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«    April 2019    »










DateDate: 9-04-2019, 06:01

This startup is a constituent element unique business model "Innovator"! 

 Personal non-property and property rights for the invention belong to the author and protected under current legislation. 
 Now in the end of a presentation of the media-direction unique business model "Innovator", the author's ideas most directly investment network investment and ideas "Innovator" exhibit on display the main media on - media-block "Innovator". Media-block "Innovator" will have a significant number of innovative new features that will be described below.
 Now, referring to the topic of the paper and broadcasting crowdfunding the smart radio and television krupoderova channel "Innovator", media unit, as the main media organ, will determine the basic strategy of development of this direction and control the entire broadcasting process of the above media agencies. But this is a standard work, without which it could not do. But of course, in the framework of the entire structure of the business model of "Innovator", with no signature style and innovative components can't do all of the organizational structural work presented media unit.
 Media-block "Innovator" in the first place, for the most part, a virtual self-organized body of innovators and inventors, which has a constant number of members and is voluntary in terms of membership . This part of the "skips" through all the organizational work and preparing relevant of these proposals for the approval of the head of the media unit, which is a real officer. Their mandate will be to develop solutions to those projects which in their opinion are the investment perspective. Off and to accept new members in the virtual self-organized body of innovators and inventors, as he can peer their quantitative composition and head of the media unit on request or submission. 
 Secondly, and most important, a media unit is an integral part of a unique business model "Innovator", which has a fairly innovative structure and could quickly allow the author to a project or idea, which has in the opinion of the authority innovators and inventors the real prospects for growth and development, to obtain the corresponding resource on the basis of investment or crowdfunding. Well, or complete their purchase.
 That is, this whole process a unique business model, and the beans its just a media unit that is designed for providing a real chance for all innovators and inventors, by the way, at the initial stage without paid, on presentation, promotion and the implementation of their projects. And investors who have a specific resource, to give the opportunity to develop innovative projects on a partnership or on the basis of crowdfunding.
 This idea is only open for investment.

DateDate: 9-04-2019, 05:57

Machine learning was used to create very tasty basil bushes - you probably know this plant with an unusual taste, the main ingredient of pesto sauce. Although, unfortunately, we cannot convey the taste of this herb, it only remains for scientists to take the word. However, these results reflect a broader trend that includes the use of a scientific approach in data and machine learning to improve agriculture. What makes basil so tasty? In some cases - artificial intelligence.
Machine learning makes products better
Scientists who have grown optimized basil used machine learning to determine growing conditions that would maximize the concentration of volatile compounds responsible for the taste of basil. A study published in the journal PLOS One.
Basil was grown on hydroponic farms in modified transport containers in Middleton, Massachusetts. Temperature, light, humidity and other environmental factors inside the containers can be controlled automatically. Scientists tested the taste of plants by searching for certain compounds using gas chromatography and mass spectrometry. And they used the data in machine learning algorithms developed by the Massachusetts Institute of Technology and Cognizant.
Strangely, the study showed that the effect of light on plants for 24 hours a day gives the best taste. Now scientists are planning to explore how technology can improve the ability of plants to fight diseases, as well as how different flora reacts to the effects of climate change.
“We are really interested in creating networking tools that can take into account the experience of the plant, its phenotype, a set of environmental stresses and its genetics, and digitizing it all so that you can understand the interaction of the plant and the environment,” says Caleb Harper, head of the OpenAg group at Media Lab MIT. His lab worked with colleagues at the University of Texas at Austin.
The idea of using machine learning to optimize yields and plant properties is rapidly gaining momentum in agriculture. Last year, the Wageningen University in the Netherlands organized the “Autonomous Greenhouse” competition in which various teams competed to develop algorithms that increase the yield of cucumber while minimizing the necessary resources. They worked with greenhouses in which computer systems control various factors.
A similar technology is already being used in some commercial farms, says Nawin Single, who heads a group of data scientists who deal with yield at Bayer, a German multinational company that acquired Monsanto last year. “Taste is one of the areas where we intensively use machine learning,” he says. And he adds that machine learning is a powerful tool for growing in greenhouses, but less useful for open fields. In “field conditions,” scientists are still looking for ways to narrow the gap.
Harper added that in the future his group will consider the genetic structure of plants (just what Bayer introduces into their algorithms) and will try to spread the technology. Their goal is to develop open source technology at the interface of data collection, sensing and machine learning, and so on.