Friday, September 27, 2019

Artificial Intelligence and Mobile Phones are Inseparable.


Artificial Intelligence is enhancing both the hardware and software within mobile phones, with implications for both marketers and consumers. On an average, an individual looks at their phone for more than 2.5 hours and makes about 35,000 decisions, in a single day. The funny thing is we often use one device with the help of the other. Our smartphones help us with almost everything, from the choices we make, to the lifestyle we live. Especially because now, AI is an important part of how you use your smartphone. And the support you receive from your mobile phone is about to increase dramatically in the current era.



Artificial Intelligence is a way of getting computers to ‘learn’ by an example from large data sets. AI helps computers acquire information and rules in the sort of way a human does, without being programmed with particular instructions for every possible situation that occurs. In essence, AI helps computers to generalize about what might happen next, based on patterns they’ve seen in similar circumstances, before. Basically, predictions on Google search.
AI has become the marketing essential, every marketing manager’s purpose is to identify customer needs and deliver a product that fits the requirements. Mobile technology, especially mobile phones, offer previously never available insights into people’s true behaviors and reveals truths that have previously never been available. AI automates the examining of that data for insight. The result is a clearer understanding of customer needs and a vivid target for marketers to deliver against.
Samsung’s Galaxy, Google’s Pixel phones and Apple’s i Phones all now have special hardware, designed to conduct AI based tasks more efficiently. Every indication of how the phone market works has made it look like, AI is synonymous with phones, just as other terms like a data plan.
AI is already a huge part of your phone experience, whether you realize it or not. The average smartphone has around a dozen sensors – everything from accelerometers, to GPS, to a microphone, cameras and so on. For years phones have been gathering data on us through the many sensors on a phone. Now AI and machine learning is leading to use the data they produce.



A multitude of AI tasks are undertaken already.
§  AI in the camera: AI is already in the camera of most high-end smartphones, more than anywhere else. AI algorithms help identify whether you’re snapping a panorama or a person – and adjusting the type of filtering used to give you the best results. It’s likely AI also helps you by finding the right lens for the light conditions. AI is also behind the facial recognition you might use to get into your iPhone which, again, uses images from the on-board cameras.

§  AI in voice assistants: Today’s smartphones have basic Virtual Assistant capabilities which are improving rapidly. Some speech recognition now offer better levels of comprehension even in noisy environments. Virtual assistants are likely to become a much larger part of our interface with our phone, over time and the natural human language you provide is interpreted by AI.

§  AI and image search: Many phones now automatically improve images for example, removing red eye and assisting in sorting images you’ve taken, storing in your gallery in a proper segregated folder – according to names or apps.

§  AI in Augmented Reality experiences: The targeted AI processors often called Neural Processing Engines or something similar that are found in these dedicated smartphone chips are also used by on-device Augmented Reality experiences, for example, Apple’s Animoji.

§  AI in day to day operations: More fundamentally, AI is behind Google’s core search engine, every time you search something as it is constantly adapting to work behind the scenes in applications as battery life management and security.
The contribution AI makes good on-device experiences, and strategic importance of the field to staying current in a market which has reached peak smartphone has seen each mobile manufacturer accelerate their production by releasing new upgraded models every 6 months. This has led to a number of specially designed microprocessors which can conduct the sort of math involved in AI calculations faster and more efficiently while using less power. By splitting tasks across multiple processors, some designed for speed, some designed specifically to conduct AI related tasks, modern smartphones improve performance and battery life.
It’s no exaggeration to say that the smartphone industry is being revolutionized and built around AI. The big opportunity, for now, in AI is to help in guessing what it is we want next. Often, when AI is at its best, we users may well not realize that it’s working, things just seem to run a bit smoother. The user interface is fundamental for the success of phones that each of the major handset manufacturers is investing heavily to ensure they offer the best experience they can and using AI to drive the field forward.




This is only the beginning, mobile software and AI technology amalgamation will sky rocket with the use of an appropriate microprocessor chip doing the AI calculations. This tech will become cheaper over time and they’re likely to find their way, not just to a phone, but every connected device in the world through the connected Internet of Things.

Thursday, September 19, 2019

Understanding the workings of Blockchain


Over the past decade, an alternative digital paradigm has slowly been taking shape at the edges of the internet.
This new paradigm is the blockchain. After incubating through millions of Bitcoin transactions and a host of developer projects, it is now on the tips of tongues of CEOs and CTOs, startup entrepreneurs, and even governance activists. In trying to learn more about blockchain, you've probably encountered a definition, “blockchain is a distributed, decentralized, public ledger."
However, blockchain is easier to understand than that definition sounds.
What is Blockchain?
If this technology is so complex, why is it called blockchain? At its most basic level, blockchain is just a chain of blocks, but not in the traditional sense of those words. When we say the words ‘block’ and ‘chain’ in this context, we are talking about digital information of a block stored in a public database the chain.
Blocks on the blockchain are made up of digital pieces of information.
Blocks store information about transactions like the date, time, and dollar amount of your most recent purchase from Amazon. Blocks store information about who is participating in transactions. A block for your splurge purchase from Amazon would record your name along with Amazon.com, Inc. Instead of using your actual name, your purchase is recorded without any identifying information using a unique digital signature, sort of like a username. Blocks store information that distinguishes them from other blocks. Much like you and I have names to distinguish us from one another, each block stores a unique code called a ‘hash’ that allows us to tell it apart from every other block. Let’s say you made your splurge purchase on Amazon, but while it’s in transit, you decide you just can’t resist and need a second one. Even though the details of your new transaction would look nearly identical to your earlier purchase, we can still tell the blocks apart because of their unique codes.
While the block in the example above is being used to store a single purchase from Amazon, the reality is a little different. A single block on the blockchain can store up to 1 MB of data. Depending on the size of the transactions, that means a single block can house a few thousand transactions under one roof.



How does Blockchain Work?
When a block stores new data it is added to the blockchain. Blockchain, as its name suggests, consists of multiple blocks strung together. For a block to be added to the blockchain, however, four things must happen-
1.      A transaction must occur. Let’s continue with the example of your impulsive Amazon purchase. After hastily clicking through multiple checkout prompt, you go against your better judgment and make a purchase.

2.      That transaction must be verified. After making that purchase, your transaction must be verified. With other public records of information, like the Securities Exchange Commission, Wikipedia, or your local library, there’s someone in charge of vetting new data entries. With blockchain, however, that job is left up to a network of computers. These networks often consist of thousands of computers spread across the globe. When you make your purchase from Amazon, that network of computers rushes to check that your transaction happened in the way you said it did. That is, they confirm the details of the purchase, including the transaction’s time, dollar amount, and participants.

3.      That transaction must be stored in a block. After your transaction has been verified as accurate, it gets the green light. The transaction’s dollar amount, your digital signature, and Amazon’s digital signature are all stored in a block. There, the transaction will likely join hundreds, or thousands, of others like it.

4.      That block must be given a hash. Not unlike an angel earning its wings, once all of a block’s transactions have been verified, it must be given a unique, identifying code called a hash. The block is also given the hash of the most recent block added to the blockchain. Once hashed, the block can be added to the blockchain.
When that new block is added to the blockchain, it becomes publicly available for anyone to view — even you. If you take a look at Bitcoin’s blockchain technology, you will see that you have access to transaction data, along with information about when that is the time, where that is their height, and by whom the block was added to the blockchain.
So this is how blockchain works and helps you keep track of all transactions happening in your company while enhancing the level of security at the same time.