News Review - 15 Mar 2019
artificialIntelligence

Algorithms… neural networks… machine learning… deep learning… cognitive computing… bits… qubits… atoms, ions, photons, electrons… welcome to the strange new world of:

Artificial Intelligence

Suddenly, it’s everywhere!

Artificial intelligence (AI) is used in robotics and self-driving cars. Use of AI in banking has reduced fraud and crime. AI has also been applied to video games. Artificial Intelligence is used in the design of aircraft - computer scientists have even created AI programs capable of writing their own code. The list seems endless.

“Artificial intelligence makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.” ( sas.com)

What Is Artificial Intelligence?

The machines haven’t taken over. Not yet at least. However, they are seeping their way into our lives, affecting how we live, work and entertain ourselves. From voice-powered personal assistants like Siri and Alexa, to more underlying and fundamental technologies such as behavioral algorithms, suggestive searches and autonomously-powered self-driving vehicles boasting powerful predictive capabilities, there are several examples and applications of artificial intelligence in use today.

However, the technology is still in its infancy.

What many companies are calling AI today, isn’t necessarily so. As a software engineer, I can claim that any piece of software has AI due to an algorithm that responds based on pre-defined multi-faceted input or user behavior. That isn’t necessarily AI.

A true artificially-intelligent system is one that can learn on its own.

We’re talking about neural networks from the likes of Google’s DeepMind, which can make connections and reach meanings without relying on pre-defined behavioral algorithms. True AI can improve on past iterations, getting smarter and more aware, allowing it to enhance its capabilities and its knowledge.

Today, we’re talking about the pseudo-AI technologies that are driving much of our voice and non-voice based interactions with the machines - the machine-learning phase of the Digital Age.” ( forbes.com)

Understanding AI Jargon

To try to begin to understand modern technology, we must first understand the “jargon” - the buzzwords used by those involved.

“Many of AI’s revolutionary technologies are common buzzwords, like ‘natural language processing,’ ‘deep learning,’ and ‘predictive analytics.’ Cutting-edge technologies that enable computer systems to understand the meaning of human language, learn from experience, and make predictions, respectively.

Understanding AI jargon is the key to facilitating discussion about the real-world applications of this technology.

Jargon check: What is an Algorithm?

An algorithm is a step by step method of solving a problem. It is commonly used for data processing, calculation and other related computer and mathematical operations.( techopedia.com)

The technologies are disruptive, revolutionizing the way humans interact with data and make decisions, and should be understood in basic terms by all of us.

Machine learning, or ML

Machine learning, or ML, is an application of AI that provides computer systems with the ability to automatically learn and improve from experience without being explicitly programmed. ML focuses on the development of algorithms that can analyze data and make predictions.

Deep learning

Deep learning is a subset of machine learning that employs artificial neural networks that learn by processing data. Artificial neural networks mimic the biological neural networks in the human brain.

Neural networks

Neural networks enable deep learning. As mentioned, neural networks are computer systems modeled after neural connections in the human brain. The artificial equivalent of a human neuron is a perceptron. Just like bundles of neurons create neural networks in the brain, stacks of perceptrons create artificial neural networks in computer systems.

Cognitive computing

Cognitive computing is another essential component of AI. Its purpose is to imitate and improve interaction between humans and machines. Cognitive computing seeks to recreate the human thought process in a computer model, in this case, by understanding human language and the meaning of images.

Natural Language Processing or NLP

Natural Language Processing or NLP, allows computers to interpret, recognize, and produce human language and speech. The ultimate goal of NLP is to enable seamless interaction with the machines we use every day by teaching systems to understand human language in context and produce logical responses.

Computer vision

Computer vision is a technique that implements deep learning and pattern identification to interpret the content of an image; including the graphs, tables, and pictures within PDF documents, as well as other text and video. Computer vision is an integral field of AI, enabling computers to identify, process and interpret visual data.” ( innoplexus.com)

Artificial Intelligence: How It Really Works

“It all started out as science fiction: machines that can talk, machines that can think, machines that can feel. Although that last bit may be impossible without sparking an entire world of debate regarding the existence of consciousness, scientists have certainly been making strides with the first two.

Over the years, we have been hearing a lot about artificial intelligence, machine learning, and deep learning. But how do we differentiate between these three rather abstruse terms, and how are they related to one another?

Artificial intelligence (AI) is the general field that covers everything that has anything to do with imbuing machines with ‘intelligence,’ with the goal of emulating a human being’s unique reasoning faculties.

Machine learning is a category within the larger field of artificial intelligence that is concerned with conferring upon machines the ability to ‘learn.’ This is achieved by using algorithms that discover patterns and generate insights from the data they are exposed to, for application to future decision-making and predictions, a process that sidesteps the need to be programmed specifically for every single possible action.

Deep learning, on the other hand, is a subset of machine learning: it’s the most advanced AI field, one that brings AI the closest to the goal of enabling machines to learn and think as much like humans as possible.( futurism.com)

How Artificial Intelligence Is Used

“From voice-powered personal assistants like Siri and Alexa, to more underlying and fundamental technologies such as behavioral algorithms, suggestive searches and autonomously-powered self-driving vehicles boasting powerful predictive capabilities, there are several examples and applications of artificial intellgience in use today.

Today’s so-called AI systems are merely advanced machine learning software with extensive behavioral algorithms that adapt themselves to our likes and dislikes. While extremely useful, these machines aren’t getting smarter in the existential sense, but they are improving their skills and usefulness based on a large dataset. These are some of the most popular examples of artificial intelligence that’s being used today.” ( forbes.com)

In-Store Cameras Spot Shoplifters Before They Steal

Here is an example of behavioural algorithms in use – to spot potential shoplifters!

“It’s watching, and knows a crime is about to take place before it happens. Vaak, a Japanese startup, has developed artificial intelligence software that hunts for potential shoplifters, using footage from security cameras for fidgeting, restlessness and other potentially suspicious body language.

While AI is usually envisioned as a smart personal assistant or self-driving car, it turns out the technology is pretty good at spotting nefarious behavior. Like a scene out of the movie ‘Minority Report,’ algorithms analyze security-camera footage and alert staff about potential thieves via a smartphone app. The goal is prevention; if the target is approached and asked if they need help, there’s a good chance the theft never happens. Shoplifting cost the global retail industry about $34 billion in lost sales in 2017…” ( technocracy.news)

Danger Ahead?

All new technology has a downside. As the following article points out, the question is - “ WHO is setting the standards?

“AI does not truly think. AI does not enact the power of choice in its decisions. AI does as it is programmed to do.

The actual effectiveness of AI as a means to help humanity is questionable. AI is primarily about ‘learning algorithms’, or machines that are programmed to learn from experience. The problem is that a learning algorithm is only as effective as the human beings that program it in the first place . That is to say, learning is not always a cause and effect process. Sometimes, learning is a spontaneous epiphany. Learning is creative. And, in some cases, learning is inborn.

And this is where we get into the crux of how the image of AI is being inflated into a kind of electronic god; a false prophet.

AI is being inserted not only into chess, but into everything. Mass surveillance is impossible to manage by humans alone; the amount of sheer data is overwhelming. So, one core purpose of AI for the globalists becomes clear – AI is meant to streamline mass surveillance and automate it. AI is meant to scour social media or electronic mail for ‘key words’ to identify potential miscreants and opposition. It is also meant to monitor public sentiment towards specific issues or governments. The goal is to gauge and eventually ‘predict’ public behavior.

This all boils down to the idea that AI will one day be able to identify criminals before they ever commit an actual crime. In other words, AI is meant to become an ‘all seeing eye’ that not only monitors our behavior, but also reads our minds as a force for pre-crime identification.

The question is not whether AI can actually tell us who is a future criminal. AI is obviously incapable of accurately predicting a person’s behavior to such a degree. The question is, WHO is setting the standards that AI is looking for when identifying potential ‘criminals’?

Who gets to set the rules of the chess game? If an algorithm is programmed by a globalist, then AI will label anti-globalists as future or current criminals. AI does not truly think. AI does not enact the power of choice in its decisions. AI does as it is programmed to do.( alt-market.com)

AI Will Get Into Wrong Hands

“Just like a coin which has two sides, AI also has a positive side and a negative side to it. IT security professionals can use AI to detect malicious activities quickly. You can reduce false positives by 90% with the help of AI driven response and machine learning algorithms.

AI will land into wrong hands and cyber criminals with malicious designs will abuse it to fulfill their motives. With automation, armies of cyber attackers can launch lethal attacks with greater success. This will force enterprises to fight fire with fire and invest in AI powered security solutions capable of protecting them from such AI driven attacks.” ( zerohedge.com)

Computers: Origins

“IBM’s Thomas J Watson famously said ‘I think there is a world market for maybe five computers,’ in 1943. That’s probably because, at the time, a computer filled up an entire room.

Here we are now, decades removed from the naysayers who thought classical computers would never catch on, and we’ve got more raw processing power in our phones than all of the supercomputers that ran the Apollo space program combined.

Quantum computing has, so far, followed a somewhat similar trajectory.

Currently IBM, Google, Microsoft, Rigetti, and a handful of other companies have quantum computing systems that are very much like the old room-sized supercomputers of last century. They’re huge, they require obnoxious amounts of power, and they’re only feasible in a laboratory environment.

And there is no shortage of researchers, tech journalists, and experts who’ll tell you that quantum computers will never be feasible electronics for consumers. If you listen to these people, you might think there’s only a worldwide market for about five of these giant systems.” ( thenextweb.com)

Computers: The Next Level

We are told that the next level of computing is quantum computers.

“We live in a world where technology is changing rapidly. We are facing new technologies daily. These technologies are changing our lives and helping us to live better. One technology that is constantly changing is the computer. For years, we have used these miraculous devices in cars, banks, at work, home, and in school.

This type of computer has been known to us as the ‘classical computer’. The first classical computer was developed in 1936. Now with the onset of the 21st century, we are looking at a new type of computer. This computer is called a ‘quantum computer’.

So why the quantum computer?

When we refer to ‘quantum’, we are talking about atoms and molecules. The properties of atoms and molecules allow us to be more precise in measurement and processes. So to have a computer made of atoms and molecules, we can do tasks that are faster, more accurate, and more refined.( scientificamerican.com)

Working With The Building Blocks Of The Universe

This is where technology becomes the sci-fi reality of today.

“A quantum computer harnesses some of the almost-mystical phenomena of quantum mechanics to deliver huge leaps forward in processing power. Quantum machines promise to outstrip even the most capable of today’s — and tomorrow’s — supercomputers.

They won’t wipe out conventional computers, though. Using a classical machine will still be the easiest and most economical solution for tackling most problems. But quantum computers promise to power exciting advances in various fields, from materials science to pharmaceuticals research. Companies are already experimenting with them to develop things like lighter and more powerful batteries for electric cars, and to help create novel drugs.

The secret to a quantum computer’s power lies in its ability to generate and manipulate quantum bits, or qubits.

What is a qubit?

Today’s computers use bits — a stream of electrical or optical pulses representing 1s or 0s. Everything from your tweets and e-mails to your iTunes songs and YouTube videos are essentially long strings of these binary digits.

Quantum computers, on the other hand, use qubits, which are typically subatomic particles such as electrons or photons.

Generating and managing qubits is a scientific and engineering challenge. Some companies, such as IBM, Google, and Rigetti Computing, use superconducting circuits cooled to temperatures colder than deep space. Others, like IonQ, trap individual atoms in electromagnetic fields on a silicon chip in ultra-high-vacuum chambers. In both cases, the goal is to isolate the qubits in a controlled quantum state.” ( technologyreview.com)

The Mystical Qubit?

This is where this new technology gets VERY complicated.

A “bit” is either 1 OR 0.

A qubit can be 1, or 0, or both at the same time.

Confused?

As the renowned physicist Richard Feynman is reputed to have said:

If you think you understand quantum mechanics, you don’t understand quantum mechanics.

Man is now playing with the building blocks of the universe - atoms, ions, photons or electrons - it’s just like electricity, we can use it but we don’t really understand what it is!

“Today’s computers… work by manipulating bits that exist in one of two states: a 0 or a 1. Quantum computers aren’t limited to two states; they encode information as quantum bits, or qubits, which can exist in superposition. Qubits represent atoms, ions, photons or electrons and their respective control devices that are working together to act as computer memory and a processor. Because a quantum computer can contain these multiple states simultaneously, it has the potential to be millions of times more powerful than today’s most powerful supercomputers.” ( howstuffworks.com)

What’s Next For AI And Quantum Computers?

“It is truly hard to say what we should expect from two areas of research that are advancing at lightning speed. At present, it seems like the first area of research to be most impacted by the melding of these two subsets of computer science will be big data.

Artificial intelligence and quantum computers, once fused, will most likely improve each other — artificial intelligence tasked with improving quantum computing processes and vice versa. This means analysis of giant data sets will become more manageable, and perhaps, more efficient as time goes on and as these technologies progress.” ( insidebigdata.com)

Quantum Computers And Artificial Intelligence To Solve ALL This World’s Problems?

“Quantum computers will not only solve all of life’s most complex problems and mysteries regarding the environment, ageing, disease, war, poverty, famine, the origins of the universe and deep-space exploration, just to name a few, it’ll soon power all of our A.I. systems, acting as the brains of these super-human machines.” ( forbes.com)

This World’s Problems WILL Be Solved!

Back in 1981, Mr Armstrong explained:

Our problems and troubles ARE SPIRITUAL IN NATURE, but our minds, incentives and concepts are physical and material. Sure we can send men to the moon and back – we can explore Saturn and Jupiter at fairly close range, and receive photographs of the Martian surface from unmanned spacecraft – we can produce computers and the most intricate mechanical aids. BUT WE CAN’T SOLVE OUR PROBLEMS or eliminate our evils!” ( The Worldwide News – June 15, 1981)

This Civilization CAN’T Be Saved!

This Civilization WILL not be saved. Today’s world is totally motivated by Satan. He is the god of this world (II Corinthians 4:4). He has deceived the whole world (Revelation 12:9).

As Jesus Christ ascended back up to heaven, an angel gave the Apostles, and us today, this promise:

“‘Men of Galilee,’ they said, ‘why are you standing here staring into heaven? Jesus has been taken from you into heaven, but someday HE WILL RETURN FROM HEAVEN in the same way you saw him go!’” (Acts 1:11, New Living Translation)

That Return Is Not Far Off!

This Satan-led society is about to be replaced by Jesus Christ when He returns to take over the rulership of the whole world. Here is an eye “witness account”, which the Apostle John saw in a vision:

“The Rider on the White Horse… was named Faithful and True, for he judges fairly and wages a righteous war… his title was the Word of God… From his mouth came a sharp sword to strike down the nations. He will rule them with an iron rod… On his robe at his thigh was written this title: King of all kings and Lord of all lordsTheir entire army was killed by the sharp sword that came from the mouth of the one riding the white horse…

Then I saw an angel coming down from heaven with the key to the bottomless pit and a heavy chain in his hand. He seized the dragon — that old serpent, who is the devil, Satan — and bound him in chains for a thousand years. The angel threw him into the bottomless pit, which he then shut and locked so Satan could not deceive the nations anymore until the thousand years were finished.” (Excerpts from Revelation 19:11-21 and 20:1-3, New Living Translation)


“Man wants desperately to save the society he has established upon this earth. BUT THIS SOCIETY – THIS CIVILIZATION CAN’T BE SAVED! Man, himself, is bringing this world to destruction.

God Almighty will soon step in, and create a new, peaceful, and happy society – the world tomorrow.( Tomorrow… What It Will Be Like)