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Amazon Smart Stores: “Retails into Digital storefronts”

What are Smart Stores?

Amazon, in an effort to convert retail shops to ‘Digital storefronts’ launched an initiative specifically for India called “Amazon Smart stores” 

When a customer walks up to the storefront and scan the QR Code struck at the shop, the whole inventory shows up in the app.

The customers than can pay using Amazon pay since it supports all UPI, debit, and credit cards. This way people can maintain Social distance too.

The may be Motive

In January, when Jeff Bezos visited India, members of the Confederation of All India Traders (CAIT), a consortium of small traders, protested against the company for its predatory pricing practices. 

Since then, the e-commerce giants have tried to create a tie-up with these merchants. In April, it allowed local stores to sell groceries online.

It’s Usefulness:

This is a useful feature in post-epidemic India, where many shops are crowded all day long, and the shopkeeper may not have time to attend every one.

The smart store is powered by Amazon Pay and allows users to pay via credit or debit card, UPI, or convert their order to EMI.

Although the delivery method to customers is yet to be revealed. It may be delivered to customers just outside the store or a delivery agent may deliver the order at the doorstep (like food delivery apps).

Amazon pay is one of the latest kinds of stuff for local shops, the customers can increase the buying experience at all shops even more convenient for safe transactions, in the further, of an idea is EMIs, rewards, and offers, etc. The merchants can increase sales and customers can more affordable and rewarding 

says Mahendra Nerurkar, Ceo of Amazon Pay

Company’s vision:

Amazon says that smart stores will help merchants transform their store into a digital storefront, allowing people to browse their products from anywhere.

The company says they are not taking any cut from merchants till now and thousands of retail shops have already signed up for the program.

Things to know:

This is unarguably a better system for consumers to shop from local stores but few of these businesses like to take cash and under-report revenues to pay less tax, which is a bigger incentive for these businesses than any other..

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Enterprise Secrets Future Technology Science Trending News

“We built a powerful quantum computer”, says Honeywell

Honeywell, a company known for building control systems for homes, businesses, and aircraft, claims to have built the most powerful quantum computer ever.

Though other researchers are skeptical about its power, the company says, it is a step towards integrating quantum computing into its everyday tasks.

Honeywell measured the capabilities of its computer using a metric called Quantum Volume by IBM. This takes into account the number of quantum bits – or qubits – that the computer has, their error rate, how long the system can compute before the qubits stop working, and some other key properties.

“About 220 different algorithms will be used to measure quantum volume,” says Tony Uttley, president of Honeywell Quantum Solutions.

Honeywell’s quantum computer has a volume of 64, twice the next highest quantum volume to be recorded, which was measured in an IBM quantum computer.

“Quantum computing will support for business challenges and scientific calculations and the feature will support also autonomous car improvements and more affordable speed”

said Chief Executive Officer Darius Adamczyk and Honeywell Chairman

Like other quantum computers, it can eventually be useful for calculations that deal with large amounts of data.

“Materials companies will explore new molecular structures. Transportation companies will optimize logistics. Financial institutions may need faster and precise software applications. the discovery of the new drug by the pharmaceutical companies.”

Read more

In order to achieve Quantum supremacy (first claimed by Google), the machine should able to perform calculations that would be troubling for classical computers. 

While Honeywell’s machine has only six qubits so far, the one that Google used to achieve quantum supremacy had 53 qubits.

The feat that was achieved by Honeywell’s quantum computer can even be achieved by a laptop in order to achieve quantum supremacy it should have at least 50 to 60 qubits.

Ciarán Gilligan-Lee of University College London says that having the highest quantum volume could mean that Honeywell’s qubits are remarkably accurate and can be computed over a long period of time, but it is not the most powerful quantum computers available.

Although Honeywell’s machine cannot yet outperform classical computers Uttley says it is a step in the right direction to make quantum computers practically useful.

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Future Technology Science Trending News

China launches last BDS satellite to compete with GPS

China on 23rd this month, launched its 30th and final BDS satellite to complete its own ‘GPS’ like global navigation system BeiDou. The country started the program in the 1990s to begin the first phase. This satellite launch is part of the third phase of the program that began in 2015.

It was initially scheduled for 16 June, although it was postponed for a week after technical difficulties. The Long March-3B rocket successfully lifted off with the latest navigation satellite.

With the US’s GPS, Russia’s GLONASS, and the EU’s Galileo navigation services that provide global services, china now joins them.

This third phase in China’s navigation system plan was designed to provide global services. In 2018, it began to offer Beidou’s services to other countries and regions along Belt Road.

“The BeiDou Navigation Satellite System (BDS) provides a time-and-space location benchmark, which will have a great impact on the social and economic development of the country as well as people’s lives. It will also lay the foundation for building new infrastructure, an important direction for China’s development in the next phase”

stated Chen Zhonggui, chief designer of BDS-3 satellites at the China Academy of Space Technology (CAST).

The latest 55th satellite joins the Beidou’s family to provide navigation services on a global scale.

The BDS-3 also facilitates short message communication service with 1,200 Chinese characters messages.

China is now working on getting Beidou’s approval from international bodies. According to Chinese media, the ICAO will approve the use of the navigation system by the end of the year.

 The report also noted that the proposal for mobile communication supporting BDS-3 has also passed a review.

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Enterprise Secrets Future Technology Science

Is 5G Technology, A gimmick to hike smartphone price!

5G Technology is being slowly rolled out in several parts of the world. Mobile companies are pushing it forward as the technology of the future promising higher bandwidth and lower latency while several groups raise flags against it. So what is 5G and why is it important to know?

Evolution of wireless cellular communication:

The “G” represents the GENERATION of mobile technology. A generation is a set of network standards used to implement a particular mobile system. Each successive generation offered an increase in speed and a reduction in latency.

First generation:

1G or first-generation was first introduced in the 1970s and fully implemented by the 80’s. It was an analog system that was only sufficient for voice calling but with poor quality and no security.

Anybody with a radio scanner can eavesdrop a call. In 1G, the data speed was 2.4Kbps 

Second generation:

2G was launched in Finland by Radiolinja (now part of Elisa Oyj) in 1991. It used a digital system that promised greater security and quality over 1G. It also introduced data services like SMS and MMS. 

At first, the data speed was only 9.6Kbps but further improvements like GPRS, EDGE, and EDGE+ improved the speeds by 171Kbps, 384Kbps, and 1.3Mbps respectively.

Third generation:

After the 2000’s internet boom, the need for faster data speeds paved the way for 3G (UMTS). Individual organizations from Nations like America(ATIS), Europe(ETSI), Japan(ARIB TTC), China(CCSA), and Korea(TTA) came together to form 3GPP.

Theoretical Speed of 21.6Mbps with implementation of HSPA+.

Fourth generation:

4G technology was marked by the introduction of MIMO(Multiple Input Multiple Output) and OFDM (Orthogonal Frequency Division Multiplexing).

LTE (Long Term Evolution) was a series of upgrades to existing 3G (UMTS) to provide high quality, high speed, and security while reducing the cost of data services, Internet over IP, and latency to an average 50ms.

The average speed in 4G is 15-50 Mbps and Max speed is 300 Mbps – 1Gbps

The Need for 5G?

advantages of 5G technology

4G may offer significant speeds over previous generations but it is not enough to usher in the fourth industrial revolution.

The latency and bandwidth cap is simply not enough for usage in real-time systems like autonomous vehicles, augmented reality, etc.

Coverage area

Implementing 5G requires additional cellular towers which increases the number of connections per unit area up to 100x. Hence it can handle the boom in the number of IoT devices expected to join the internet in the coming years.

Reduced power usage

5G implements massive MIMO and Beamforming techniques. This reduces the strain on device battery usage.

Reduced latency

Latency is how long a data packet takes to travel from one point to another. For gamers, Increased latency will result in lag which looks like a delay between the action of users and the response of the game.

5G promises latency up to 10ms which is 40 ms lesser than 4G.

5G Technology

All the above-mentioned generation of wireless communication works on the radio portion of the electromagnetic spectrum. 

For example, 1G used 850MHz to 1900MHz, 2G and 3G used 850MHz to 2100MHz, and 4G operated in the 600MHz to 2100MHz range.

increase in bandwidth increases network speed

In a digital communication system, binary data is embedded onto an analog radio wave called Channel. When the frequency of the channel increases the data rate also increases.

Hence by opening up the never before used millimeter waves (i.e 6GHz to 52.6GHZ) the bandwidth and data speeds increases tremendously.

5G has two frequency sets. Frequency range 1 (FR1) ranges from 450MHz to 6GHz and Frequency range 2 (FR2) ranges from 24.25GHz to 52.6GHz. 

FR2 also called millimeter wave (mmWave) supports the peak data speeds promised by the 5G network. In theory, the peak data rates are 20Gbps downlink and 10Gbps uplink with latency less than 10ms.

Conclusion:

By tapping into a previously unused area of the radio spectrum, 5G has managed to way devices communicate with each other. This has also caused hysteria among people who were unable to understand the technology. 

Myths about 5G being the reason for coronavirus, interfering migration patterns of birds are starting to surface on the internet.

Unless steps are taken to raise awareness these myths will lead to further damage to property and lives.

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AI Future Technology Science

The Future of artificial eyesight is here: EC-I

You know what is the most complex part of the human body, yes it’s the human eye. Researchers have been working on reproducing the same. Now, they have made artificial eyesight possible called EC-I, which has the ability to see better than the real thing.

Bionic eyes has the potential to restore eyesight to people who have lost it and even to those who never had it.

Currently, the most advanced versions are from companies such as Bionic Vision Australia and Second Sight, which have already been implanted into patients.

These devices are made of a pair of glasses with a camera in the center. That data is processed by a small unit worn out of the body, then sent to the user’s retina for implantation.

From there, signals are transmitted to the visual centers of the brain.

And they work. Users have reported being able to see the world for the first time in years. Unfortunately, this artificial eyesight is not enough for them to rely on to navigate the world.

Some studies have shown that this type of bionic eye can produce strange images and are too slow to capture sharp movements. 

But this new device can be improved. A team led by scientists from the Hong Kong University of Science and Technology (HKUST) has developed what they call Electrochemical Eye (EC-Eye).

artificial eyesight
A cross-section of the make-up of Electrochemical Eye (EC-Eye)

Instead of using a camera-like two-dimensional image sensor, the EC-I is designed with a concave curve following an actual retina.

This surface is studded with an array of small light sensors designed to mimic photoreceptors on the human retina.

These sensors are connected by a wire made of liquid metal, which then acts like an optic nerve.

The team tested the EC-I and showed that it could capture images much earlier than expected.

It was set up to display large individual letters in front of a computer screen, and it was able to display them clearly enough to be read.

Although this is a huge improvement over existing bionic eye designs, EC-I vision has a long way ahead to achieve the natural human eyesight. But, the team says, this may not be the case forever. 

The technique has the ability to outshine the real thing by using a dense array of sensors and attaching each sensor to a separate nanowire.

The team even goes so far as to say that using other materials in different parts of the EC-I can provide users with a higher sensitivity to infrared – essentially, night vision.

Of course, a lot of work remains to be done in the future, but the EC-I is promising.

The research was published in the journal Nature. The device can be seen testing its eyes in the video below.

Electrochemical eye (EC-eye) -Eye images sensory images

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AI Future Technology How to

Latest text generator through voice and Open AI

Open AI has quietly unveiled the latest incarnation of its title-grabbing text generator: the GPT-3. The research lab initially stated that its predecessor’s ability to spread disinformation made it too dangerous to share. The decision warned journalists of imminent robot apocalypse – generating very useful publicity for the GPT-2. Now, Open AI has unveiled its elder brother. And it is very big. The language model in the GPT-2 has 175 billion parameters – 10 times over 1.6 billion, which was considered heavy upon its release last year. GPT-3  ‘s research paper has also outgrown GPT-2 from 25 to 72 pages. We haven’t got through the whole thing yet, but after flicking through have spotted some striking stuff.

Bigger and better?

GPT-3 can perform an impressive range of natural language processing tasks — without needing to be fine-tuned for each specific job. It’s now capable of translation, question-answering, reading comprehension tasks, writing poetry — and even basic math:

The model can perform three-digit addition and subtraction. Credit: OpenAI

It’s also pretty good at bettering correcting English grammar:

Credit: Open AI

GPT-2 also seems to have improved upon the vaunted writing ability of its predecessor. The research team tested its skills by asking evaluators to distinguish its works from those created by their humans. The one they found most convincing was a thorough report on a historic split of the United Methodist Chuch:

The evaluators were most impressed by this article on a church split. Credit: Open AI

However, my favorite example of its writing was the one that humans found the easiest to recognize as made by a machine:

Joaquin’s shape-shifting claims didn’t convince the critics. Credit: Open AI

That report may not have convinced the reviewers, but it certainly showed some flair and a capacity for the surreal. By comparison, here’s an example of a GPT-2-penned article that Open AI previously published:

GPT-2 did a decent job reporting on the discovery of talking unicorns. Credit: Open AI

GPT-3’s ability to generate multiple paragraphs of synthetic material that people find difficult to distinguish from human-written text … raises concerns in this regard. However, the system is unlikely to take the jobs of two-bit hacks, for now, thank God. Not because it lacks the skill — it’s just too damn expensive.

That’s because the system needs enormous computation power. The CEO of AI communications firm Hyperia, Elliot Turner explained:

“Reading the OpenAI GPT-3 paper.  Impressive performance on many few-shot language tasks. The cost to train this 175 billion parameter language model appears to be staggering: Nearly $12 million dollars in computing based on public cloud GPU/TPU cost models (200x the price of GPT-2)”

That should also reduce its powers to be used for evil, as presumably, the only people who could afford it are, er, nation-states, and multi-national corporations.

For now, we’ll have to wait and see what happens when the model’s released to the public

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AI Future Technology How to Science

Using your Voice as Passwords: May become reality

How efficient is it to use voice recognition as a password? Let’s find out. Smartphones are getting smarter and faster with each passing day and so is their safety.

People love it when they include new features to unlock their brand. Apple shook the world with its FaceID when it debuted.

The USA and China are so advanced in technology that they can recognize your face even when you are wearing a mask.

It seems that Face ID will maintain its awe for at least the next few years. But using voice recognition as a password is also able to achieve the same importance.

A new feature of Google Assistant

Google Assistant

Google is slowly sliding a new feature in its AI assistant. Before we proceed to this discussion, you should know that it is not yet universally available.

But there is a chance that all your payments and purchases may soon be certified with a voice match. You can find this feature on both Android and iOS in a very short time.

Right now Google plans to limit this feature to only one function. It may be able to make Google Play purchases and also take restaurant orders.

Is it a new thing?

No matter what feature it is, it has been among us for a few years now. Google tried to implement a voice match in Google Pixel 2 and its home speakers.

It was back in 2017. But this was not so accurate so Google did not yet want to use voice recognition as a password since it can only match your voice with personal content and nothing more.

Each time it recognizes your voice it can boot up your personal calendar, email, and other similar things. Google is working really hard to achieve its voice recognition accuracy.

The future

Futurists predict that future payments may be fully automated. If you want to certify a payment, all you have to do is say “pay $10”.

You do not need to manually type in card numbers and struggle to get a one-time password. Voice authentication does not require any new hardware, it reduces cost which makes it scalable.

Thumbprint or facial recognition requires hardware improvements. While with your voice, you can achieve this with some software updates as well.

This not only reduces the cost but also reduces the time required for its implementation.

So what’s holding it back?

Any technology that makes its way into our lives has a downside. Using voice recognition as a password is hard to achieve.

The user can set up the feature in a quiet environment that may not work when he tried to access it in noise. Some users try to sound correct when installing.

But recording in a natural voice and place is the only way for you to get the best possible result. The system might detect your voice when you are sick or when you are old and your voice becomes deeper.

The conclusion

We are still a long way from using voice recognition as a password. But this is something that we can actually accomplish. As impossible as it sounds, we are really close to making it a reality.

No technology is perfect when in debuts. But with time and user feedback, voice authentication can completely change our perception of security.