Tuesday, April 18, 2017
Smart Clothing- Near Future!
Your underwear does not help you with the tax, but the memory can quickly know when they need air. The smart model is the next wave of textiles and promises consumers to dazzle the style and innovation. Here are some products that look very hot in the future track.
Researchers from the UK have developed flow-adaptive tissue that controls the flow of air through the invisible micro-chopper with increasing humidity. The individual sheets keep the rain even when the air flows.
Adaptive organizations like this are currently being developed in different ways of underwear, sportswear, and fashionable products. Paint home room? It is not necessary to change the curtains by simply pressing a hidden button to adjust the color and texture to match your new decor. By means of new means of conductive material means to connect the sensor to the network of the processing equipment.
The technique can produce fabrics that depend on your mood or new wallet discoloration. The army is also interested in the technology of chameleon technology to improve camouflage. Another area is the development of smart clothing portable computing. Head-mounted displays are available online. Other high-tech features are embedded in his jacket and equipped with MP3 backpack fabric keyboard cuffs, GPS solar panels and battery charging.
These new "techstyles" are not different designs in his grandmother's flannel pajamas. The design of smart clothing requires a team of artists, designers, scientists and engineers who combine their own talents to create such attraction and functional clothing. Biotechnology has the potential to minimize the potential for less impact on the environment. Looking forward to seeing a lot of innovation in the textile industry and fashion industry over the next few years due to advances in bioengineering, nanotechnology and 3D laser scanning technology
Samsung S8 launched in India!
Nowhere, however, does not mention the phone will be available in the Flipkart program, there may be other e-commerce players such as Amazon India can sell these devices in addition to online shopping in India .
Samsung displays all and 360 gadget will give all the details on the field Wednesday. GALAXY S8 and S8 + will be in the Midnight Black colors, coral maple blue and gold on the Indian market. Detailed information about the awards will also be unveiled at the event. Smartphones have similar requirements, the size of the battery display anomaly. Other variants Exynos 8895 arrived in India, rather than the Snapdragon 835 variant.
S8 galaxy with diagonal AMOLED 5.8 inches QHD + (1440 x 2960 pixels), having 6.2 inches QHD + (1440 x 2960 pixels) + S8 Galaxy Super AMOLED display screen. Both Corning Glass Gorilla two phones are equipped with 4GB of RAM, and is equipped with 64GB internal memory, and supports memory expansion via a microSD card (up to 256GB). Two galaxies Galaxy Galaxy S8 + S8 and equipped with a 120000 pixel "two-pixel" rear camera with optical image stabilization and aperture f / 1.7 and 8 million pixels autofocus camera, equipped with an aperture Of f / 1.7 progressive.
Samsung Galaxy and Galaxy S8 S8 + connectivity options including 4G LTE (Cat 16), 802.11ac Wi-Fi standard (2.4GHz, 5GHz) and Bluetooth V5.0, USB type C, NFC and GPS. The sensor comprises a plate accelerometer, an ambient light sensor, a barometer, a gyroscope, a pulse sensor, a magnetometer and a proximity sensor. It also supports the remuneration of Samsung and NFC connection and MST.
Support GALAXY + S8 and S8 wireless charging and fast charging. When the Galaxy battery and Galaxy S8 S8 + 3000 mA and 3500 mA. Galaxy S8 is 148.9x68.1x8mm, the weight of 155 grams. Galaxy S8 + 159.5x73.4x8.1mm waist and weighs 173 grams.
Monday, April 17, 2017
Welcome to silicon Valley
Silicon Valley - is a nickname south of San Francisco Bay in northern California. The name "valley" refers to Santa Clara Valley in Santa Clara County, including San Jose and Zhou Bian Town, a region where tradition is centered. The area has been extended to the southern part of San Mateo County south of the San Francisco Peninsula and East Bay Alameda County.
Originally, the term "silicon" refers to a large number of integrated circuit manufacturers and regional innovation, but the region now has many of the largest high-tech companies, including the Fortune 1000 in the rally headquarters of 39 companies and several thousand. Participate in the Silicon Valley, across the US venture capital investment, by helping her one-third to become a leading hub and run the system in high-tech innovation and scientific development. Silicon Valley based chip was developed, microprocessor and microcomputer, one of the key technologies of the other. From 2013 to work in the area of about one million people a quarter of information technology [1].
Until Santa Clara Valley has created a high-tech company, then to San Francisco and two other large Auckland cities, in the north of the Silicon Valley area, known as "Silicon Valley" will eventually become applicable to all high-tech enterprises in the region. . Nowadays, this term is often used as a synecdoche for the high-tech sector in the US. The name has become a high-tech field that has led to the creation of a global structure comparable to the world's leading research and similar research in these places, as well as research parks and technology centers are synonymous.
Teach Robots to see in 3-D
The computer vision is ready for his next big test: see 3D. It will be a new contest next year, IMAGEnet Challenge, stimulate the development of image recognition algorithms, which is designed to help robots see the depths of each exchange.
Since 2010, scientists have been IMAGEnet database, set of object information tags they represent more than 140,000 images consisting of the image recognition algorithm by hand. Before workout, to set another set of tasks a more detailed picture on almost every computer vision system, yes.
Every year on a large-scale visual recognition IMAGEnet is trying to participate in the challenge code, you can classify those images with the least error algorithm. It was seven years ago, this is a difficult task, but now the computer vision is a big picture in the classification.
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In 2015, the Microsoft team has created an excellent system to 95%, more than one person on the challenge of performance history. By allowing people with photo applications Google and Apple to look for their photo collection using such as food or baby. Google photos like abstract concepts, the same kind of "happiness" image.
"When we started this project, there are no industry to deal with," said Alex Berg of the University of North Carolina at Chapel Hill University, who is one of the organizers of the race. "Now, these millions of people use the product."Presentation of the real world
Therefore IMAGEnet team to say that it is time for 2018 new challenges, although the details of this tournament have not been decided, then this will be the vision of the computer has not been solved the problem: Creating can be classified in real objects, Use natural language to describe your system.
"There is very little work on the 3D scene using machine learning algorithms," Victor said at the University of Oxford. A large database will allow the robot to build a three-dimensional image of information supplement data to determine the best way to place the object and the circumstances around them to pass the training. This database will contain images of homes and other buildings inside the scene.
The existing IMAGEnet database contains collected from the Internet and then manually tagged images, but they do not understand the depth of information required for the 3D scene. Berg said that the new competition for the database can be photographed by a numerical model to simulate true depth information from the environment or 360 degrees contained. But first someone has to do these images. Due to the difficult and expensive, the dataset can be much smaller than the initial challenge.
IMAGEnet vision robot ready in a moment, said Andrew Davidson Imperial College London. He opted for the next generation of robots, support devices such as Floor Cleaning Roomba home. They know how to handle objects and manipulate the world around them, he said. "I really think you have to shape the world, this detailed 3D understanding, but what is semantic understanding there," he said.
Dai Weisen said that the new challenges will be strengthened and virtual reality. You know where the object is to help the extended reality system in the real world, such as Microsoft HoloLens described virtual objects. "It's the same opportunities," he said.
Berg does not expect much progress in the new challenges of the first two years, but an idea of what might look like success. Finally, count on the work, you can continue to find out about their surroundings, and explain what they see, and also the human person. But none of these things is more than five years old, he said.
Amazing A.I - Alexa
Recent film tabloid film with a woman who asked Alexa, if she is connected to the CIA. Then Echo Point, talk all the time, and not answer that question. She repeatedly asked, every time the echo of silence. Conspiracy theorists say. This is an interesting film, but the title "clickbait" Daily Mail raised a legitimate question: if Alex can cheat?How Alexa
According to Amazon, you can use Alexa Voice Services (AVS), to add a smart control to have product connections from its microphone and speaker. "Alex use this learning machine to help you realize that you say (automatic speech recognition) and understanding (NLU), and then transmits the required information.
You can think Alex is in any voice control application. Instead, press the button on the phone, he told me. But Ferguson does not "think" you, the system transmits the demand to the efforts to bring back the good result of the algorithm. Indeed, if the request to enter the search Amazon band or Spotify or Google. In addition to product availability or a song or a search result is what Alex said or played.Programming answer
Pre-programmed response Alexa is not much AI. This is real life. For example, asking questions about the Alexa żartowi says: jokes "Toc, toc" or "Back to School", randomly selected from a list. Q: "This is the chicken or the egg? ", Or how much weight Alex Alex was born, or pre-programmed responses provided by Alexa in response to thousands of" life, the universe and everything. " ". To answer these questions is a lie? Of course. Whichever system was programmed to return to return. Alex can not question whether or not the lie is the wrong question. If someone can build a database of other companies "lie"? Of course. But what is?Really ask
The question now is, "whether the Alex voice service can understand natural language understanding algorithms to explain the problem, and deliberately false response? Again, the answer is no, because of how the system does not work. Dokładaniu every possible effort to know what you say, put the information sent in response to the databases to wait and answer questions. But ......What about other AI systems?
Here, life is fun! From November Zhi January 31, 2017 libratus (AI system design to Carnegie Mellon, No-Limit Hold'em game heads-up), beat the best poker players of the world's four hundred hands 120,000. People not only lost, but reached several million before the end of the game.This is a very big
In March 2016, when AlphaGo beat No. 9 Dan Devin Wu Qingyuan Li Shishi Google DeepMind challenges, surprising AI system that can beat a person needs strategy and intuition while in a game. However, with this incredible achievement (There are 237 in the sport game changed my life, I titled "You AlphaGo: not a fair fight," the article wrote this), taking the game two players called "perfect information" game. Theoretician In other words, both players can see the whole board and learn the rules.Poker is Different
In the no-limit heads-up Texas Hold'em, you want to win five cards on seven possible cards, so your opponent. You do not know the two "wild card" of the opponent's identity, so you have to guess where your opponent can put 169 back. Game theorists call "imperfect knowledge" or "incomplete information". It is like life. Tamas Sander Holm, libratus science and computer science professor found the feeding system, which helps to create, he said: "The best AI intellectual ability strategy of incomplete information was made from Of the best people that "In other words, the computer can now extract people.
Lengthen all known living things, AI
Ask anthropologists, children quickly learn to lie (not just the baby). You will learn how puppies learn to use different types of voices that scream to manipulate their mother's attention. Hungry cry, you can use, even if the child is not hungry to get out quickly from there. There are plants and camouflage or use lures to deceive their tens of thousands of prey. Life is from birth. They were born for that. Thus, the AI system. It is inevitable.
The tallest Building in the world with U shape!
Yannis Oconomo said his company is looking to invest in CNO Studios to design the construction company insider, now called the big bend. The thin towers are double curved and are a world trade center, which is currently about 200 feet above the city's tallest skyscraper.
The total height of the tower is measured from one end of the 4000 feet - which is almost twice the size of the world's tallest building, Dubai Tower in Dubai.
The residential building, located on the "billionaire line", extends along the southern border of Central Park, which is the hallmark of many other luxury high-rise buildings, the company Oikonomou told. He said he thinks the developers plan because they do not take up too much space and will become a desire to have a lot of owners living.
"Big Bend appears except for other matters that should pay attention to the fact that New York has become a huge hotel," he said.
Amazon Go!- Automatic shopping Experience
Amazon has announced its first grocery store in Seattle's private beta test known as "Amazon He" and is expected to open to the public early next year high-tech city.
The biggest advantage: no output line.
The company did not provide the shadow of the media or answered questions about how it worked. However, Amazon has posted online video and frequently asked questions, and the company does promptly put his hand on the last year in which the lecture focused on where the patent was originally re-encoded by new technology.
When the buyer needs to locate the location on the shelves and then synchronizing the data with the mobile device,the RFID technology in these applications includes describing a system
[Update, January 13, 2017, Although the above patent application relates to RFID technology, Amazon said RFID is not implemented in Amazon to store him. ]
The system records the elements and the buyer continues to move forward without having to go with the traditional exit route. When the customer leaves the store with the "transition zone", the system detects the transition, adds the project and manages your Amazon account.
At the new Amazon store to Seattle, the consumer in 2017 used a smartphone to enter and leave the phone at the store. (Photo of Amazon YouTube)
At the new Amazon store to Seattle, the consumer in 2017 used a smartphone to enter and leave the phone at the store. (Photo of Amazon YouTube)
apply for patent:
For example, if the storage is not stopped from the ATM, the ATM or the automatic checkpoint is "withdrawn" from the storage, the selected element is known and it is determined that the user who purchased the list of items associated with the user Item, the user can only leave the socket position. The product detected by the output member and when the user passes through the opening (flow path area) without the need to stop or otherwise delay the use of the product automatically charged).
The patent application indicates that the system can use past historical records to determine when the buyer acquires the item when it collects.
For example, The inventory management system may consider the history of other storage locations that have been selected recently and/or the object if the management system can not determine whether the selected item is a bottle of tomato sauce or a mustard bottle. For example, if you still only collect/buy tomato sauce, this information can be used to confirm that you may choose the stock position of the tomato sauce.
When the customer needs a project and adds a virtual shopping cart to Amazon's automatic detection. (Photo of Amazon YouTube)
When the customer needs a project and adds a virtual shopping cart to Amazon's automatic detection. (Photo of Amazon YouTube)
Amazon in its online FAQ and video, they use the technology, such as sensor fusion, which collects data from various sensors in order to improve the reliability and accuracy of the results. The following is a demonstration of how the patent data describes the intersection of the sensor data.
In some implementations, data from other input devices may be used to identify items that are collected and/or placed in storage locations. For example, if it is determined that the item is placed in the position of the list, in addition to the image analysis to determine that the component is based on a weight of a wide pressure sensor, load, etc., set the data received at a location. Image analysis can reduce the list of elements that correspond to a small list of potential elements. The counterweight element may be correctly inserted with the stored weight for each identification element to potentially match the weight placed in the stock location. By combining multiple inputs, a higher score of confidence can be generated, which increases the likelihood that the identification element is actually stocked by the selected location and/or placed in the inventory.
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