Technewsky: blockchain

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Wednesday, 25 April 2018

How secure is Blockchain Data Privacy?

03:49:00 0
How secure is Blockchain Data Privacy?

Data security has been a latest topic lately. The declaration that millions of Facebook users’ data were broken by the political consulting firm Cambridge Analytica has sent a jolt through the tech world.

With the huge amount of data people collect to companies like Facebook, it’s necessary to have ways to secure information and keep sensitive data safe. Valuable weapon in the war for protection and security.

It’s a mouthful to say, but its probabilities are easy. Is a form of cryptography that proves possession of crucial information without releasing that information, and without any interaction between prove and verifier?



For example, specifics could use some proofs to evince their bank details hold a certain amount of money. But evinces wouldn’t release the accurate amount of money in the accounts. Only that they did—or did not—meet a certain monetary threshold.

These proofs are providing blockchain companies to develop smarter, automated systems that can attest to definite facts without revealing the data behind those facts.

That’s important because while greater transparency has long been the target of many blockchain advocates, transparency has its limits. Both companies and individuals have reasons to keep sensitive detail private, while still cutting edge the profits of a decentralized blockchain community.

Reputed companies are helping to do just that

Where did they come from?

Blockchain technology may seem latest because it’s being used in emergency systems, but the first zero-knowledge proofs were built in the late 80s. And the first zero-knowledge succinct argument was constructed in a paper by Joe Killian from 1992.

But advance structures of security form did not arise until decades later. In 2012, Alessandro Chiesa, a professor at UC Berkeley and co-inventor of Zero cash, co-authored a paper that coined the term.




How do they work?

Your childhood math experts possibly told you time and time again, “You have to show your work.” You had to prove the steps that led to your conclusion.

But in the real fact, people often don’t want to show their program. Their task may contain essential business intelligence or data they don’t want others to show. Financial information, passwords, identities or inventory information—it all has to be secured. 

It provides a way for a party to evince the exact or existence of one piece of data without actually revealing it.

For example, let’s say a man needs to meet a bar, but he doesn’t want to reveal his age. Obviously, that’s a problem. The bouncer needs to know he is 21 years old to comply with the law. If zero-knowledge proofs were involved, the bouncer could run a program to scan the ID and control whether the man was at least 21 years old. The age itself is not revealed, only the answer to whether or not the man meets the age requirement.

Have extensive uses today.

In the finance world, zero-knowledge proofs are being used to help security the catches of Cryptocurrency movement. Many people don’t aware that Bitcoin and most other cryptocurrencies expose every user’s payment history on blockchain. Which means anyone can look up the information surrounding a payment.

There are a number of conditions where the parties completing a transaction don’t want that information to be publicly available. Would a business require its customers to be able to look up similar how much each client is moved?

Finances and transactions are mostly held to be private information, the publicizing of which could put specifics or companies in compromising situations.

The digital currency Zcash is using zero-knowledge proofs to solve this problem. Its Zero cash secure, privacies the identity of the payer, the recipient, and the amount. Instead of making all that information public, users can select to pay others with anonymous “zerocoins.”

Forms are also require for the future.

Blockchain systems, like those offered by the San Francisco-based technology company, Chronicled, can provide track-and-trace capabilities and full visibility into supply chains in practically every industry. The problem is that even permissioned blockchain allow all node operators to access data stored on nodes within the network.

So, if multiple companies join one blockchain network, each of them can access all the data in the community. That’s a non-starter for most firms, especially those with sensitive business intelligence they need to keep to themselves.

Security form to provide an awesome solution to this problem. Rather than recording all the data from a business transaction or process, form access businesses to store only the proof of the transaction on a node. Companies can keep their sensitive data to themselves, while still maintaining confidence in a connected record of provenance.

As the world becomes further automated, and as companies gather more and more data, privacy and data protection will become paramount. There are dystopian shadow to some of the uses for blockchain and other emerging technologies. You only want to look at China’s new reputation score to see an unsettling notion coming to life.

That’s why both companies and specifics will profit from a system that uses zero-knowledge proofs to protect their identities, private data and competitive business intelligence while tracking necessary business information.



Thursday, 15 February 2018

How AI and Blockchain Is Helping Special Event Valentine's Spark for Online Dating

03:10:00 0
How AI and Blockchain Is Helping Special Event Valentine's Spark for Online Dating

According to an inspection by online dating app "Coffee Meets Bagel," the recognition of Valentine's Day shows to have modified sizable. Singles are loud and proud, loving empowered and less pushed to have a date for the hallmark occasion -- and this isn't the best news for dating apps.

As a result, some operatives are trying to head off dating-app fatigue with tech solutions: from the design of in-person authentic experiences such as productions and cultural experiences, to leveraging blockchain and artificial intelligence for courtship tip. Others may even accept cryptocurrencies for payment to match-making platforms.



Dating through the experience economy

With men again as active on relationship sites, recommend to countless analysis, a slew of dating apps have emerged catering to women already, providing ladies to call the shots. But active not multiple yearn for more than just algorithmic similar. A current opinion according nearly 80% of millennial sense that fulfilling live events can assist deepen their relationships? They create more genuine relation meeting people at parties, concerts, festivals, or races and themed sporting events.

Despite Coffee Meets Bagel's standard-over-quantity method, the app launched by three Korean sisters six years ago on this fateful day, has clear to coherent the experience economy ratio to bring their users real-life state to meet alternative in person. They estimating with a Run Date Festival in Hong Kong -- the city select because it has the most active everyday login rates worldwide, according to CMB cofounder and COO Dawoon Kang.

The 5K run is modified to be an offline experience "to explore our omni-channel master plan," much like e-commerce giants Amazon and Alibaba have currently done taking their online baskets to offline brick-and-mortars, says Kang. "Customer brands require multiple touch points," she adds. "We aim to make more of these authentic connections such as adult summer camps by engaging in shared experiences together." More than 2,000 locals took part in the charity run that pairs participants to complete interactive obstacle courses.

Connecting love on the blockchain


Viola's ability will include building the enterprise in checking both party's time-table, booking a restaurant of their liking, sending notifications and offering ways. Providing more than one billion record points in dating tips with artificial intelligence, the software has targets to help relevant guidance, and aggressive advert couples ahead of special occasions or relationship milestones to offer resolve issues before conflicts arise.
Making connections with Bitcoin

In an again effort to facilitate love and lust, one dating app has updated to mixture the idea of soulmate with satoshism. "Luxy" not private itself as the mobile app for affluent singles. The privacy Hong Kong-based founder, who only moves by his first name Tim T., vouches for the service's "easy verification procedure," which displays for "the wealthiest men" and "the most charm women."

Not a signal must show a yearly income of $200,000 or top to standard point for membership, or be voted in for free by community association depend on attractiveness. Its website declare one out of every two active members earns more than $500,000, while 41% are evaluated millionaires. The entire service can cost as much as $450 for an in-app premium buy that offers users to filter their search according to wealth. That payment can now be transacted using Bitcoin.

How to find love in 2018

With handle to unique matches just a swipe away, dating apps are an influencing normal tool for singles to meet new people. The question is how long can these apps retain the attention of users? Lunch Actual’s Lam says it's a double-edged sword, "If you do a bad job, they leave. If you do a good job and find them a successful match they leave as well."


Wednesday, 20 December 2017

Complete Overview of Artificial Intelligence (AI)

03:49:00 0
Complete Overview of Artificial Intelligence (AI)
The idea of artificialintelligence and the hopes and fears that are associated with its rise are fairly prevalent in our common subconscious. Whether we imagine Judgment Day at the hands of Skynet or egalitarian totalitarianism at the hands of V.I.K.I and her army of robots - the results are the same - the equivocal displacement of humans as the dominant life forms on the planet.

Some might call it the fears of a techno-phobic mind, others a tame prophecy. And if the recent findings at the University of Reading (U.K.) are any indication, we may have already begun fulfilling said prophecy. In early June 2014 a historic achievement was supposedly achieved - the passing of the eternal Turing Test by a computer programme. Being hailed and derided the world over as being either the birth of artificial intelligence or a clever trickster-bot that only proved technical skill respectively, the programme known as Eugene Goostman may soon become a name embedded in history.

The programme or Eugene (to his friends) was originally created in 2001 by Vladimir Veselov from Russia and Eugene Demchenko from Ukraine. Since then it has been developed to simulate the personality and conversational patterns of a 13 year old boy and was competing against four other programmes to come out victorious. The Turing Test was held at the world famous Royal Society in London and is considered the most comprehensively designed tests ever. The requirements for a computer programme to pass the Turing Test are simple yet difficult - the ability to convince a human being that the entity that they are conversing with is another human being at least 30 percent of the time.



The result in London garnered Eugene a 33 percent success rating making it the first programme to pass the Turing Test. The test in itself was more challenging because it engaged 300 conversations, with 30 judges or human subjects, against 5 other computer programmes in simultaneous conversations between humans and machines, over five parallel tests. Across all the instances only Eugene was able to convince 33 percent of the human judges that it was a human boy. Built with algorithms that support "conversational logic" and open-ended topics, Eugene opened up a whole new reality of intelligent machines capable of fooling humans.

With indications in the sector of artificial intelligence, cyber-crime, attitude and idea, it’s crushing to know that Eugene is only version 1.0 and its providers are already running on something more sophisticated and latest.

Love in the Time of Social A.I.s


Reference by - https://www.youtube.com/watch?v=5J5bDQHQR1g

So, should humanity just begin wrapping up its affairs, ready to hand over ourselves to our emerging overlords? No. Not really. Despite the interesting results of the Turing Test, most scientists in the field of artificial intelligence aren't that impressed. The veracity and validity of the Test itself has long been discounted as we've discovered more and more about intelligence, consciousness and the trickery of computer programmes. In fact, the internet is already flooded with many of his unknown kin as a report by Encapsulate Research showed that nearly 62 percent of all web traffic is generated by automated computer programs commonly known as bots. 

Some of these bots act as social hacking tools that engage humans on websites in chats pretending to be real people (mostly women oddly enough) and luring them to malicious websites. The fact that we are already battling a silent war for less pop-up chat alerts is perhaps a nascent indication of the war we may have to face - not deadly but definitely annoying. A very real threat from these pseudo artificial intelligence powered Chabot’s was found to be in a specific bot called "Text- Girlie". This flirtatious and engaging chat bot would use advanced social hacking techniques to trick humans to visit dangerous websites. 



The TextGirlie proactively would scour publicly available social network data and contact people on their visibly shared mobile numbers. The Chabot would send them messages pretending to be a real girl and ask them to chat in a private online room. The fun, colorful and titillating conversation would quickly lead to invitations to visit webcam sites or dating websites by clicking on links - and that when the trouble would begin. This scam affected over 15 million people over a period of months before there was any clear awareness amongst users that it was a Chabot that fooled them all. 

The highly likely delay was simply attributed to embarrassment at having been conned by a machine that slowed down the spread of this threat and just goes to show how easily human beings can be manipulated by seemingly intelligent machines.

Intelligent life on our planet

It’s easy to snigger at the misfortune of those who've fallen victims to programs like Text- Girlie and wonder if there is any intelligent life on Earth, if not other planets but the smugness is short lived. Since most people are already silently and unknowingly dependent on predictive and analytical software for many of their daily needs. These programmers are just an early evolutionary ancestor of the yet to be realized fully functional artificial intelligent systems and have become integral to our way of life. The use of predictive and analytical programmers is prevalent in major industries including food and retail, telecommunications, utility routing, traffic management, financial trading, inventory management, crime detection, weather monitoring and a host of other industries at various levels. Since these kind of developers are kept distinguished from artificial intelligence due to their profitable applications it’s simply not to notice their ephemeral nature. But let’s not kid ourselves - any interpretive program with manage to immense databases for the supposal of calling patterned behavior is the exact archetype on which "real" artificial intelligence programs can be and will be built.

A significant case-in-point occurred amongst the tech-savvy community of Reddit users in early 2014. In the catacombs of Reddit forums dedicated to "dogecoin", a very popular user by the name of "wise_shibe" created some serious conflict in the community. The conference simply faithful to argument the global of dogecoins was lightly disturbed when "wise_shibe" grouped in the communications offering Oriental wisdom in the terms of clever remarks. The amusing and attractive conference offered by "wise_shibe" garnered him many fans, and provided the norms facilitation of dogecoin refund, many users made advance case systems to "wise_shibe" in replace for his/her "wisdom". However, soon after his rising popularity had earned him an impressive cache of digital currency it was discovered that "wise_shibe" had an odd sense of omniscient timing and a habit of repeating himself. Eventually it was revealed that "wise_shibe" was a bot programmed to draw from a database of proverbs and sayings and post messages on chat threads with related topics. Reddit was pissed.

Luke, Join the Dark Side

If machines programmed by humans are capable of learning, growing, imitating and convincing us of their humanity - then who's to argue that they aren't intelligent? The question then arises that what nature will these intelligences take on as they grow within society? Technologist and scientists have already laid much of the ground work in the form of supercomputers that are capable of deep-thinking. Tackling the problem of intelligence piece meal has already led to the creation of grandmaster-beating chess machines in the form of Watson and Deep Blue. However, when these titans of calculations are subjected to kindergarten level intelligence tests they fail miserably in factors of inferencing, intuition, instinct, common sense and applied knowledge.

The ability to learn is still limited to their programming. In contrast to these static computational supercomputers more organically designed technologies such as the delightful insect robotics are more hopeful. These "brains in a body" type of computers are built to interact with their surroundings and learn from experience as any biological organism would. By incorporating the ability to interface with a physical reality these applied artificial intelligence are capable of defining their own sense of understanding to the world. Similar in design to insects or small animals, these machines are conscious of their own physicality and have the programming that allows them to relate to their environment in real-time creating a sense of "experience" and the ability to negotiate with reality.




A far better testament of intelligence than checkmating a grandmaster. The largest pool of experiential data that any artificially created intelligent machine can easily access is in publicly available social media content. In this regard, Twitter has emerged a clear favorite with millions of distinct individuals and billions of lines of communications for a machine to process and infer. The Twitter-test of intelligence is perhaps more contemporarily relevant than the Turing Test where the very language of communication is not intelligently modern - since its greater than 140 characters. The Twitter world is an ecosystems where individuals communicate in blurbs of thoughts and redactions of reason, the modern form of discourse, and it is here that the cutting edge social bots find greatest acceptance as human beings. These so-called socialbots have been let loose on the Twitterverse by researches leading to very intriguing results.

The ease with which these programmed bots are able to construct a believable personal profile - including aspects like picture and gender - has even fooled Twitter's bot detection systems over 70 percent of the times. The idea that we as a society so ingrained with digital communication and trusting of digital messages can be fooled, has lasting repercussions. Just within the Twitter verse, the future of using an army of socialbots to build suggestion topics, biased reviews, fake handler and the vision of unified diversity can show very dangerous. In huge numbers these socialbots can be used to border the public discourse on specific topics that are consider on the digital realm.



This phenomenon is known as "astroturfing" - taking its name from the famous fake grass used in sporting events - where the illusion of "grass-root" interest in a topic created by socialbots is taken to be a genuine reflection of the opinions of the population. Wars have started with much less stimulus. Just imagine socialbot powered SMS messages in India threatening certain communities and you get the idea. But taking things one step further is the 2013 announcement by Facebook that seeks to combine the "deep thinking" and "deep learning" aspects of computers with Facebook's gigantic storehouse of over a billion individual's personal data.

In effect looking beyond the "fooling" the humans approach and diving deep into "mimicking" the humans but in a prophetic kind of way - where a program might potentially even "understand" humans. The schedule being created by Facebook is amusing called DeepFace and is presently being touted for its revolutionary facial recognition technology. But its broader goal is to survey existing user accounts on the community to suggestion the user's future plan.

By incorporating pattern recognition, user profile analysis, location services and other personal variables, DeepFace is intended to identify and assess the emotional, psychological and physical states of the users. By incorporating the ability to bridge the gap between quantified data and its personal implication, DeepFace could very well be considered a machine that is capable of empathy. But for now it'll probably just be used to spam users with more targeted ads.

From Syntax to Sentience

Artificial intelligence in all its current form is primitive at best. Simply a tool that can be controlled, directed and modified to do the bidding of its human controller. This inherent servitude is the exact opposite of the nature of intelligence, which in normal circumstances is curious, exploratory and downright contrarian. Manmade AI of the early 21st century will forever be associated with this paradox and the term "artificial intelligence" will be nothing more than an oxymoron that we used to hide our own ineptitude. The future of artificial intelligence can't be realized as a product of our technological need nor as the result of creation by us as a benevolent species.


We as humans struggle to comprehend the reasons behind our own sentience, more often than not turning to the metaphysical for answers, we can't really expect sentience to be created at the hands of humanity. Computers of the future are surely to be exponentially faster than today, and it is reasonable to assume that the algorithms that determine their behavior will also latest to inculcate highness, but what can't be known is when, and if ever, will artificial intelligence reach sentience.



Just as difficult proteins and intelligent life search its starts in the early pools of raw materials on Earth, artificial intelligence may too one day appear out of the complex interconnected systems of networks that we have created. The spark that justified chaotic proteins into harmonious DNA strands is perhaps the only thing that can possible evolve scattered silicon processors into a vibrant mind. A true artificial intelligence.