Learning The “Secrets” of

A Clear Guide to Follow to Ensure that your Business is not Under Cyber Threats

Today, many people do not take extra measures to curb cyber attacks. The main reason why people are ignorant is that they lack knowledge on how to protect themselves against these cyber attacks. You can use a variety of online sources to get the necessary knowledge about cyber attacks. The fact that most business owners have downloaded a lot of unnecessary applications has only created a clear pathway for these attacks. However, without these applications the business will not be able to grow. The most targeted businesses are the small businesses because these business owners usually leave their emails and business accounts exposed. Here are tips to help you know how to protect your business from cyber attacks.

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It is essential to ensure that your workers are aware of the measures used to improve network security. Many cyber attacks are caused by human error. These errors usually involve downloading malicious files, sharing passwords and phishing. Your business will be safe if you ensure that all your staff members are aware of the threat posed by cyber attacks. Your staff should know how to counteract these attacks. They need to know how to identify phishing scams. All your workers should ensure that they update your software regularly. Always make sure that your businesses passwords are updated often.

Another way to protect your business is to ensure that your system is updated. Formulate a security plan for your network. The main reason for this is to have a plan in case your system has been corrupted. You should hire an IT service management, which will monitor your business network every day. The primary role of the agency is to keep your computer free from any form of malware like viruses and also keep your system updated. The sole reason why the small business are open to cyber attacks is that they do not use new systems. These old systems can be hacked with ease.

Your business wifi should have a password. The best way to corrupt a company system is to use the company’s wifi network. However, putting up security measures on the business wifi is easy. First, come up with a firewall, which will encrypt all data of the company. Come up with a security password for the router, which should only be available to the workers alone.

Create the two-factor authentication. The main reason why hijacks attack the cloud base is that the business owners have not installed the two-factor authentication. An IT agency will install this authentication for you. Another service that you will get from the company is that they will keep checking your cloud base to ensure that it is safe.

Lessons Learned from Years with

The Advantages of Advertising Performance Technology

Through online marketing, people are able to get channels in which they can market their services and products to different audiences. Online marketing uses different channels to bring a business in a great place. People want to buy things from online stores as they can do it wherever they are and get the things they ordered for delivered to where they are. This article focuses on the advertising performance technology where we will learn more about it and how it is of help to many businesses out there.

With the advertising performance technology, there is the element of speed which means you will be able to know whether or not there is good performance or not. This allows you have the chance to change different factors so as to change the weak performance to a better space. You are the one in charge of your own ads when you use the advertising performance technology and this allows you be in control of your budget also. This will save you from wasting money on ads that are not working as effective as expected they would.

It is good to use performing advertising as it does not require your commitment as you can have the advertisements showing at whatever time you feel like it. There is transparency when you use the advertising performance technology as you manage to do everything that brings you great success here! This leads to one always knowing of everything taking place that does relate their business and this is great as they know what audience they have captured, the keywords that seem to b doing great and other things. It is possible to use this technology so as to reach the target audience you are in need of.

The fact that phone users are now so many leads businesses reaching large numbers of audiences as they get to access ads using their phones and this technology is to thank for. The customers are able to end up being potential buyers when they check it out! In the internet there is always this website and that where people give information about their businesses. For any person that owns a business and wants to take a step ahead, it is advisable that you try out the advertising performance technology now! It is possible to read more about the advertising performance technology on the internet as all one needs to do is click for more there.

In conclusion, with the advertising performance technology, one can turn their business around and make it well known online as it works in making sure that the websites and ads are performing well.

Lessons Learned About

You need to ensure that you keep up with technology by looking for the right 3D scanning technology as this is essential for you. You find that 3D scanning has resulted to have a great workflow and this is flexible in the operation in various levels of the industry, you can save time and money in the process. We have some quick tips here that can help you whenever you are buying a 3D scanner as well as benefits that you will gain when you choose the procedure when you are buying your 3D scanning.

One thing is that when you choose the right 3D scanning technology, you will notice that you will have better quality services. A great culture of quality matters so much and this can help you remain well-focused, and this can be one of the main things that can be used to help you stay focused in how you handle your services. The process is normally fast and will have comprehensive quality control procedures being issued in the right manner as this has been identified to help so much. You find that due to the accuracy of the 3D scanning procedure, it can be very easy for you and it can help you know how the procedure will work in the right direction.

Do not be like most of the companies that have come these days, you will need to ensure that you know the procedure that you need to be focusing as this is essential in helping you maintain the right procedure as this has been seen to have a great impact these days. You should ensure that you choose a 3D scanning system for your business that is well versed with your operations and this is the only way you can be able to maintain your business operation as it plays a great role. We have sampled a few things that you need to learn why you should purchase a 3D scanner for your business operation.

Read: Online Gambling Secrets

First, you will realize that when you look for other business services, you will be able to lower the cost of operations when you choose to buy your own 3D scanning system. When you buy 3D scanning system, it is one of the cost efficient procedure than having to outsource the system operations. You will notice that you will be able to save much on the process of training, recruiting and overall IT support systems as it is easy to handle with ease.

The benefits we have here only brush on the main benefits of 3D scanning. Make sure that you take your accuracy to the next level by acquiring a 3D technology system in the best way possible.

Learning The “Secrets” of

Top Tips to Help You Convert Casino Bonuses into Cash

There is no given time in the economic life of a casino that a casino does not win.Therefore, if you if have a chance to make huge bucks of money, then you should make use of the casino.This is because the odds in any casino game are always in favor of the casino. It is exciting to learn that players with an edge over the house can still take home huge bucks of money.The casino offers, like weekly or daily promotions and sign-up bonuses, will help you make huge bucks of money when you have an edge over the casino.

If the above ways of making money do not excite you, then read through the following points to get one way that excites you.Can the casino bonuses be turned into cash?This helps you to determine whether you will need the casino bonuses for your game or not.So many casinos only allow their players to use cash deposits before utilizing the bonus money.Also, worth noting is that you can only cash the bonuses upon request.Another fact you must know is that there is a wagering requirement, that dictates the number of times that a player has to play the bonus before getting his or her funds.

In as much as the odds are always in favor of the casino, you can always make use of the casino bonuses to make profit.Have in mind that you can only win on average.

The expected value is what you will earn on average.
You can make money in a casino by taking advantage of the positive expected value.Thanks to betting sites, you can get this kind of information.Bonus cash and free money are other ways that can guarantee you making money in the house.Free money is usually offered without a deposit offered while bonus cash is offered once you make a deposit with the house.

Another way you can make money in a casino is through the free spins.Casinos make use of the free spins to draw in more players.Through the free spins, the players can get cash and even improve their bankrolls.Free spins usually include deposit bonus, no deposit free spin, and the deposit bonus and free spin.

A deposit bonus is a free spin that have a high wagering requirement and are offered as part of the deposit bonus. The no deposit free spins are given without any deposit being made during the sign-ups and may not have wagering requirements. But you can only withdraw funds after making a minimum deposit.The combination of bonuses and free spins is the third type of free spin. Thanks to the profit accumulator reloads, you can make money in a casino.This offer, which is subdivided into bookmakers sports bet and club offers, allow you to go on playing even when your sign-ups have finished as you will see when you click this website.

Read: Online Gambling Secrets

Why People Think Are A Good Idea – Importance of Postcard

An individual ought to consistently ensure that they have had the option to advance their business and market it when they have special items in their offices. Postcard could assist a person with promoting their image consistently that it can get perceived in the society.

Postcard can generally be an extraordinary way that one ought to consistently utilize when they need to stay with the name of the known to numerous people in the society.

Most of the people in the general public can without much of a stretch find out about the organization which will disseminate the postcard to them at any given time. The Postcard will be given to the customers consistently and thus they will peruse progressively about the organization that is included and find out about it. One ought to consistently grasp the utilization of Postcard with the goal for them to do advancement of their business in an expert way.

The Postcards can likewise be set in an office where the customers will have the option to peruse them as they get administrations from the workplace any time.

An individual will have the option to open their organization to the general public when they utilize the Postcard at any time. One won’t need to stay with saying all the more regarding their utilizing their mouth since they will have the Postcard. One can circulate them over their workplaces to ensure that they have empowered the individuals to consistently be in a situation to find out about the company. When one lets numerous individuals to find out about their organization, it will be an incredible method for expanding their deals inside a short period. When one needs to have a powerful way that they will do advertising they ought to consistently ensure that they have utilized the Postcard.

The Postcard are practical and can assist the people with continuing to set aside their cash at all times. One ought to consistently ensure that they have printed mypostcard in mass so they can set aside more cash inside a brief period at all times.

One should ensure that they have given out the Postcard to the customers since they will go about as a consistent token of their business. The people will consistently recall of a specific organization once they read their Postcard. It will assist the organization with increasing its business since it will consistently get new customers every day who may be keen on what they could be offering.

Read: Online Gambling Secrets

What is IoT (Internet of Things)?

IoT – The current world of technological development is increasing rapidly from time to time. In the past, maybe we could only imagine or watch science fiction films about advanced technology.

Now, various equipment / machines have been equipped with technological sophistication that can facilitate our daily work. Starting from a smart car (smart car) that can walk alone to various destinations without a human driver, to a smart machine like Alexa that can sound remind you to do this and that on schedule.

With Google Assistant we can discuss to determine which is the fastest route we can take on the journey as well. Maybe it’s also our loneliness that can be lost with the existence of virtual AI friends that we can custom as we like. All of this latest technology is part of the Internet of Things.

What is the Internet of Things?

Explanation of IoT

Internet of Things (IoT) is a concept where certain objects have the ability to transfer data over a network without requiring interaction from human to human or from human to computer devices.

The Internet of Things is more often referred to by its abbreviation namely IoT. This IoT has grown rapidly starting from the convergence of wireless technology, micro-electromechanical systems (MEMS), and also the Internet.

This IoT is also often identified with RFID as a method of communication. Even so, IoT can also include other sensor technologies, such as wireless technology or QR codes that we often find around us.

What are the capabilities of IoT? As for the various abilities for example in sharing data, being a remote control, and many others. Actually its functions include also applied to objects that exist in the real world, around us. What are some examples? Examples are for processing foodstuffs, electronics, and various other machines or technologies that are all connected to local and global networks through embedded sensors and always on.

So, simply put the term Internet of Things refers to a machine or tool that can be identified as a virtual representation in its Internet-based structure.

How the Internet of Things Works

IoT Works
How IoT Works

Actually IoT works by utilizing a programming argument, where each of the arguments commands can produce an interaction between machines that have been connected automatically without human intervention and without unlimited any distance.

So, the Internet here is a link between the two machine interactions. Then where is human interference? Humans in the IoT’s job is only to be the regulator and supervisor of the machines that work directly.

The biggest challenge that can be an obstacle in configuring IoT is how to arrange its own communication network. Why does it become difficult and problematic? This is actually because the network is very complex. In addition, IoT also really really needs a fairly tight security system. Aside from these problems, expensive IoT development costs are also often the cause of its failure. In the end, manufacturing and development can end in production failure.

The constituent elements of IoT

There are some basic elements of IoT including artificial intelligence, connectivity, sensors, active involvement and the use of small devices. Next, we will briefly explain each of these elements:

Artificial Intelligence (AI)

Artificial Intelligence
Artificial Intelligence

IoT makes almost all existing machines “Smart”. This means that IoT can improve all aspects of our lives with the development of technology based on AI. So, the development of existing technology is done by collecting data, artificial intelligence algorithms, and available networks. Actually, for example, it could be a relatively simple machine such as increasing / developing your fridge / refrigerator so that it can detect if your favorite milk and cereal stocks are running out, even it can also make an order to the supermarket automatically if the stock runs out. The application of artificial intelligence is indeed very interesting.



In IoT, it is possible to create / open new networks, and IoT-specific networks. So, this network is no longer tied only to its main provider. The network does not have to be large-scale and expensive, it can be available on a much smaller and cheaper scale. IoT can create this small network between system devices.



These sensors are the differentiators that make IoT unique compared to other sophisticated machines. This sensor is able to define instruments, which change IoT from standard networks and tend to be passive in the device, to become an active system that can be integrated into our everyday real world.

Active Engagements

Engangement that is often applied by general technology that is passive. This IoT introduces a new paradigm for active content, products, and service involvement.

Small Size Device

Devices, as technology experts predict, are indeed becoming smaller, cheaper and stronger over time. IoT makes use of these small devices made specifically to produce accuracy, scalability, and good flexibility.

History and Development

Given that this IoT is a sophisticated technology that is able to transfer data over a network with easy interaction, the future of its development is very promising. Everyday human life can be optimized and facilitated with smart sensors and internet-based smart equipment.

The History

History IoT

Initially, the internet itself became famous in 1989. Then in 1990, a researcher named John Romkey made a device that was then classified as sophisticated. The device is a toaster that can be turned on or also turned off via the internet. See Also : AI in Industrial Revolution 4.0

Then in 1994, someone named Steve Mann created WearCam, and in 1997 Paul Saffo briefly explained his discoveries about sensor technology and his future. It was only in 1999 that Kevin Ashton created the concept of the Internet of Things. This Kevin is the Director of Auto IDCentre from MIT.

In the same year, namely 1999, a machine based on Radio Frequency Identification (RFID) was discovered globally. Well, this discovery is the beginning of the popularity of the concept of IoT. People, especially technology experts, are competing to develop the technology according to the IoT concept.

Engagement in Millenial Era

IoT in Millenial era

Then, in 2000, the well-known brand LG announced plans to create and release IoT technology, the smart cabinet. This smart wardrobe is able to determine whether there are food stocks that need to be refilled in the closet.

Then, in 2003, the previously mentioned FRID began to be placed in an important position in the period of technological development in America, through the Savi Program. In the same year, the giant retail company Walmart began deploying RFID in all branches of its stores available in various parts of the world.

IoT returned to prominence in 2005, when well-known media such as The Guardian and the Boston Globe began to quote lots of scientific articles and the process of developing IoT. Until 2008, various companies agreed to launch IPSO to market the use of IP in the network for “Smart Object” which also aims to activate IoT itself.

Miscellaneous Fields of Application of IoT

Development IoT


There are various kinds of application of IoT in the agricultural sector. Some of them include collecting data on temperature, rainfall, humidity, wind speed, pest attack, and soil load. These data can be used to automate agricultural techniques. Then, it can also be used to make decisions (decision making) based on available information in order to improve quality and quantity, minimize risk and waste, and reduce the effort needed in managing plants. For example, farmers can now monitor soil temperatures and humidity remotely, and even apply data obtained by IoT for more precise fertilization programs.


A large number of devices that consume energy (such as switches, electrical outlets, lights, televisions, etc.) can now be integrated with internet connectivity. Then what is the impact? The integration allows machines or networks to communicate in balancing electricity generation and the use of energy that is more efficient or effective. This device can also allow remote control access from users, or it can also be management from one center through a cloud-based interface. In addition, it can also activate functions such as scheduling (for example to turn on / turn off the heating machine, control the oven, change the lighting conditions from bright to dim to dark, etc.). So with IoT in this field, systems can gather and act on information related to energy and power to improve the efficiency of electricity production and distribution.


Environmental monitoring applications from IOT usually use sensors to help ensure environmental protection. Please show me for example? Its application, for example, by monitoring air or water quality, atmospheric or soil conditions, may even include monitoring of wildlife and their habitats. Not only that actually. This IoT can also be used in disaster management such as Tsunami or earthquake early warning systems. This can certainly be very helpful. The IoT device in this case means it has a very wide geographical range and is able to move.

Home Automation

IoT devices can also be used to monitor and control mechanical, electrical and electronic systems used in various types of buildings (for example, industry or your home as a place to live). This IoT tool or development can also monitor energy usage in real-time to reduce energy consumption. Not only that, it can even monitor the inhabitants. Example? Once you enter the house at night, the light is on. Then as soon as you enter the sleep schedule, the lights will automatically turn off. In the morning, your garden will be doused with water by an automatic sprinkler machine. Likewise with your refrigerator that can order your own food stock when it runs out. Everything can be integrated into a smart home system.

Medical and Health

In the world of medicine and health, IoT will continue to be developed. In fact, later in the future, all your health records can be transferred directly to medical personnel and hospitals. Data that can be detected and transmitted such as heart rate, blood sugar level, and so forth. Your personal smartphone / cellphone will be a sophisticated health monitoring tool and can certainly help you greatly. Existing IoT devices can even provide warnings when your health deteriorates or provide treatment advice and even make an appointment with a doctor. Actually several advanced IoT technologies have been developed and applied in this field. For example, a smart bed that can automatically notify a doctor / nurse when a patient wants to get out of bed etc. According to a report from Goldman Sachs in 2015, this kind of health device could save the country from excessive health budgets.


IoT can help humans in the integration of communication, control, and information processing in various existing transportation systems. The application of IoT is indeed continuously expanding to various aspects of the transportation system. Not only the engine technology, namely vehicles, but also infrastructure, and alluding to the function of the driver / user. The dynamic interactions that occur between the components come from a transportation system. The system allows inter-and intra-vehicle communication, more effective traffic control because it is classified as smart, smarter parking, logistics and fleet management, vehicle control, and also related to safety factors and road assistance.

Development of IoT 2020

Development IoT

The development of IoT in 2020 is very interesting to follow. Where IoT here has been integrated with various other advanced modules such as the application of AI. In its own concept, AI already carries the role of an individual who can think and plan things based on the logic he already has. As its development the logic he has is also growing. This growing analytical capability enables an IoT system to advance further.

Good or Bad?

Human fear of technological advances has also begun to emerge. Where in fiction films are often shown that later humans will be displaced by their own technology. In one of the films entitled “Mother” for example. Narrated a robot with the character of a mother who can raise human species from embryo cells to adults. This robot can apply all kinds of things that he met with the baby well. Get various input and know what the best thing he can do for the baby.

Actually this robot itself is a data and a living intelligence. He won’t die just because we deactivate one robot. He can transfer awareness using other media connected to the internet. It might be quite scary if what we meet here is negative. But it is very beneficial if we encounter positive things.

Very Effective for Human Being

Imagine when the condition of the human body is going to get sick, we have been told which part is sick, symptoms, follow-up and anticipation going forward by an AI. We are given the best view of how to regulate our bodies to be in their best condition. Have we ever just imagined if this IoT is used for negative things for example in warfare? Very scary for sure. Control is very automatic. Intermediary forces that we know are no longer a coordinated swarm of humans, but could be a swarm of robots that have many forms. Ranging from ground troops, drones or even automatic aircraft.

Yes, all returned again from the goal and how this IoT was developed. If its development towards a positive direction will certainly bring a very positive impact on life. Conversely, when used in a negative way, the order of life is also very easy to destroy in a matter of hours or even minutes.

What is the industrial revolution 4.0

Speaking of the industrial revolution, and most of you must have learn about the industrial revolution in England, right? In school we studied about the industrial revolution from the first revolution to the fourth. Usually in the subject of History often discuss this. Well, maybe some of you are confused , so why the title is the industrial revolution 4.0. How abut first, second, and third revolution?

This term is actually trending right now. Lately a lot of people talk about the industrial revolution 4.0. Not only national figures, international figures repeatedly discussed about “Prepare to welcome industry 4.0” or “We must not be crushed by industry 4.0” or “We must be able to exploit the phenomenon of Industry 4.0.” So, actually industrial revolution 4.0. What is that? In this article, we will describe the industrial revolution, starting from the first to the fourth. Because of it, let’s look at the article!

Industrial Revolution

industrial revolution
the industrial revolution had a very significant impact

First, we first look at the definition of the industrial revolution itself. The industrial revolution simply means a huge and radical change in the way humans produce goods. This great change has been recorded three times, and now we are undergoing the fourth industrial revolution. Every major change is always followed by major changes in the economic, political, even military and cultural. Certainly millions of old jobs have disappeared, and millions of new jobs have emerged.

We have to look in more detail in every industrial revolution, but the rough thing is, some things that were so difficult, so long, so expensive in the process of sudden production are easy, fast, and cheap. So remember, economics is talking about various kinds of human efforts to deal with scarcity. Because the industrial revolution reduces, sometimes even ELIMINATES some of these scarcities, so that the time, energy, and money that were originally used to overcome these shortages suddenly become free, so they can be used for other things, to overcome the scarcity of others.

The loss or reduction of a scarcity automatically changes many aspects of social life. Especially if it turns out some rarity disappeared! but, we see through the discussion on the revolution that most closely approaches the industrial revolution 4, namely the industrial revolution 3.

Industrial Revolution 3.0

The advanced technology of using robots come in industrial revolution 3.0
The advanced technology of using robots come in industrial revolution 3.0

After replacing muscle power with steam, then parallel production with serial, what other changes can occur in the industrial world? The next factor that is replaced is the human being. After the second industrial revolution, humans still play a very important role in the production of goods, as already mentioned, this is the industrial era!

Computer Era

The third industrial revolution changed it. After this revolution, the industrial age slowly ended, the information age began. If the first revolution is triggered by a steam engine, the second revolution is triggered by a conveyor belt and electricity, the third revolution is triggered by a moving machine, which thinks automatically: computers and robots.

The computer was originally a luxury item. One of the first computers developed in World War 2 as a machine to break the code made in Nazi Germany, the first programmable computer called the Colossus was a giant machine as big as a bedroom. Do not have RAM, and can not take orders from humans through the keyboard, especially the touchscreen, but through paper tape. This ancient computer also needed enormous electricity: 8500 watts! But its ability is not as simple as the smartphone in the pockets of most Indonesians today.

Technology Make Very Smaller Upgrade

However, technology progress for the extraordinary computer shot after the second world war finished. The discovery of semiconductors, followed by transistors, then integrated chips (ICs) made the computer size smaller, the electricity needed less, while the ability to count flew to the sky.

Reducing the size of the computer becomes important, because now the computer can be installed on the machines that operate the production line. Now, computers replace many people as operators and controllers of production lines, just as telephone operators in telephone companies are replaced by relays so that we just have to call phone numbers to contact our friends.

This process is called “Automation”, everything is automatic, no need for humans anymore. That is, once again there is a decrease in the scarcity of human resources, freeing thousands of workers for other jobs.

Along with the progress of the computer, the progress of machines that can be controlled by the computer also increased. All kinds of machines are created with forms and functions that resemble the form and function of humans. The computer becomes his brain, the robot becomes his hand, slowly the function of manual labor and manual labor disappear.

However, this does not mean that human tasks in production can be completely replaced by robots. Car manufacturers originally thought the 3.0 industrial revolution would be like 2.0, where parallel production was totally replaced by production lines, robots would be totally replaced by humans.

Replacements Caused By Technology

Car factories in the 1990s tried to replace all their employees with robots, the result being that productivity declined. E Musk tried to do it again in the 2010’s at the Tesla car factory. Once again, everyone discovered the fact that for the production of cars, the combination of humans and robots-computers was the best. The emergence of robots and computers is a human helper, not a successor.

Once again, this revolution changed society. Developed countries like the United States and Western European countries tend to change from relying on the manufacturing sector, to relying on the service sector such as banks, film studios, IT, etc. as their economic motor. They changed from an industrial economy to an information economy.

Because of this progress too, there was a change from analog data to digital data. For example, from recording music using cassettes to using CDs, from watching movies on video players to using DVD players; etc. This happens because the computer can only work with digital data.

Because this is the third industrial revolution, another name is “Digital revolution”. Because of this revolution too, video games have become something normal in our lives, becoming a business with billions of value, even trillions of dollars. In other words on the negative side, digitalization, computerization made new crimes emerge: computer fraud.

OK, after installing computers and robots in the production process, what is the progress? What other progress can be found in the industry?

Industrial Revolution 4.0

Artificial Intelligence
Form of Industrial revolution 4.0 is AI

The concept of “Industry 4.0″ was first used in public at the Hannover Messe industrial exhibition in the city of Hannover, Germany in 2011. From this event also the idea of ​​”Industry 2.0” and “Industry 3.0” has just emerged, previously only known as the “Technological Revolution” “And” Digital Revolution “. Well, you might be able to guess, after those two revolutions, what kind of revolution could happen again?

Notice that all revolutions occur using the previous revolution as a basis. Industry 2.0 will not emerge as long as we still rely on muscle, wind, and water for production. Industry 3.0 essentially upgrades production lines with computers and robots. So, industry 4.0 also definitely uses computers and robots as its basis. So, what progress has emerged in our computer world lately?

Great Things From Network

First, the most noticeable progress is the internet. All computers are connected to a shared network. Computers are also getting smaller so that it can be as big as our fist, so we have a smartphone. Not only are we connected to the giant network, we are ALWAYS connected to the giant network.

This is the first part of the fourth industrial revolution: “Internet of Things” when the computers in the factory are connected to the internet, when every problem in the production line can be immediately known WHEN IT is ALSO by the factory owner, wherever the owner is!

Secondly, technology progress also created 1001 new sensors, and 1001 ways to utilize information obtained from these sensors that records everything 24 hours a day. This information even concerns the performance of its human employees. For example, now the company can track the movements of all and every employee while in the factory. From this movement, it can be seen, for example, that these employees spend too much time in one section, so that the part needs to be improved.

Big Data

There are still 1001 other information that can be obtained from 1001 different data, so there are still 1001-1001 ways to increase factory productivity which was previously unthinkable. Because there is so much variety and the amount of new data, this aspect is often called Big Data.

Third, related to the first and second, is Cloud Computing. Complex calculations still require large sophisticated computers, but because they are connected to the internet, because there is a lot of data that can be sent via the internet, all of these calculations can be done elsewhere, not at the factory. So, a company that has 5 factories in 5 different countries only needs to buy a super computer to process the data needed simultaneously for the five factories. No need to buy 5 supercomputers to do this separately.

Learning Machine

Fourth, this is actually the biggest one: Machine learning, which is a machine that has the ability to learn, which can realize that it has made a mistake so that it makes correct corrections to improve subsequent results. This can be illustrated by the story “AlphaZero AI”. Before Machine Learning, a computer did its job by being “Instructed” or “Instructed” by humans.

Combining these four things means that calculations that are complex, extraordinary, and unthinkable about anything can be done by a super computer with capabilities beyond the limits of human ability. In fact, of course, now it’s not that cool. The fourth point, namely AI and Machine Learning, is still very limited for certain tasks.

Not only Indonesia, developed countries like Japan, Germany, and the United States are still debating the consequences of this fourth industrial revolution, because this revolution is STILL taking place, or even just BEGIN. In other words there are still many challenges. Internet connection, for example, is not universal.

There are still some areas that don’t have internet connection, even in the United States. In addition, an internet connection means the emergence of new security holes. A rival company is definitely trying to snoop on the performance and design of production through the computer security of production controls that can now be accessed from the internet. See also : Love with Robots


Staging of Industrial Revolution
Staging of Industrial Revolution

Very rapid progress forces us to consciously or not to follow the path where this technology runs, if it does not follow the rhythm that is running then we can be sure we will lose hold. This 4.0 Revolution is almost universally carried out where all regions have used up to date civilizations. Indeed there are only a few parts of the region that are still unreachable with technology, but they can be counted on the fingers and are progressing to include technology in them.

Rise of AI

So what happens if a region with slow technological development does not immediately follow? Certainly will be an increasingly underdeveloped area. There are so many conveniences that we can get with the existence of technology. Speed, convenience, extremely easy access and so on. What we get, we can upgrade again to a better one.

Recently the development of AI has begun to be worked on seriously so that many of the developed countries have started to make various AI prototypes. Did you know that the use of non-human resources that have been trained and properly systemized will be more efficient in their use. In other words We will greatly suppress the number of incidents that may occur, maybe even we can zero it! Furthermore, we do not need to doubt the discipline of a machine, they are never licensed, or even negligent. They only stop when something doesn’t work well on their system. It means that there is nothing like the discipline of a machine, right?

Skill vs System

With very long and long experience, maybe a bank teller can count large bills very quickly. It’s just one person and it’s very difficult to make someone like that, except for having to forge it for years. However with the system and also robotics, if you have found the logic we can even duplicate the skill and can apply it to many machines in a very short time. No need to wait for years of experience. So, next year we can leave it to develop more advanced technology in the direction.

When talking with AI, we will be even more amazed, where we can improve the skills of our machines without the need to teach us. However they will adopt this knowledge from the outside world and from the lessons they can learn. They are very easy to adjust and adopt what they have learned so far. Therefore add that information to their processor lines and also do a personal analysis which then adds a new line of information to their system is their automatically jobs. Like a student in grade 1 elementary school, without having to teach us in just one month he can jump into a grade 6 student. That fast! Imagine how efficient an AI is.


Technology VS Human
Constrain technology vs human

In conclusion, behind the sophistication of a technology there are still other problems that are difficult to solve for this universal development itself. However that is related to the norm and the heart still cannot be used fully for a machine. The machine will only process something that has been given and taught to him. But there are times when we face a case that requires consideration and also the use of human instincts. The machine is still unable to use it, so the machine is still called very rigid to deal with whatever the rationale is to use feelings like those of humans. Although therefore has been tried with various advanced systems, but the human consideration system is still very difficult to sample and apply to the machine.

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To stop a tech apocalypse we need ethics and the arts

Sara James, La Trobe University and Sarah Midford, La Trobe University

If recent television shows are anything to go by, we’re a little concerned about the consequences of technological development. Dystopian narratives abound.

Black Mirror projects the negative consequences of social media, while artificial intelligence turns rogue in The 100 and Better Than Us. The potential extinction of the human race is up for grabs in Travellers, and Altered Carbon frets over the separation of human consciousness from the body. And Humans and Westworld see trouble ahead for human-android relations.

Narratives like these have a long lineage. Science fiction has been articulating our hopes and fears about technological disruption at least since Mary Shelley’s Frankenstein (1818).

However, as the likes of driverless cars and robot therapists emerge, some previously fictional concerns are no longer imaginative speculation. Instead, they represent real and urgent problems.

What kind of future do we want?

Last year, Australia’s Chief Scientist Alan Finkel suggested that we in Australia should become “human custodians”. This would mean being leaders in technological development, ethics, and human rights.

Finkel isn’t alone in his concern. But it won’t be simple to address these issues in the development of new technology.

Many people in government, industry and universities now argue that including perspectives from the humanities and social sciences will be a key factor.

A recent report from the Australian Council of Learned Academies (ACOLA) brought together experts from scientific and technical fields as well as the humanities, arts and social sciences to examine key issues arising from artificial intelligence.

According to the chair of the ACOLA board, Hugh Bradlow, the report aims to ensure that “the well-being of society” is placed “at the centre of any development.”

Human-centred AI

A similar vision drives Stanford University’s Institute for Human-Centered Artificial Intelligence. The institute brings together researchers from the humanities, education, law, medicine, business and STEM to study and develop “human-centred” AI technologies. The idea underpinning their work is that “AI should be collaborative, augmentative and enhancing to human productivity and quality of life”.

Meanwhile, across the Atlantic, the Future of Humanity Institute at the University of Oxford similarly investigates “big-picture questions” to ensure “a long and flourishing future for humanity”.

The centre is set to double in size in the next year thanks to a £13.3 million (A$25 million) contribution from the Open Philanthropy Project. The founder of the institute, philosopher Nick Bostrom, said:

There is a long-distance race on between humanity’s technological capability, which is like a stallion galloping across the fields, and humanity’s wisdom, which is more like a foal on unsteady legs.

What to build and why

The IT sector is also wrestling with the ethical issues raised by rapid technological advancement. Microsoft’s Brad Smith and Harry Shum wrote in their 2018 book The Future Computed that one of their “most important conclusions” was that the humanities and social sciences have a crucial role to play in confronting the challenges raised by AI:

Languages, art, history, economics, ethics, philosophy, psychology and human development courses can teach critical, philosophical and ethics-based skills that will be instrumental in the development and management of AI solutions.

Hiring practices in tech companies are already shifting. In a TED talk on “Why tech needs the humanities”, Eric Berridge – chief executive of the IBM-owned tech consulting firm Bluewolf – explains why his company increasingly hires humanities graduates.

While the sciences teach us how to build things, it’s the humanities that teach us what to build and why to build them.

Only 100 of Bluewolf’s 1,000 employees have degrees in computer science and engineering. Even the Chief Technology Officer is an English major.

Tech CEO Eric Berridge explains why his company hires humanities graduates.

Education for a brighter future

Similarly, Matt Reaney, the chief executive and founder of Big Cloud – a recruitment company that specialises in data science, machine learning and AI employment – has argued that technology needs more people with humanities training.

[The humanities] give context to the world we operate in day to day. Critical thinking skills, deeper understanding of the world around us, philosophy, ethics, communication, and creativity offer different approaches to problems posed by technology.

Reaney proposes a “more blended approach” to higher education, offering degrees that combine the arts and STEM.

Another advocate of the interdisciplinary approach is Joseph Aoun, President of Northeastern University in Boston. He has argued that in the age of AI, higher education should be focusing on what he calls “humanics”, equipping graduates with three key literacies: technological literacy, data literacy and human literacy.

The time has come to answer the call for humanities graduates capable of crossing over into the world of technology so that our human future can be as bright as possible.

Without training in ethics, human rights and social justice, the people who develop the technologies that will shape our future could make poor decisions. And that future might turn out to be one of the calamities we have already seen on screen.

Sara James, Senior Lecturer, Sociology, La Trobe University and Sarah Midford, Senior Lecturer, Classics and Ancient History and Director of Teaching and Learning (ugrad), School of Humanities and Social Sciences, La Trobe University

This article is republished from The Conversation under a Creative Commons license. Read the original article.

How can we make sure that algorithms are fair?

Karthik Kannan, Purdue University

Using machines to augment human activity is nothing new. Egyptian hieroglyphs show the use of horse-drawn carriages even before 300 B.C. Ancient Indian literature such as “Silapadikaram” has described animals being used for farming. And one glance outside shows that today people use motorized vehicles to get around.

Where in the past human beings have augmented ourselves in physical ways, now the nature of augmentation also is more intelligent. Again, all one needs to do is look to cars – engineers are seemingly on the cusp of self-driving cars guided by artificial intelligence. Other devices are in various stages of becoming more intelligent. Along the way, interactions between people and machines are changing.

Machine and human intelligences bring different strengths to the table. Researchers like me are working to understand how algorithms can complement human skills while at the same time minimizing the liabilities of relying on machine intelligence. As a machine learning expert, I predict there will soon be a new balance between human and machine intelligence, a shift that humanity hasn’t encountered before.

Such changes often elicit fear of the unknown, and in this case, one of the unknowns is how machines make decisions. This is especially so when it comes to fairness. Can machines be fair in a way that people understand?

When people are illogical

To humans, fairness is often at the heart of a good decision. Decision-making tends to rely on both the emotional and rational centers of our brains, what Nobel laureate Daniel Kahneman calls System 1 and System 2 thinking. Decision theorists believe that the emotional centers of the brain have been quite well developed across the ages, while brain areas involved in rational or logical thinking evolved more recently. The rational and logical part of the brain, what Kahneman calls System 2, has given humans an advantage over other species.

However, because System 2 was more recently developed, human decision-making is often buggy. This is why many decisions are illogical, inconsistent and suboptimal.

For example, preference reversal is a well-known yet illogical phenomenon that people exhibit: In it, a person who prefers choice A over B and B over C does not necessarily prefer A over C. Or consider that researchers have found that criminal court judges tend to be more lenient with parole decisions right after lunch breaks than at the close of the day.

Part of the problem is that our brains have trouble precisely computing probabilities without appropriate training. We often use irrelevant information or are influenced by extraneous factors. This is where machine intelligence can be helpful.

Machines are logical…to a fault

Well-designed machine intelligence can be consistent and useful in making optimal decisions. By their nature, they can be logical in the mathematical sense – they simply don’t stray from the program’s instruction. In a well-designed machine-learning algorithm, one would not encounter the illogical preference reversals that people frequently exhibit, for example. Within margins of statistical errors, the decisions from machine intelligence are consistent.

The problem is that machine intelligence is not always well designed.

As algorithms become more powerful and are incorporated into more parts of life, scientists like me expect this new world, one with a different balance between machine and human intelligence, to be the norm of the future.

Judges’ rulings about parole can come down to what the computer program advises. THICHA SATAPITANON/Shutterstock.com

In the criminal justice system, judges use algorithms during parole decisions to calculate recidivism risks. In theory, this practice could overcome any bias introduced by lunch breaks or exhaustion at the end of the day. Yet when journalists from ProPublica conducted an investigation, they found these algorithms were unfair: white men with prior armed robbery convictions were rated as lower risk than African American females who were convicted of misdemeanors.

There are many more such examples of machine learning algorithms later found to be unfair, including Amazon and its recruiting and Google’s image labeling.

Researchers have been aware of these problems and have worked to impose restrictions that ensure fairness from the outset. For example, an algorithm called CB (color blind) imposes the restriction that any discriminating variables, such as race or gender, should not be used in predicting the outcomes. Another, called DP (demographic parity), ensures that groups are proportionally fair. In other words, the proportion of the group receiving a positive outcome is equal or fair across both the discriminating and nondiscriminating groups.

Researchers and policymakers are starting to take up the mantle. IBM has open-sourced many of their algorithms and released them under the “AI Fairness 360” banner. And the National Science Foundation recently accepted proposals from scientists who want to bolster the research foundation that underpins fairness in AI.

Improving the fairness of machines’ decisions

I believe that existing fair machine algorithms are weak in many ways. This weakness often stems from the criteria used to ensure fairness. Most algorithms that impose “fairness restriction” such as demographic parity (DP) and color blindness (CB) are focused on ensuring fairness at the outcome level. If there are two people from different subpopulations, the imposed restrictions ensure that the outcome of their decisions is consistent across the groups.

Beyond just the inputs and the outputs, algorithm designers need to take into account how groups will change their behavior to adapt to the algorithm. elenabsl/Shutterstock.com

While this is a good first step, researchers need to look beyond the outcomes alone and focus on the process as well. For instance, when an algorithm is used, the subpopulations that are affected will naturally change their efforts in response. Those changes need to be taken into account, too. Because they have not been taken into account, my colleagues and I focus on what we call “best response fairness.”

If the subpopulations are inherently similar, their effort level to achieve the same outcome should also be the same even after the algorithm is implemented. This simple definition of best response fairness is not met by DP- and CB-based algorithms. For example, DP requires the positive rates to be equal even if one of the subpopulations does not put in effort. In other words, people in one subpopulation would have to work significantly harder to achieve the same outcome. While a DP-based algorithm would consider it fair – after all, both subpopulations achieved the same outcome – most humans would not.

There is another fairness restriction known as equalized odds (EO) which satisfies the notion of best response fairness – it ensures fairness even if you take into account the response of the subpopulations. However, to impose the restriction, the algorithm needs to know the discriminating variables (say, black/white), and it will end up setting explicitly different thresholds for subpopulations – so, the thresholds will be explicitly different for white and black parole candidates.

While that would help increase fairness of outcomes, such a procedure may violate the notion of equal treatment required by the Civil Rights Act of 1964. For this reason, a California Law Review article has urged policymakers to amend the legislation so that fair algorithms that utilize this approach can be used without potential legal repercussion.

These constraints motivate my colleagues and me to develop an algorithm that is not only “best response fair” but also does not explicitly use discriminating variables. We demonstrate the performance of our algorithms theoretically using simulated data sets and real sample data sets from the web. When we tested our algorithms with the widely used sample data sets, we were surprised at how well they performed relative to open-source algorithms assembled by IBM.

Our work suggests that, despite the challenges, machines and algorithms will continue to be useful to humans – for physical jobs as well as knowledge jobs. We must remain vigilant that any decisions made by algorithms are fair, and it is imperative that everyone understands their limitations. If we can do that, then it’s possible that human and machine intelligence will complement each other in valuable ways.

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Karthik Kannan, Professor of Management and Director of the Krenicki Center for Business Analytics & Machine Learning, Purdue University

This article is republished from The Conversation under a Creative Commons license. Read the original article.

For the love of technology! Sex robots and virtual reality

Neil McArthur, University of Manitoba and Markie Twist, University of Wisconsin Colleges and the University of Wisconsin-Extension

Sex as we know it is about to change.

We are already living through a new sexual revolution, thanks to technologies that have transformed the way we relate to each other in our intimate relationships. But we believe that a second wave of sexual technologies is now starting to appear, and that these are transforming how some people view their very sexual identity.

People we refer to as “digisexuals” are turning to advanced technologies, such as robots, virtual reality (VR) environments and feedback devices known as teledildonics, to take the place of human partners.

Neil McArthur is the co-editor of Robot Sex: Social and Ethical Implications, published in 2017 by MIT Press.

Defining digisexuality

In our research, we use the term digisexuality in two senses. The first, broader sense is to describe the use of advanced technologies in sex and relationships. People are already familiar with what we call first-wave sexual technologies, which are the many things that we use to connect us with our current or prospective partners. We text each other, we use Snapchat and Skype, and we go on social apps like Tinder and Bumble to meet new people.

These technologies have been adopted so widely, so quickly, that it is easy to miss what a profound effect they have had on our intimate lives.

It is fascinating to study how people use technology in their relationships. Not surprisingly, in our research we can already see people displaying different attachment styles in their use of technology. As with their human relationships, people relate to their technology in ways that may be secure, anxious, avoidant or some (often disorganized) combination of the three.

There is a second, narrower sense, in which we use the term digisexuals for people whose sexual identity is shaped by what we call second-wave sexual technologies.

These technologies are defined by their ability to offer sexual experiences that are intense, immersive and do not depend on a human partner. Sex robots are the second-wave technology people are most familiar with. They don’t exist yet, not really, but they have been widely discussed in the media and often appear in movies and on television. Some companies have previewed sex robot prototypes, but these are nothing close to what most people would consider a proper sexbot. They are also incredibly creepy.

Refining sexbots

There are several companies, such as the Real Doll company, working on developing realistic sexbots. But there are a few technical hurdles they have yet to overcome. Truly interactive artificial intelligence is developing slowly, for instance, and it is proving difficult to teach a robot to walk. More interestingly, some inventors have begun experimenting with innovative, non-anthropomorphic designs for sexbots.

Meanwhile, VR is progressing rapidly. And in the sex industry, VR is already being used in ways that go beyond the passive viewing of pornography. Immersive virtual worlds and multi-player environments, often coupled with haptic feedback devices, are already being created that offer people intense sexual experiences that the real world possibly never could.

Investigative journalist Emily Witt has written about her experience with some of these technologies in her 2016 book, Future Sex: A New Kind of Free Love.

Sherry Turkle explores relational artifacts in a 1999 lecture at the University of Washington.

There is compelling evidence that second-wave technologies have an effect on our brains that is qualitatively different from what came before.

MIT professor Sherry Turkle and others have done studies on the intensity of the bond people tend to form with what she calls “relational artifacts” such as robots. Turkle defines relational artifacts as “non-living objects that are, or at least appear to be, sufficiently responsive that people naturally conceive themselves to be in a mutual relationship with them.” Immersive VR experiences also offer a level of intensity that is qualitatively different from other sorts of media.

Immersive experiences

In a lecture at the Virtual Futures Forum in 2016, VR researcher Sylvia Xueni Pan explained the immersive nature of VR technology. It creates what she describes as a placement and plausibility illusion within the human brain.

As a result of its real-time positioning, 3D stereo display and its total field of view, the user’s brain comes to believe that the user is really present. As she says: “If situations and events that happen in VR actually correlates to your actions and relates personally to you, then you react towards these events as if they were real.”

As technologies such as virtual reality develop, more people will use them for sexual experiences. Shutterstock

As these technologies develop, they will enable sexual experiences that many people will find just as satisfying as those with human partners, or in some cases more so.

We believe that in the coming decades, as these technologies become more sophisticated and more widespread, there will be an increasing number of people who will choose to find sex and partnership entirely from artificial agents or in virtual environments.

And as they do, we will also see the emergence of this new sexual identity we call digisexuality.

Sexuality and stigma

A digisexual is someone who sees immersive technologies such as sex robots and virtual reality pornography as integral to their sexual experience, and who feels no need to search for physical intimacy with human partners.

Marginal sexual identities almost invariably face stigma, and it is already apparent that digisexuals will be no exception. The idea of digisexuality as an identity has already received strong negative reactions from many commentators in the media and online.

We should learn from the mistakes of the past. Society has stigmatized gays and lesbians, bisexuals, pansexuals, asexuals, consensually non-mongamous people and practitioners of bondange/discipline-dominance/submission-sadomasochism (BDSM).

Then, as time goes on, we have gradually learned to be more accepting of all these diverse sexual identities. We should bring that same openness to digisexuals. As immersive sexual technologies become more widespread, we should approach them, and their users, with an open mind.

We don’t know where technology is going, and there are definitely concerns that need to be discussed — such as the ways in which our interactions with technology could shape our attitudes towards consent with our human partners.

Our research addresses one specific piece of the puzzle: the question of how technology impacts sexual-identity formation, and how people with technologically based sexual identities may face stigma and prejudice. Yes, there are dangers. But whips and paddles can hurt too.

Neil McArthur, Director, Centre for Professional and Applied Ethics, University of Manitoba and Markie Twist, Professor, University of Wisconsin Colleges and the University of Wisconsin-Extension

This article is republished from The Conversation under a Creative Commons license. Read the original article.