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Стартап

DateDate: 2-01-2019, 09:27


Personal non-property and property rights for the invention belong to the author and protected under current legislation.
 The idea is that the function of the conventional tape that is used for industrial purposes, with the help of new technology, increase in the direction of the food component. 
 The world has almost created edible packaging, which is now in the process of experimental testing. Edible adhesive tape which can have different colors and different flavors, is made on the principle of normal tape, only all the components are harmless for human health ingredients. Gelatin base provides its own specific properties that will allow us to achieve visual similarity with the conventional industrial adhesive tape. And function gluten the basics, one or two sides,also remain identical to the old example of Scotch. All other components will be disclosed to potential partners or future owners of the present invention.
 Actually, the edible tape "Innovator" can be applicable in a very wide circle. Let's cite a few examples for culinary products ( cakes ), where you gently "attach" to each of these items and organic products; camping or travel where you need to "bond" with each other some items of food ( sandwiches, hamburgers, vegetables and meats, etc.). And more, already in the process of use may apply to this product. 
 We also get rid of the vast quantities of packaging that we use for our everyday life.
 The idea is open for investment and complete its foreclosure.
 +380505238948 

DateDate: 2-01-2019, 09:11

The researchers said they developed an algorithm by which robots can learn to walk on their own. In a preprint document, scientists from the University of California, Berkeley and Google Brain describe a system that “taught a four-legged robot to cross the terrain — both familiar and unfamiliar.”
“Deep reinforcement learning can be used to automate robotic tasks, which allows for end-to-end learning that matches sensory data with low-level actions,” the authors explain. “If we manage to learn movements from scratch, we can make controllers that are perfectly adapted to each robot and even localities, potentially providing better maneuverability, energy efficiency and reliability.”
Strengthened learning is an artificial intelligence teaching technique that uses rewards or punishments to bring robots to the goal. It requires a large amount of data, in some cases tens of thousands of samples.
In experiments with OpenAI Gym, simulating an open source environment for teaching and testing AI agents, the authors model achieved “almost identical” or better performance compared to the baseline indicators for the four tasks of continuous movement.
Source: hightech.fm