Researchers have created an ultra-thin system of energy collection that can generate small amount of electricity when bent or stretched. The device can be embedded in clothing and charge your phone or other gadgets, writes Featured.
"I expect that in the future we will all charge our personal devices, drawing energy from our movements and the environment," says Cary Pint, the assistant Professor of mechanical engineering at Vanderbilt University, Director of research.
Currently, many studies aimed at finding effective ways of using external sources of energy. These include mechanical devices designed to use energy from vibrations and deformations; thermal device to obtain energy from temperature fluctuations; radiant energy devices that receive energy from light, radio waves and other radiation; and an electrochemical device that uses biochemical reactions.
The researchers acknowledge that one of the problems is the relatively low voltage produced by their device. It is melfalanom range. However, they are trying to increase the production of voltage.
One of the most futuristic applications of this technology can be clothes, covered with LCD displays, allowing owners to change colors and images with your smartphone.
Amazing design appeared in the United States.
The company DeepMind (owned by Google) has created a new type of artificial intelligence that can use their "imagination" to create an image of the near future and plan his actions. He proved to be more accurate and efficient than conventional AI, reports the Chronicle.info with reference to high Tech.
In a posting on its website, DeepMind researchers provided a brief overview of the "new approach to planning based on imagination." The so-called agents augmented by imagination or I2As (Imagination-Augmented Agents) use the built-in "code of the imagination", which helps the AI to decide which assumptions about the future events is correct and what is not.
Recently, the founder of DeepMind, Demis Hassabis wrote an article, published in the journal Neuron about how the development of AI depends on the encoding of human abilities such as imagination, curiosity and memory. I2A is an attempt to copy these functions of the human brain.
The new algorithm was tested on the puzzle game Sokoban, where the little alien have to push blocks to the right place. They can not pull, so one wrong move leads to losing the round. The researchers gave artificial intelligence only one attempt that forced him to scroll "in the head" various options and the possible outcome of each movement. Only after such verification, the AI has made real progress in the game.
I2A was better than the AI without "imagination". He has learned to quickly navigate the puzzles, extracting more information from the simulation gaming events. When the researchers added in AI "Manager" who was checking plan future action, the system began to solve problems faster and more efficiently.
Of course, the type of computer "imagination" too far from what people are capable of, however, the experiments prove that the AI might benefit from attempts to predict the future and plan their actions and decisions.
See also: Scientists have invented a special Navigator for the blind
Swedish expert in the field of artificial intelligence Nick Bostrom believes that DeepMind more likely to create humanoid artificial intelligence. And it can happen in the coming decades.
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From the world famous spinner has appeared not less interesting competitor. New hand-held gadget is called the Orbiter.
This new product consists of ring and ball, which revolves around him. They are almost identical, but the spinner is spinning due to bearing and Orbiterе used a magnet. And spinning it may variety of ways that makes it more interesting among children and youth.
Although I must say that spinners, appearing recently, flooded the markets and the hands of children and teenagers who literally never part with it. So he was able to merge with the public.
A Japanese research group led by Professor Ken Takeuchi (Ken Takeuchi) from Chuo University (Chuo University), presented at the conference of 2017 Symposia on VLSI Technology and Circuits, which is dedicated to semiconductor technology and which was held recently in Kyoto, a new method that combines data compression technology and enhanced reliability of information storage. This method, implemented in a hardware / software controller for SSD disks, allows to increase the reliability, and the retention time in 2900 times.
One of the main problems of the nonvolatile NAND memory used in SSDs and other high speed storage devices, is the limited number of cycles erase/write. To increase this resource is usually used methods of data compression implemented within a disk controller at the hardware level. One of the most common compression methods is a well-known Huffman algorithm, which splits all the data, converting the sequence often appears in short chains, and not very often a repetitive sequence in a long chain.
Japanese researchers have proposed the use of a little modified Huffman algorithm, allowing at the same time to raise the data compression and increase reliability of their storage. Frequently recurring short chain in the new algorithm are written to a more secure area of memory, and longer chain, less reliable memory.
The SSD controller-discarnate a more robust memory means in this case, the use of only six or seven values of the eight possible values that can be stored in one cell of a three-bit (triple-level cell, TLC).
Of course, this approach reduces the effective capacity of 6.9 percent and 16 percent respectively. But on the other hand, these cells in their work allow quite a wide spread of threshold voltages and, as a consequence, provide more reliable storage of information.
After testing the proposed method, the researchers found that the method of storing six data values in one TLC cell reduces the likelihood of errors during data storage at 92%. And this, in turn, means that the time reliable storage of information is increased 2900 times.