How Artificial Intelligence is Regulating Live Video Streams

It’s possible that you may have already come across Artificial Intelligence (AI) at some point in your life without even realizing it. For example, Facebook, Twitter, and Google all use AI to ensure that users have a seamless experience on their platforms, whether by automatically tagging friends in photos or providing results based on previous searches.

These uses of AI are relatively simple and only involve one part of the technology – Machine Learning (ML). Fundamentally, ML is becoming more prevalent, but what about its big brother and sister, Deep Learning (DL), and narrow Artificial Intelligence? How can these potentially create streaming services that we will never want to live without?

Artificial Intelligence vs. Machine Learning vs. Deep Learning

Artificial intelligence (AI) is a field that has become increasingly popular in recent years. The field itself is vast and covers a variety of topics. The general idea for AI is that computers perform tasks that typically require human intelligence. Such as visual perception and language processing.

Machine learning is one of the most common uses of Artificial Intelligence solutions today. It involves training an algorithm with large sets of data and applied to new data. For example, machine learning algorithms are used for tasks like facial recognition, spam filtering, and language translation.

Machine learning is a subset of artificial intelligence that makes computers learn from data even if not explicitly programmed. It is a branch of artificial intelligence. Focused on developing computer programs that learn when exposed to new data. Machine learning is used to develop programs capable of making their own decisions without human intervention.

Machine learning underpins many services and products, including search engines and social media platforms. Many financial institutions use machine learning to monitor customer account activities for fraud or other irregularities.

Artificial Intelligence Solutions Making Video Streaming Personalized for Users

AI has been used for many years, but more recently, it has come into the spotlight thanks to a number of developments from both large technology companies and smaller startups. One application that has garnered much attention is personalization.

For the uninitiated, artificial intelligence (AI) refers to computer programs designed to perform tasks associated with human intelligence. The term covers a wide range of applications, including voice recognition and content filtering. AI is also sometimes used as a synonym for machine learning (ML) or deep learning (DL). Tasks that can be accomplished with Artificial Intelligence include image recognition and language processing — identifying objects in photos and translating text from one language to another, respectively.

The Artificial Intelligence hype cycle has been building steam for decades. But today’s technology is finally catching up with the hype, thanks in large part to advances in machine learning algorithms — the driving force behind technologies like speech recognition, natural language processing, self-driving cars, and other applications of AI.

Why Live Streaming Needs Artificial Intelligence (AI)

The number of people watching live streaming is growing rapidly worldwide, and AI will play a vital role in the future development of live streaming. Let’s take a look at this.

Live streaming has become a powerful tool for communication and entertainment. It seems to be “the new way to communicate” after email, messaging, SMS, and WeChat.

It seems that every one of us loves watching live streaming of sports events, concerts, award ceremonies, and so on. This kind of live streaming attracts us because it provides us with more real-time information than other media do. Besides, the performers or players always give us an impressive show or performance via live streaming.

AI Does More Than Just Live Streaming

On the other hand, AI technology is also developing rapidly nowadays. Especially AI algorithms have significant applications in many fields such as marketing, finance, education, medicine, etc. Moreover, artificial intelligence has become indispensable for unmanned vehicles such as cars, guided missiles, and drones to make decisions independently without human control.

The process involves using real-time video as opposed to pre-recorded videos or images. What makes live streaming different from other video-sharing services is that the recording is being done in a single take. You don’t need to edit it at all; what you record is what you get.

Can I use artificial intelligence (AI) to make my live streaming more effective?

The answer is yes. Here are some of the ways:

#1 Artificial intelligence can provide live analytics for better performance – AI can help provide data on how people respond to your live stream. This can help you improve your content and overall live stream performance.

#2  With AI, content discovery becomes easier – If you are using social media sites like Twitter and Facebook for promotion, artificial intelligence can help you find the best time to post your content so that more users will be able to see it

#3 Content Indexing to Improve User Experience- ByteDance, the parent company of TikTok, has found a way to integrate AI with human curation to enhance video content cataloging, thus providing an even better experience for its users. TikTok, which lets users create short videos that can be shared with friends or posted on other social media platforms, is popular among young people. To keep up with the demand for new videos, ByteDance has developed a system that leverages AI to learn from user preferences and provide them with relevant content suggestions. However, this technology alone cannot cater to the growing community of TikTok users.

How Artificial Intelligence Solutions Gives a Better Security to the Users’ Privacy Policy

Artificial intelligence is used everywhere, in the most advanced technology, such as robotics, automation, and others. All of these incorporate a system of artificial intelligence to improve the security of their users. In addition, this system is responsible for various functions that are important to our daily life. 

AI and Security on Our Devices

Artificial intelligence is an immense source of security for our devices such as phones or televisions. It provides a better response to the commands and has better control over these devices. In addition, it is capable of learning and teaching itself from experience. These features have been implemented in some software like Siri, which we have on our phones. Through this application, we can communicate with our device naturally by giving voice commands that Siri understands, and it will perform the desired action for us within a few seconds. 

AI Makes All Things Better Each Time it Operates

There are many more examples of artificial intelligence that have been implemented in all aspects of our daily lives to increase the security and efficiency of these products. Artificial intelligence is genius; it can analyze different situations and make decisions accordingly without any problem. Moreover, it can improve itself by learning from its mistakes, making it even better each time it operates. 

Security has become a significant concern for many people. It is impossible to stay away from hacking and other problems, but it is also challenging to find a solution to these problems. However, there are several ways to make your system more secure. One way is to use artificial intelligence for security. This can be done either by Software or by hardware.

AI for securing Software

In the case of Software, the Artificial Intelligence solutions will act as a guard for your system and prevent any unauthorized access. The Software will work on a learning pattern every time a user tries to access the system. It will learn from its past experiences and modify itself so no one can break into the system. In the case of hardware-based AI — an external device is needed so that whenever someone enters some wrong password or commands. The device will notify you and refuse anyone permission to do so until you allow them to gain access.

There is a new era for security systems. The security and privacy of the users are improved with the help of artificial intelligence. It doesn’t matter whether you are an enterprise or a private user; Artificial-based security systems are the best bet for your security. So what makes them different from traditional systems?

Traditional Security Systems:

They rely on signatures, pattern matching, blacklists, and other known malware techniques. Unfortunately, these techniques are not very effective in detecting unknown malware attacks.

Artificial Intelligence-Based Security Systems:

The security system based on artificial intelligence relies on complex machine learning models which can detect unknown attacks. They don’t depend upon blacklisting as they are based on patterns.

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Image Credit: Provided by the Author; Thank you!

Suvigya Saxena is the Founder & CEO of Exato Software, a global ranking mobile and web app development company. With 15+ years of experience of IT Tech which are now global leaders with creative solutions, he is differentiated by out-of-the-box IT solutions throughout the domain.

This content was originally published here.

It’s been a tough year for payments platform fintech Block (NYSE: SQ) stock as it trades down (-58%) on the year. The old adage, “it’s better to have had and lost, than to never had it at all” is what optimistic investors must remind themselves every day. The pandemic was a boon for e-commerce and payments companies like Block, PayPal (NASDAQ: PYPL), Shopify (NASDAQ: SHOP), Ali Baba (NASDAQ: BABA), Amazon (NASDAQ: AMZN), and Apple (NASDAQ: AAPL) as consumers migrated to the digital economy which includes payments and investing. Bitcoin’s dramatic run up over $64,000 surged profits for Block accounting for nearly 70% of its total revenues in 2021. Unfortunately, the tragic collapse back down to $20,000 has left a lot of bagholders in its wake taking the focus away from its other segments. Sentiment has taken a complete nosedive as consumer’s rein in spending due to rising inflation and bitcoin prices can’t seem to rebound too much beyond the $20,000 level. As the hangover clears and the extreme 2021 year-over-year (YoY) comps get behind them, investors can reassess the strengths of Block’s ecosystems and their cumulative multiplier effect.

Network Effect of Ecosystems

At its core, Block successfully demonstrates how the network effect along with a one-stop shop strategy that enables overlapping services connecting merchants with consumers can have a multiplier effect on revenues. As the bitcoin mania has subsided, investors can focus back on the core drivers of its business. The two main ecosystems are the Square payments processing platform and merchant network and the $Cash app. Bitcoin trades are made through the $Cash App. The key point here is that while bitcoin prices have tanked, transaction volumes from its two ecosystems have continued to grow double-digits.

Legacy Square Ecosystem

Square is the legacy business that enables medium, and small businesses down to a single person accept and process credit card and digital payments. The business continues to expand at a slower rate as competition is plenty. The Square for Restaurants product suite that enables first and third party integrations for sellers. It’s product suite restaurants empowers any sized restaurant to control various aspects of its business from point-of-sale (POS) to delivery orders and team management. Its platform makes it easier for new Square businesses to import menus or create automated menus from PDF, photos, or websites. In-person integration has been added for Square sellers in the U.S. and Australia.

$Cash App Ecosystem

The $Cash App is the primary growth driver as it continues to add features for consumers to make digital payments, stock and bitcoin investments, and find deals on products and services. The $Cash App is becoming the central hub for its consumers beyond payments. It’s a discovery tool to find products, brands, offers, and businesses. Like Acorns, the Cash App also added a Round Ups feature that lets users invest the spare change rounded up to the nearest dollar on Cash App Card purchases into stock or Bitcoin. As a one-stop hub for transactions, $Cash App’s only true competitor is PayPal and its Venmo app.

Reversion Back to the Normal

Block’s recent quarter may be bringing the business back down to a normal baseline after digesting the pandemic gains as yearly comps become more reasonable. On Aug. 4, 2022, Block reported its Q2 2022 earnings for the quarter ended June 2022. The Company reported earnings-per-share (EPS) profits of $0.18 beating consensus analyst estimates for $0.20, by $0.02. Revenues fell (-5.8%) year-over-year (YoY) to $4.41 billion beating the $4.33 billion consensus analyst estimates. Rising operating expenses caused adjusted EBITDA to drop to $187 million compared to $360 million in the same period a year ago. Much of the operating expenses are related to the Afterpay platform. Square generated $681 million in gross profits, up 16% YoY, excluding $75 million gross profit from Afterpay . Afterpay added $150 million in gross profits split between Square and $Cash App. The $Cash App Business GPV rose 4% YoY to $4.2 billion. Cash App delivered gross profit of $705 million, up 29% YoY or 15% excluding Afterpay. The $Cash App generated $116 million in transaction-based revenues, up 5% thanks to increasing business accounts and transactions.

Here’s What the Charts Say

Using the rifle charts on a weekly and daily time frame provides a precision view of the landscape for SQ stock. The weekly rifle chart uptrend peaked near the $92.29 Fibonacci (fib) level. The weekly 5-period moving average (MA) support is starting to slope down at $71.53 along with the 15-period MA at $73.83. The weekly stochastic is still rising but slowing down at the 50-band. The weekly market structure low (MSL) buy triggers on the $71.01 breakout. The weekly upper Bollinger Bands (BBs) are compressing at $110.70 with weekly lower BBs at $46.64. The daily rifle chart has been downtrending with a falling 5-period MA resistance at $68.67 followed by the 15-period MA resistance at $75.30 wit the 50-period MA at $73.24. The daily lower BBs sit at $58.06. The daily stochastic completed a full oscillation down to attempt a bounce off the oversold 10-band. Attractive pullback levels sit at the $66.27 fib, $62.88, $59.79 fib, $56.01, $53.31 fib, and the $48.48 fib level.

Connecting the Ecosystems

Block CEO Jack Dorsey commented, “We continue to make progress, connecting our ecosystems. The connections we are building like with Afterpay are what set us apart and make us so valuable to our customers. In Cash App, we’re just starting to bring Afterpay’s discovery capabilities into our ecosystem. The greatest combined opportunity we see is in commerce. Afterpay will introduce discovery and shopping to build on the elements that Cash App has already created around commerce, like Cash App Pay and Boost. We believe our new design with Cash App will let us scale new products and drive deeper engagement. We’re rolling out a new Discover tab to the main navigation, making it easier for customers to find and use brands and products that can save on with Boost and Pay in with installments with Afterpay.”

Afterpay Omnichannel Energizer

Afterpay is buy-now-pay-later (BNPL) service that Block is integrating into its Square and $Cash app ecosystems. It brings the transaction sequence full circle. It provides the option for customers to purchase items up front and make installment payments seamlessly from the app or online. It’s been proven to bolster sales for merchant and spending from consumers. It’s an omnichannel tool that will let sellers in the network help grow sales both online and in-person. Afterpay omnichannel customers spent 3X more than single channel consumers in 2021. This is the growth driver as it adds another layer of fees to merchants and customers with each sale. $Cash App users can use Afterpay to seamlessly purchase items on a convenient payment plan that can automatically withdraw funds from the connect banking source. Afterpay is an energizer that will bolster both the Square and $Cash App ecosystems. A rise in bitcoin prices is just icing on top of the multi-layered cake. In a nutshell, both the Square and $Cash App businesses grew 29% YoY while bitcoin tanked (-60%). The stock is down (-58%) for the year. Back out the bitcoin price drop, and you still have a solid growth company with its core businesses growing at a 29% YoY clip.

This content was originally published here.

Why do globalists have a deep rooted obsession with Artificial Intelligence (AI)? What is it about the fervent quest for an autonomous digitized brain that sends them into fits of ecstasy? Is it all about what AI can do for them and their agenda, or, is there also a darker “occult” element to the concept that is so appealing?

The World Economic Forum, an organization dedicated to the globalist “Great Reset” agenda, the Fourth Industrial Revolution and the “Shared Economy,” dedicates a large portion of every annual meeting in Davos, Switzerland to discussion on AI and the expansion of its influence over daily life.

The United Nations holds extensive policy sessions on AI and has been spending a considerable amount of energy to establish “ethics rules” for the development and use of Artificial Intelligence. At the core of the UN’s efforts is the assertion that only the UN is qualified to dictate and control AI technologies; for the good of all mankind, of course. AI governance is slated to go into full effect by 2030 according to the UN’s own white papers (All globalist institutions have set 2030 as the target date for all of their projects).

Another lesser known but substantial organization is the World Government Summit held every year in Dubai. These summits are attended by many national leaders and representatives as well as corporate CEOs and celebrities. The primary subjects of focus at the WGS are usually climate change propaganda, centralization of the global economy, Transhumanism and AI.

Most of the public discussions on AI revolve around positive narratives; we are meant to be convinced on the many great advancements that AI technology will provide. Some of the “advantages” include transhumanist health modifications, computer implants in the body or brain, and even nanobots which may one day be advanced enough to change our very cells. In other words, in order to benefit from AI we must become less human and more machine.

Other supposed benefits require a vast array of new systems (some of them are being built now) that would allow algorithms to monitor every facet of our lives. Globalists often refer to these systems as the “internet of things” – Every appliance you own, the car you drive, every computer, every cell phone, every surveillance camera, every stop light, everything would be centralized into a single AI network within a city, and each city would be connected in a great spider’s web to a national AI database.

The Internet of Things is regularly mentioned in conjunction with climate change governance and carbon restrictions. The purpose is crystal clear – Governments and corporate elites want the ability to monitor every watt of energy you use everyday. This kind of full spectrum information makes it easier to dictate our decisions and our access to goods and services. They would have total control of anyone living within these “Smart Cities.” Your entire life, every second, would be watched and scrutinized.

But how could this be made possible? Millions upon millions of people living day-to-day; that’s a LOT of data to sift through to find anyone not following the rules. This is one of the reasons why the globalists are salivating over AI technologies – It’s the only tool available to collect and delineate mass data collection in real time.

Already, there are efforts to use AI systems to predict crime before it happens (pre-crime). These experiments are rather overhyped as they don’t actually predict specific crimes or identify specific criminals. Rather, they use statistical analysis to predict which areas of a city certain crimes are most likely to occur. You don’t need AI for this, any cop that’s worked in a city long enough can tell you when and where certain crimes are most likely to happen.

Hilariously, AI algorithms have recently been accused of “racial bias” when it comes to the areas they select for predictive crime, because often these areas tend to be in predominantly black neighborhoods and the most predicted criminals tend to be young black men. So, the computers have been accused of racial profiling just as many cops are accused of racial profiling.

Just another classic contradiction of the political left: They love the idea of climate change restrictions, transhumanism, and even AI surveillance when it suits them, but a computer does not care about your feelings and it doesn’t care about social taboos. It only cares about the numbers.

And this is where we get into the greater dangers inherent in AI. Imagine a world micro-managed by a cold dead algorithm that views you as only one of two things: A resource or a threat.

Prediction of pre-crime is nonsense; algorithms monitor habits and patterns and human beings tend to break patterns abruptly. People are affected by crisis events in different ways that are impossible to portend. There are far too many variables and there will never be a system that is able to predict the future, but that’s not going to stop the globalists from trying to force the issue.

AI governance is an inevitability according to globalist institutions – They claim that one day Artificial Intelligence will be used to govern whole societies and dole out punishment based on scientifically efficient models. They act as if this is just the natural path of mankind and one we cannot avoid, but in reality it is a self-fulfilling prophesy. It’s not necessarily meant to happen, it is being engineered to happen.

AI proponents argue that the algorithms cannot act with the same bias that humans do, therefore, they would be the best possible judges of human behavior. Every decision from production to distribution to healthcare to schooling to law and order would be managed by AI as a means to achieve ultimate “equity.”

As noted above, they’ve already run into the road block of statistical probability and the fact that even if AI is left to autonomously make decisions devoid of emotion, millions of people will still see those decisions as biased. And, in some ways they would be right.

The most logical decision is not always the most moral decision. Furthermore, an AI is programmed by its creator and can be engineered to make decisions with the creator’s biases in mind. Who gets to program the AI? Who gets to dictate its coding? Global elitists?

And here is where we get to the more “spiritual” element of the AI issue in relation to the globalists.

A couple years back I wrote an article titled ‘Luciferianism: A Secular Look At A Destructive Globalist Belief System.’ My goal in that piece was to outlined the large amount of evidence that globalists are in fact a kind of cult of organized psychopaths (people without empathy that take joy in destruction for the sake of personal gain). I concluded that globalists do indeed have a religion, and their root belief system according to the evidence is Luciferianism.

Yes, I’m sure there will be naysayers out there that will scoff at this notion, but the facts are undeniable. There is a distinct occult element to globalism, and Luciferianism pops up consistently as the root philosophy. I think I broke this down rather effectively in the article and I won’t rehash all the evidence here; people are welcome to read it if they wish.

I wrote from a secular standpoint because Luciferianism is an inherently destructive ideology even when viewed outside of the lens of Christian belief. Beyond that, there are psychological elements that need to be addressed that Christianity often ignores. Luciferian philosophy is tailor made for narcissistic and sociopathic people. The root of the cult is about “special” human beings that are not hindered by the boundaries of conscience, morals or ethics. Lack of empathy is seen as an advantage to progress and the ultimate goal of Luciferianism is godhood – A person becoming like a god, whether through being worshiped by others, the power of influence or by technological methods of extending life and abilities.

But what does this have to do with AI?

I believe that globalists view AI with such reverence because they think it is a new form of life, or an ultimate form of life – A life that they are creating (as gods create life). And, if you think about it symbolically, this new “life” is actually made in the image of its creators: It has no empathy, no remorse, no guilt, no love. For lack of a better word, it is soulless, much like globalist psychopaths are soulless.

If we are to look at AI in religious terms for a moment – AI is a kind of antithesis to the figure of Christ. Christ represents an all-knowing form of ultimate love and ultimate self sacrifice according to Christian doctrine. I don’t think there is a word for what AI ultimately represents. The only term that seems to fit is “Antichrist”: The all seeing eye. A rulership of a super-intelligence devoid of humanity.

To be clear, I DO NOT believe in end-of-the-world concepts portrayed by those that adhere to more popular interpretations of Revelations. I think the world changes. I think empires rise and fall and this can often be seen as the “end of the world” when it’s really just the end of an epoch. That said, I wholeheartedly believe in the existence of evil; evil being defined as willfully deceitful or destructive actions for purely personal or organizational benefit, such as murder or enslavement. Evil does indeed exist and is an observable element of human life.

There are also traits of humanity that lead to good, that prevent us from self destruction when we listen to them. Conscience, reason, wisdom and often faith can provide a shield against evil actions for the majority of us. If we didn’t have these pillars within our psyches we would have annihilated ourselves long ago. But, there are some who do not have conscience, that do not have empathy and they despise these traits as “limiting.”

AI is being designed by these kinds of people. And maybe they won’t cause the “end of the world” in terms we commonly understand (or in biblical terms), but over time they could take away everything that makes humanity worthy of the world. In a way, this would be an Apocalypse. It would be a living nightmare run by psychopathic people using sociopathic artificial intelligence, actively encouraging and enabling the masses to abandon their human bodies to become digital monstrosities and technological chimera.

If successful, it really would be the ultimate defilement of nature, or of God’s design if that is what you believe in. The pursuit of godhood is not worth it for most of us, but for the globalists it is the dream of an age, and they will do ANYTHING to achieve it.

This content was originally published here.