Scientists Capture Colliding Organic Nanoparticles on Video for First Time

Scientists Capture Colliding Organic Nanoparticles on Video for First Time

Extraordinary View of nanoparticles in Motion

One of the first to capture the organic nanoparticles colliding and fusing together on video is Evanston, a North-western University research team.  This extraordinary view of chemistry in motion would be assisting North-western Nano scientists in the creation of new drug delivery techniques and also demonstrate to research all over the world on how an emerging imaging technique tends to open a fresh window on a very miniature world.

This is said to be unusual example of nanoparticles in motion wherein the dynamics are significant of two bubbles approaching together and integrating into one.  At first they tend to join and have a membrane between them and thereafter they are said to fuse and become one huge bubble.

Professor Nathan C. Gianneschi leading the interdisciplinary research and working at the intersection of nanotechnology and biomedicine stated that he had an image in mind though when he had viewed these fusing nanoparticles for the first time in black and white, had been amazed.

According to him it was literally a window opening up to the world one has always known but now eventually an image is portrayed which tends to be identical to that of Jupiter’s moons seen through a telescope and nothing can be compared to actually seeing it.

Technique – Observing Transformation / Characterize dynamics of nanoparticles       

Gianneschi is said to be the Jacob and Rosaline Cohn Profess I n the department of chemistry in Weinberg College of Arts and Sciences as well as in the departments of materials science and engineering together with biomedical engineering in the McCormick School of Engineering.

The research that comprises of videos of various nanoparticles fusion events had been published by the Journal of the American Chemical Society on November 17. Liquid-cell transmission electron microscopy had been utilised by the research team in order to image directly on how polymer-based nanoparticles or micelles, which Gianneschi has been developing in his lab for the treatment of cancer and heart attacked tend to change over a period of time. This amazing technique has assisted the scientists in directly observing, the transformation as well as to characterize the dynamics of the particles. Lucas R. Parent, the first author of the paper as well as a National Institutes of Health Postdoctoral Companion in the research group of Gianneschi, had commented that they can visualize on the molecular level how the polymeric matter rearranges when the particles tend to fuse into one object.

First Study – Dynamic Phenomena in Organic Material System nanoparticles

This is the first study of several to come wherein researcher would be utilising this system in order to view all types of dynamic phenomena in organic materials system on the nanoscale.

Organic particles in water, in the North-western research, tends to bounce off each other and some are inclined to collide and merge, thereby going through a physical transformation.  The researchers had the capability of capturing the action by shining an electron beam through the sample wherein the tiny particle, which the largest seem to be only around 200 nanometers in diameter.

Member of North-western’s International Institute for Nanotechnology, Gianneschi had commented that they had observed classical fusion behaviour on the nanoscale and capturing the fundamental growth as well as the evolution processes of these particles in motion had supported them greatly in their work with synthetic materials together with their interactions with biological systems.

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Robotics Researchers Track Autonomous Underground Mining Vehicles

Robotics Researchers Track Autonomous Underground Mining Vehicles

New Tech to Track Underground Autonomous Mining Vehicles

Working underground can sometimes prove to be fateful given the shaky perilous terrain and the lack of oxygen when mining. So, autonomous vehicles were developed to scope the terrain.  But the terrain again proves to be a problem as tracking the underground autonomous mining vehicle becomes difficult.

Problems with tracking underground autonomous mining vehicles:

Navigating underground can be a difficult task as there is no light, a lot of dust and camera blur. Things such as GPS navigation is also difficult because there is no signal or network underground so it is not only a problem for the vehicle itself to navigate underground but is also a problem for those trying to keep track of the underground mining vehicles from land above.

Autonomous mining vehicles have to often traverse rocky, dust filled terrain, navigate narrow mazes and overall a very harsh terrain. With the poor lighting in mining tunnels and the dust that is there, often cameras also become useless in such terrain.

Problems with current methods of tracking autonomous mining vehicles:

The current methods of tracking underground autonomous mining vehicles are not only expensive but also involve major modifications to infrastructure and costly sensing.

For any mining enterprise keeping track of all the companies expensive autonomous underground mining vehicles is not only very important but on top of that if you add expensive ways of keeping track of the vehicles and a need to make major modifications to the existing infrastructure then that makes the whole enterprise all the more unprofitable.

As mentioned earlier, Global Positioning Systems or GPS cannot be used because of the rocky terrain and wireless Sensor networks also prove to be worthless in such terrains because of interference from the rocks in the terrain. All in all tracking underground autonomous mining vehicles is not an easy or even cheap task. That is until now.

New tech to track underground autonomous mining vehicles:

Since sensors are expensive and making major adjustments to the infrastructure is out of the question, researchers have found a cheaper alternative to navigating through such a terrain using cameras.

Mathematics and biologically-inspired algorithms were the winning combination when it came to tracking underground autonomous mining vehicles. A camera mounted vehicle was able to track the autonomous vehicle in underground tunnels to within a few meters.

Previously, experiments concerning the camera mounted vehicle were unsuccessful. Researchers had to add artificial intelligence to the camera so that it was able to discern the terrain it was navigating and to also disregard images that were blurry, dust filled or affected by the poor lighting in an underground setup.

Now researchers have tested tracking the underground autonomous mining vehicle on two occasions in Australia and have a third expedition lined up. So far the intelligent camera has proved highly useful and the researchers hope that it continues with the same track record in their third mining job as well.

If an underground autonomous vehicle can be tracked within a few centimeters then tracking the mining asset later on is no problem.

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Data Analytics is Great, But There’s Still Room for Improvement

Data Analytics is Great, But There’s Still Room for Improvement

From its earliest inception, the concept of data analytics or business intelligence has proceeded forward at a rapid rate. But as the capabilities increased the accessibility has not always kept up. Data analytics is more in demand than ever before, but its impact has yet to reach its full potential.

To understand why and when this game-changing capability will reach full maturity, explore this quick overview of the past and future:

Stage One – 1990s

The first forms of data analytics relied on huge stacks of data. This data existed in databases built for transactions rather than analytics, which made them expensive to establish and difficult to manage. Only the largest and most forward-thinking companies were making the effort.

The concept gained little traction at the time mostly because it took a huge effort to deliver what we would now consider fairly shallow insights. Users were constrained to a very limited number of queries – usually those predetermined by an analyst – and data was segmented and siloed rigidly. The potential was there, but the technology was not yet advanced enough to make analytics broadly or deeply valuable.

Stage Two – 2000s

The second stage is characterized by the rise of self-service data analytics. Instead of relying on database managers, users were supposed to be empowered to access the right data on their own terms. The problem was that governance broke down and data quickly became a disorganized disaster.

Many of the problems found in stage one were only exacerbated in stage two. It ultimately took more time and effort to manage data, and the resulting insights were even less reliable. The takeaway for all involved was that data had to have structure and standards in place before it could become intuitive and accessible.

Stage Three – Present

The current trend in data analytics is platforming. With the rise of cheap, cloud-based databases it became possible to integrate real-time data from multiple disparate locations in one place. The time spent looking for data was minimized, and users were empowered to ask as many queries as they wanted.

With something like an embeddable analytics dashboard the dream of true self-serve analytics has been realized. The user is in complete control, and she is able to dive deeply into data without needing specialized tools or training. Not only that, she can also insert the dashboard to a website, a customer portal or wherever she needs it most.

Analytics is more accessible to all, from the end user to the IT managers maintaining the back end.

Stage Four – Future

Everyone is excited about what data analytics is already delivering. But higher hopes hang on the future when data collection, storage, and analysis all kick into a higher gear. With the rise of connected sensors and other digital touch-points it’s possible to collect ever increasing amounts of data. As storage and processing capabilities advance, it will become possible to conduct analytics on a much grander scale than we do already.

That increase in power will be matched by improvements in the user experience. As analytics becomes a standard tool for professionals in all industries and at all levels the means of accessing data-driven insights will improve dramatically. Expect a near future where every question is immediately followed by an accurate answer.

As exciting as the future of data analytics is, there is the real risk of being left behind. The companies that are implementing and experimenting with this technology now are the ones in the best position for the future. Those that are not will find it harder to implement analytics into workflows and company culture no matter how intuitive future capabilities are. Success down the road depends on preparation and action now.


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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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