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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.

DateDate: 8-04-2019, 05:17

The electronics manufacturer Bosch, together with the German energy company Wien Energie, presented a refrigerator that runs on blockchain technology.
This is reported in the press release Wien Energie.
The refrigerator uses blockchain - the technology on which cryptocurrencies operate - in order to determine from which source electricity comes and to inform the user about it. The user, in turn, will be able to choose a supplier.
“This means that everyone decides for himself where the electricity comes from: from the solar photovoltaic system, from the neighboring building or from the wind power plant,” explains Wien Energie.

DateDate: 7-04-2019, 06:05

If you have an old smartphone that is gathering dust on the shelf and you want to use it with benefit, you may be interested in the new robot on the smartphone created by the Besmani company team.
Besmo is a smart robot that uses the capabilities of your smartphone, including artificial intelligence functions, which allows it to receive voice commands, as well as provide communication via Bluetooth, GPS, Wi-Fi and high-speed mobile Internet.
 
“Besmani develops robots that are similar to other family members, friends or pets. Computer science teacher and founder of Besmani Mehdi Besharat designed and created a smart home robot called Besmo. Besmo is a new type of robot that has several functions borrowed from smartphones ... Besmo is also part of a new type of robot that has many functions similar to those you can expect from a computer. The high-intelligence robot of the future surpasses the average robot on the market. Thanks to the integration of smartphone functions, Besmo becomes an ideal companion for everyday use. Besmo is compatible with Apple's iPhone, Windows Phone, Android and Google Pixel smartphones. ”
Check out the demo below to learn more about the robot-driven smartphone, which is currently available for pre-order on Kickstarter for as low as $ 199. After starting mass production, the suggested retail price is $ 499.
It should be recalled that crowdfunding campaigns are designed to raise funds for the launch of mass production of the product, but such campaigns do not always end with the delivery of this product to the doors of pre-customers.

DateDate: 6-04-2019, 07:08

The company Xiaomi has built an inexpensive Star Trang Telescope telescope. The novelty was presented within the framework of the 9th Anniversary Mi Fan Festival at the age of nine Xiaomi.
Yak write Gizmochina, tse amortsky telescope. Tsim can be explained and satisfied with the budget.
Specifications. Xiaomi Star Trang having created special curved lines with a diameter of 23 mm and 10 mm. Zagalom the entire telescope, yak one great lіnza zagatosharovym pokrittyam, polіpshuш optical characteristics of the system.
Read takozh: A resident of the United States filed a position against Apple: whose reason
The telescope of equipments with a tripod with stainless steel became special and extra dim extra hard disks, so that you can lock your eyes with the eyepiece and accessories.
Yak coveterer, tribute, give zmog to skin sposterіgati behind the sky or garnim kravvidom.
Telescope Xiaomi Star Trang
Price Yak mi vzha zgaduvali, telescope viyshov duzhe budget. Yogo was estimated at 599 yuan (89 dolar abo 2,400 hryvnia). At sales Xiaomi Star Trang Telescope nadіide of 9 April.

DateDate: 5-04-2019, 06:38
The development team at Carnegie Mellon University was able to teach the robot to independently cut vegetables (cucumbers and tomatoes). He is able to recognize the size of objects, on the basis of this data the robot can find the optimal capture location, and also calculate the width of the sliced slices.
For this robot, a special algorithm was written that helped him reproduce the human movement. It should be noted that cutting vegetables requires processing a huge amount of data. This robot is able to analyze objects: in order not to disturb the shape of soft objects, it interprets their consistency.
This device was trained independently, using several photos of already cut vegetables. Through these images, the robot "understood" on slices of what thickness should be chopped vegetables in order not to spoil their shape. After that, the engineers started the second stage - the training method of the imitation movement. Initially, the experts independently controlled the manipulator that held the knife, after which the robot was able to successfully repeat human movements.