Researchers Create Quantum Calculator

Researchers Create Quantum Calculator

A Harvard physics department lab research team, led by Harvard Professors Mikhail Lukin and Markus Greiner and MIT’s Professor Vladan Vuletic formulated an exceptional kind of quantum computer, best-known as a quantum calculator. This is programmed by acquiring super-cooled rubidium atoms with lasers as well as composing them in a special command, then permiting quantum mechanics to perform the requisite calculations.

The quantum calculator could be utilized to cast light on a concourse of analyzable quantum processes, comprising the connectedness betwixt quantum mechanics and material properties, as well as it could look into new stages of matter and figure out analyzable real-world optimization issues. The method is delineated in a Nov. 30 paper publicized in the journal Nature.

In the future, quantum calculator will be able to cope in an instant with computational tasks that today’s computers would use for years. Tomorrow’s computers will develop their enormous computing power from their ability to simultaneously process the various pieces of information that are stored in the quantum state of elementary physical systems, such as atoms and photons.

But to have such an ability to operate, quantum calculator must exchange these pieces of information between their individual components. Photons are especially suitable for this, while particles of matter will be used for the storage and processing of information.

Currently, researchers are looking for methods that allow exchanging quantum information between photons and matter. Although this quantum calculator has already been experienced with sets of many thousands of atoms, a team of physicists \has now shown that quantum information can also be exchanged between atoms and photons in a controlled manner, reports a press release from the journal Nature.

“In addition, this quantum calculator offers the opportunity to check whether the quantum information stored in the photon has been correctly written in the atom without destroying the quantum state,” adds Lukin. This allows to determine at an early stage if a calculation process should be repeated due to a storage error.

The fact that, until very recently, no one had achieved the exchange of quantum information between individual photons and atoms is because the interaction between light particles and atoms is very weak. To understand this quantum calculator easily, researchers put the following example in the statement: “It is as if atoms and photons do not notice much of each other, as if two guests at a party barely spoke to each other and, therefore, only exchange a minimum amount of information. ”

The trick is in the interaction between atoms and photons

To improve this interaction, the scientists used a trick: They placed a rubidium atom between the mirrors of an optical resonator, and used a very weak laser to introduce individual photons into the resonator. The resonator mirrors reflected the photons several times, which improved the interaction between photons and atoms. Following the previous example, now the guests are seen more frequently, which increases the chances of being communicated.

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YouTube is Launching Music Streaming in the Next Few Months

YouTube is  Launching Music Streaming in the Next Few Months

YouTube will launch Music Streaming “Remix” service that will make Spotify compete

Although YouTube multiple past efforts to deal with Spotify and Apple Music were not successful, it seems that they will not give up in their effort to conquer the music streaming market.

Determined to try again, YouTube is supposedly working on another subscription service that would be released to the public in March 2018, allowing anyone to music streaming to their devices, for a monthly fee.

The service is likely to be called Remix, Bloomberg reported, and although it focuses primarily on music streaming, it could also include relevant YouTube videos. The new service seems ready to consolidate Google Play Music with YouTube Music, an application that arrived in 2016 offering free music, but with ads.

The process of trying to reach this market and explore the subscription platform has been long and tortuous. Google launched Google Play Music in 2011, but it did not have the same success as rival music streaming services. For its part, YouTube launched Music Key in 2014, offering subscribers music videos without ads, but neither achieved the expected success. Trying to give another twist to the idea, YouTube Red arrived in 2015, allowing users to see all videos without ads, while offering original programming, offline viewing and background playback, for $ 10 a month.

Allegedly YouTube, owned by Google, now signed an agreement with Warner Music Group for Music Streaming but is still in talks with other companies, which could join Sony Music Entertainment, Universal Music Group, and Merlin Music, a consortium of independent recording labels.

The report says any agreement “could help appease the record industry executives, who have been demanding more revenue from YouTube.” Some claim that the recent growth enjoyed by the music industry would have been even greater “if it were not for YouTube”, claiming that the service does not pay them enough, considering the number of people who use it to listen to music.

The subscription costs for this new service have not yet been mentioned, but it could be that Remix tries to offer a lower price than Spotify and Apple Music, with the aim of giving a convincing reason for users to change platforms, or so that new subscribers are registered for the first time. Currently, Spotify and Apple Music offer basic transmission plans for $ 10 a month.

While there are other music streaming services, such as Pandora or Soundcloud, the reality is that Spotify and Apple Music have positioned themselves as the two main players, with Spotify reaching more than 60 million paid subscribers, and Apple Music to 30 million. Only time will tell if YouTube Music Streaming manages to take a piece of the pie.

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2017 Innovation and Entrepreneurship Expo opens in Beijing

2017 Innovation and Entrepreneurship Expo opens in Beijing

Mesmerising the world with innovation at the Entrepreneurship Exhibition Expo in Beijing

Entrepreneurship Exhibition Expo is always a delight to be a part of but the Chinese entrepreneurs are simply taking the world by storm this time around. For quite some time in the world technology we had bit stagnant phase when it comes to innovation but now it feels like innovation is back in the vogue.

We are now witnessing the emergence of science fiction realities which are too unbelievable to fathom in creation. The most exciting part of the 2017 International Innovation & Entrepreneurship Expo in Beijing has been its unique robot which can easily play the age old game of guessing fingers against the human opponents. This Chinese Expo brings some of the best and notably small entrepreneurs together to showcase their amazing creation at the three day event conducted at the famous Beijing International Convention Centre.

Expo Riding on the wave of robust technological advancement

China is basically known for its ability to produce hardware at a breakneck-pace but it has never emerged as a formidable software front for the world. But within the last decade things have drastically as the American tech companies were pushed aside from the Mainland China market it allowed a favourable condition for the home grown tech starts-ups to gain the massive market share.

Currently this nation has more number of successful tech giants than anywhere else on the planet. Secondly the Chinese population has been active in adopting the new and latest technology without any inhibitions.

It is worth noting that more number of people nowadays makes use of Alipay – a mobile payment system – rather than physical money to buy products and services in the offline world. The biggest draw of this Exhibition Expo has been the robot which was leaving everyone surprise with its ability to correctly find the finger in the finger guessing game.

Innovation Expo is at its height

One of the exhibitor at this exhibition showcased how high end drones work s in the air. Secondly the VR technology saw a huge boost in the offering from multiple exhibitors bringing an astounding display of virtual reality.

The IronMan robot was quite charming as this service oriented bionic robot kept attracting the attention of the people. Though a number of people were decisive at it appearance which was more in the like of the Transformer rather than the IronMan.

The developer of this robot goes by the name Beijing Iron Man Technology and it stated that this robot is designed to be utilized in the display industry mainly.

The ‘Good Friend’ was quite memorable for its large blue eyes and quite intelligent talking skills. It was quick to reply back with a warm ‘hello’ upon hearing the same from anyone in the crowd and if no-one talks with while standing just in front of him then it urges the person by saying ‘What to do, talk to me about it.’This Entrepreneurship Expo brought a large number of humanoid robots onto the display along with some of astonishing scientific and technological exhibits which are futuristic in every manner.

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Using Machine Learning to Explore Neural Network Architecture

Using Machine Learning to Explore Neural Network Architecture

Google is Exploring the Neural Network Architecture to Boost Its Services

Since the Apple has debuted its neural engine a number of smartphone OEMs and tech firms has started using the neural network to advance the capabilities and features of their services or products. Google has also started making use of the machine learning to explore the benefits of the neural network architecture and it has helped in backing some of its popular services with neural network architecture.  Google has successfully brought the deep learning backed performance boost on image recognition, speech recognition and machine translation with neural network architecture.

Neural Network Architecture: Manual development of machine learning models

The machine learning models with neural network architecture had been designed by the Google engineers and scientists after years of research and development. The search space utilized on all this models happens to extremely large that is typical 10-layer network. The process involved with designing the network is time consuming and the experiments performed in getting the same requires some high end machine learning expertise. In order to get rid of the manual method of designing machine learning models for the neural network architecture Google has come up with a new solution of simply automating the design. Working on the evolutionary and evolutionary learning algorithms has shown immense promise and it will be great for the future capability enhancement on the Google products and services.

New approach better capability with neural network architecture

Google has crafted a new approach named ‘AutoML’ wherein a controller neural net is used to impose a ‘child’ model architecture. Later on this neural controller can be used to train and work on a particular task and then it is used to evaluate. Then the feedback is utilized to make controller aware of the shortcoming and improvements to be made to get the optimum performance. In this way Google goes on implementing the neural network architecture backing while generating new architectures which are further improved upon through rigorous testing and feedback from the generated from the usage.

Finding the right neural network architecture

Google has used its approach to experiment ion the bench marked data sets right with the deep learning for the image recognition related processes. The neural network architecture chosen and generated by the machine learning helps in bringing a number of specific features. It also helps in bringing a number of new elements like ten presence of the multicative combination which are not common in the recurrent networks. Google has went a simpler form of this very approach which is suggested by the human designers rather the artificial intelligence. The best thing about using the multicative combination is that it helps in alleviating gradient vanishing along with exploding issues. On other the machine chose architecture apt at finding a useful and smart neural net architecture for this job.

Google research on neural network architecture has shown that certain types of neural nets works better than other but the time taken in synchronizing it with machine learning is quite astounding. Google is carefully analyzing and testing the machine-generated architecture which essentially helps in creating neural nets tailored to fulfill specific needs of the users.

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Spend $2100 to Get Double Bionic Arm to Perform Unbelievable Feat

Spend $2100 to Get Double Bionic Arm to Perform Unbelievable Feat

Manual labor is a tough job and if we can get some help whether it is a fully-fledged robot with multiple arms then it would be great. A firm going by the name Youbionic has come up a very unique bionic arm which offers some extraordinary abilities to the wearer. This bionic arm has a very simple and just control wherein users can move fingers can help in opening and closing the fingers to grip anything better. Youbionic has placed small sensors in the fingers area of the contraception which allows users to precisely grip, pinch and left objects by moving their each finger independently.

A new technology for new generation bionic arm

Youbionic has states that it has taken first constructive steps towards building such devices which can allow human beings to obtain extraordinary abilities and capabilities with the right mix of technology.  Youbionic has become successful in coming up with the first device which simply turns the native human into an augmented human which often seems like human race is evolving something new. The creator of this technology is an Italian designer going by the name Federico Ciccaresse.

Bionic Arm a great device for a new tomorrow

This bionic arm is 3-D printed from the nylon dust. The best thing about 3D printing is that users will be able to print it online by simply downloading its design from online repository and use their 3D printer to create one for their own use. It is worth noting that interested users wouldn’t have to download and print different components of this device separately rather it is designed in a single piece with all the moving components intact thereby allowing users to get it done with a single print. In order to reflect the brain signals in the actual movements of the hands a unique type of microcontroller is being used called Arduino.

Keeping the price reasonable for bionic arm

YouBionic has stressed that their prosthetics will be made available to the wider audience at a highly reasonable price. The creator of this bionic arm has clarified that there is enough electricity in the muscles which can be utilized while using this device. This device works effectively by reading the impulse sent to the muscle by the brain and translating it into a number to the contraption and in the final stage this message is sent to micro controller.

YouBionic is hopeful that the amputees will be able to benefit from this device by simply updating the software as well as hardware of their limbs which is just like updating any smartphone. The best thing about this bionic arm is that it can even be used a healthy human being as a third limb. A prime example showcasing the benefit of having a third limb will be the astronauts going out on the repair missions on the International Space Station. The future application of this device is simply limitless and very soon we will be seeing human being having the capability of the popular superhero ‘Iron Man’.

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