compared to matured markets such as the US, where the per-capita consumption is 1,496 bottles.
It will be helped by key growth drivers such as under-penetration of the segment, growing middle class, rising affordability and urbanisation, and rural electrification besides continued innovations towards product packaging and sizing."This under-penetration is likely to correct with consumption expected to almost double to 84 bottles by 2021," it said.VBL, which had reported a revenue of Rs 3,862.The industry would have a broad-based growth across categories, especially helped by juices and bottled water, VBL said in its 2018 Annual Report.