Youths are complaining because of the lack of jobs. Could AI our fourth industrial revolution be playing a role? It’s transforming our job s industry and our lives. Automation in the industrial revolution is helping in boosting production.

The Industrial revolution has shaped the world economy transforming, agriculture, rular areas, urban areas, transport and lively hood of many communities. Production of goods has been depending on human labor on early revolutions which resulted in forced labor and exploitation of people. Fortunately, with the introduction of machines and advanced techniques in iron making, textiles industries among others helped to reduce human-forced labor. The innovation of power loom, flying shuttle, water frame and the spinning jenny in the 18th century made the production of clothes reliable and fast.

The beginning of the 1930s marked the game-changing use of steam-powered engines. It all started in Britain and the rest of the world followed the steps. Britain was known for the large textile industry for cotton, wool, and linen. It was a ‘cottage industry” which relied on a small scale human labor who used dyers, weavers, and spinners.

This was described as the first industrial revolution in human history. In the 19th and 20th century marked the second period of the industrial revolution which was characterized by steel, automobile industries, and electricity.

Types of industries

Industries can be categorized according to products, services they provide and according to a value such as art, knowledge, and infrastructure. There are different types of industries

1. Agriculture. It was the first industry that contributed to the civilization of men and is characterized by farming fishing among others.
2. Manufacturing. Its the process of turning raw materials into finished products. It is one of the largest industries covering the automotive industry, electronics steel industry among others.
3. Service industry. This includes mass media Broadcasting, News Media, Publishing, Internet among others.

Categories of the industry is a huge list including Mining, Telecommunications, industry, Transport industry, Water industry, Construction industry, Energy industry, Electrical power industry, Petroleum industry among others.

Autonomous production systems

The word is now facing the fourth revolution, not of religions, ideologies or nations but technology revolutions where consequences are robots replacing human labor. This fourth revolution is fundamentally disrupting the production in our industries from the way we work, live and connect.

Autonomous production systems are taking shape in manufacturing industries with the contribution of key drivers of these developments. Productions systems are now fully running autonomously with machines optimizing themselves by using high-level technology control systems to communicate and make decisions and also improve the quality of production. This is called lights-out manufacturing. However autonomous technology requires extensive connectivity and automation when the production process is taking place. With the contribution of ML, AI, and IoT, this vision is coming to reality. Many of these visions are already possible in our productions nowadays despite having some parts of the visions missings. Every manufacturer whether small or huge has high expectations for autonomous production systems for their mass production. The autonomous production systems still require manual intervention like programming, assembly, repair of breakdown tools and scheduling of tasks.

Bin Picking Technology

Bin picking is one of the best technology applied in the industrial revolution. It looks, selects, picks and places objects making production easy and fast. It is not easy to rely on it but when combined with a robot it performance is credible.

The main challenge of a bin-picking robot is robots are only good at doing repeatable processes and not different unique tasks. A robot performs one unique task at a time. Applying AI, ML, and IoT helping overcome these challenges. These technologies include;

1. High Tech Vision systems which help the robot to adapt to the environment and perform different unique tasks.
2. Robotic tooling has an advanced gripping method enabling it to grab objects randomly regarding their sizes.
3. Big data application. Bin Picking comprises of embedded vision devices and smart cameras which help to collect and compile data for flexible applications.

Industrial technology may not be destiny but it is making our political economy prevail. It is creating a few employments and huge wealth, the problem is how to distribute this wealth to everyone.

The world road network is increasing and by 2050 it is estimated it will be spanning over 25 million kilometers. Our roads present human advancement in engineering innovations and technology in our modern world.
Roads were defined as known routes with informal construction and maintenance. Egyptians are known to construct the oldest roads sometimes between 2200 and 2600 BC. In the city of Ur there are traces of paved streets which date back to 4000 BC. In England, we have timbered engineered roads called timber track causeway built 3807 BC during winter or spring 3806 BC. In India, brick-paved streets were discovered as early as 3000 BC. In 312 BC The Roman empire were experts in constructing straight strong stone roads with the help of military help. The Roman Empire had interconnections of 29 major paved roads around 78,000 kilometers. Roads have evolved over time with the influence of revolutions and the rise of different governance.
Classes of roads
Trunk road – Their fundamental capacity is to encourage local dispersion of traffic (intercity connections). They might be national or common streets and the kind of roads found in this class are expressways, dual carriageway, single carriageway primary streets.
Primary distributor Roads – It forms the primary networks of the whole urban area connection. All traffic is determined by these roads and they have restricted access, highly fairly speed and are huge.
District roads – They are minor district distributor roads that connect various residential, business premises and links between the primary network roads within residential premises.
Local road distributors – they link to district roads.
Residential roads – They help people access their houses and also can help people enjoy their exercise activities like running and jogging.

Different associations are researching in engineering to come up with different technologies that apply AI and machine learning to develop more advanced cognitive systems that utilize big data. This could result in innovations in the road network construction which are reliable, durable and which reduce congestion and traffic. Some latest roads innovations which we pride of being;
Pollution-friendly roads
Pollution is not only contributing to one out of eight deaths world, but it cost the world around £3-4 trillion every year.
To measure pollutions organizations like EarthSense Systems has created AI-controlled air quality sensors that can help deal with this declining air quality, especially in urban cities. Utilizing AI, these sensors give continuous estimations of different air quality components to enable governments to address explicit air issues. These can install in the streets and monitor everything.
Reliable road maintenance.
Infrastructure requires continued maintenance and repair. The cost of maintaining and repairing these roads is not the only problem hindering these projects, but also how smart to conduct this maintenance. Enter Roadbotics, a system that utilizes data using AI innovation to sensor road damage and reports the conditions in real-time to city experts to help in fixing damages that could have taken a long time to detect. This data is captured through a cell phone application, which faces the street before a vehicle and observes the area, size, and level of street dangers for investigation.
Traffic control
IBM has been working on cameras controlled traffic light which has a patent granted. The traffic light has been controlled by a timer which cant detect which lane is overloaded with traffic. The thought would be that a system would break down the continuous progression of traffic and after that make a judgment of the most ideal approach to deal with the most overloaded lane and release the vehicles. “In an approach for adapting traffic signal timing, a computer receives a streaming video for one or more paths of a first intersection. The computer identifies traffic within the received streaming video. The computer calculates traffic flow for the one or more paths of the first intersection based on the identified traffic.” From, http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-bool.html&r=1&f=G&l=50&co1=AND&d=PTXT&s1=9965951&OS=9965951&RS=9965951

AI is becoming more real and applicable to different organizations with the rate which everyone could not think of. We have to sit back and watch what this magic of AI, ML, and IoT will give us or which solutions it will solve or it will create more problems.

Security is considered being free from any hazardous potential harm which may course damage. Be it a terrorist attack, cyberattack among others. When it comes to smart cities, artificial intelligence is playing an important role.
You may think about a city that empowers helpful, even sumptuous living through brilliant and reasonable houses, strong infrastructure, and digitized administration. The facts confirm that advantages, for example, exceptional degrees of accommodation and availability will separate the urban areas of tomorrow from those of today. Be that as it may, our obsession with such charming advantages frequently makes us neglect the way that keen urban areas can likewise improve the arrangement of fundamental human necessities, for example, safety and security.
While the facts may demonstrate that the world is slowly turning into a more secure to live in, numerous dangers to individuals’ prosperity do exist. Unsurprisingly we are the source of these insecurities. Be it assorted out of slavery, mishaps, arranged burglaries or robberies, there are numerous circumstances where individuals’ prosperity and security might be predicated on the activities of someone else or gathering of individuals. What’s more, anticipating such occurrences is principal among the obligations of brilliant city governors, alongside guaranteeing the satisfactory supply of fundamental necessities, for example, nourishment and water. With that in mind, keen regional authorities can utilize AI, IoT, and ML in physical security.
The safety and security of people in big cities have generally been depended on government departments. A similar will be valid for the smart city to come. Be that as it may, the old strategies utilized by police to screen the city people for any potential threat won’t get the job done to keep up lawfulness later on. Indeed, the police offices in numerous urban communities in many cities are now short-staffed, making it harder for them to guarantee security.
The world population is becoming huge making people move to big cities in search of better life and employment. Henceforth, to support them, governments over the world are utilizing modern technology and innovations for physical security. The utilization of technology like AI in physical safety and security is getting to be ordinary nowadays. What’s more, as smart urban cities keep on developing over the world, such technology will pick up universality and usefulness, giving governments more prominent influence in their journey to guarantee safety and security. How can utilizing IoT and AI affect physical security:
Monitoring people
Keep Check on a huge group in open places for any potential security occurrences is significant for safety. For example, recognizing an individual who might convey explosives or weapons can be a genuine issue.

Utilizing various kinds of IoT sensors can continually be watchful for suspicious and conceivably destructive things. For example, examining gadgets can identify items made of specific materials and observe their shape, regardless of whether they are avoided the plain sight.

Real-time Video analytics
CCTV had been used in the past. Unfortunately, it only helps retrospectively analyze crimes that have been already committed hence cant prevent realtime crime. This drawback is effectively fixed with the assistance of video investigation, where deep learning AI analyses real-time video. Any irregularities, for example, premonition pointers of brutality can be distinguished by this software and tell the adjacent workforce there is a danger. This may help in snappy response to wrongdoings or even counteractive action of numerous criminal demonstrations.

High-security areas Access control
Access to high-security territories, for example, airplane terminals, banks, control plants, government server farms, and army installations can be limited by AI and IoT. IoT-fueled security entryway security frameworks can guarantee that alone approved workforce can enter key government offices. Multifaceted verification, which may incorporate biometric examining, can be utilized to add further layers of security to the most delicate pieces of such offices.

Robotic police and drones
The utilization of AI-controlled security robots can conceivably dispense the requirement for human labor. Robots can patrol and recognize potential dangers with the assistance of forefront sensors and cameras. They can keep off threats from happening just by their simple nearness and can execute fundamental security missions like group control and search activities, once in a while with more prominent viability than human officials. So also, drones can be sent to screen open places and tell a close-by security workforce if there are potential dangers.

You are worried and am worried about what could be our solution to climate change. One thing you can agree and I agree is climate change is not a hoax or science fiction.
According to climate.nasa.gov/evidence/ Our planet’s climate has changed over time. Throughout 650,000 years there have been seven cycles of frigid development and retreat, with the sudden end of the last ice age around 7,000 years back denoting the start of the cutting edge of our planet climate moments and civilization. A large portion of these atmosphere changes is credited to extremely little varieties in Earth’s ozone layer that change the measure of sun rays that enters our planet.
The current global warming trends are extremely likely contributed by our daily activities which are non-friendly environmental since the mid-20th century.
Earth-circling satellites and other high-tech advances have empowered researchers to see the comprehensive view, gathering a wide range of data about our planet and its atmosphere on a worldwide scale. This assemblage of data collection, gathered over numerous years, uncovers the sign of an evolving atmosphere. It shows how different gases and carbon dioxide trap heat on our planet.
The world and especially Europe has recorded the highest temperature record in history during the summer of 2019. Visitors skipped in wellsprings to cool themselves, experts and volunteers helped the sick, homeless and elderly. Trains were dropped in Britain and France, and French specialists asked explorers to remain at home. Paris region hit 41.6 degrees Celsius (106.9 degrees Fahrenheit), beating the record of 40.4 C (104.8 F) set in 1947. Experts said the temperature was all the while ascending, because of hot, dry air originating from northern Africa that is caught between cool stormy frameworks.
Will artificial intelligence fix this greatest threat facing humanity since its seen as a magical fix-all? How can AI help fight climate change?

1. AI will help invent new energy production materials. Scientists are researching new ways to harvest, store and use clean energy more in our efficiently. It is slow and imprecise discovering and inventing these new methods. AI Technology can accelerate these processes by discovering, evaluating and designing new chemical structures that have desired properties. This will help create solar panels that can harness sunlight energy or identify ways that will create more reduce releasing more carbon dioxide.
2. Afforestation. Global green-house effects are contributed by cutting down trees. Computer vision and satellite image caption help to study the loss of forest at a much greater scale. Sensors with great algorithms help detect illegal activities and stop them.
3. Predicting how much more electricity needed. Some algorithms calculate, forecast energy demands based on weather behavior and environmental behavior.
4. Improve Agriculture. Our agribusiness is commanded by monoculture, the act of delivering a solitary harvest on an enormous piece of land. This methodology makes it simpler for farmers to deal with their fields with tractors and other essential computerized instruments, yet it additionally strips the dirt of supplements and decreases its profitability. Subsequently, numerous farmers depend vigorously on nitrogen-based manures, which can change over into nitrous oxide, an ozone harming substance multiple times more intense than carbon dioxide. Robots keep running on AI programming could enable ranchers to deal with a blend of yields all the more adequately at scale, while calculations could enable farmers to foresee what harvests to plant while, recovering the strength of their territory and lessening the requirement for composts.

AI, similar to all innovation, does not generally make the world a superior spot – yet it can. It can empower remote detecting and programmed observing, like detecting calamities and weather patterns which will help in planning for any hazardous disasters.

Can you think of a company that knows us better than we know ourselves? Imagine your wife is pregnant and Amazon sends her gifts for your baby and surprisingly the company knows even the gender of the child and no one has told them.

Amazon, is known to collect and store a lot of data. The company was founded by Jeff Bezos using his philosophy of “lament minimization system”, which portrayed his endeavors to battle off any second thoughts for not taking an interest sooner in the Internet business blast during that time. In 1994, Bezos left his work as VP of D. E. Shaw and Co., a Wall Street firm, and moved to Seattle, Washington, where he started to chip away at a marketable strategy for what might progress toward becoming Amazon.com.

On July 5, 1994, Bezos at first consolidated the organization in Washington State with the name Cadabra. He later changed the name to Amazon.com. a couple of months after the fact, a legal advisor misheard its unique name as “cadaver”.In its initial days, the organization has worked out of the carport of Bezos’ home on Northeast 28th Street in Bellevue, Washington. In September 1994, Bezos bought relentless.com and quickly viewed as naming his online store Relentless, however companions disclosed and advised him the name sounded somewhat evil. He chose the name Amazon by glancing through the dictionary since it was a spot that was “fascinating and extraordinary”, similarly as he had imagined for his Internet venture.

It started as a bookstore, which later moved to the online bookstore in July 1995. It is services were all over the 50 states and over 45 countries. His parents helped him by investing almost $250,000 in his start-up.
Todays Amazon is more advanced. It’s a company fulfilling new technology dreams such as robotic machines, space travel systems that deliver customer orders and services in the most efficient way possible.

Amazon, Google, Facebook, Microsoft, and Apple are taking advantage of this error of big data to advance their service, research and invent new ideas applying Artificial Intelligence. Amazon is at the cutting edge of the extreme change in this big data age that we’re encountering right now. Amazon simply researches the commercial center, making it probably the biggest market on the planet.

They have invented a hybrid aircraft drone called Amazon Prime Air. Its future conveyance robot drone from Amazon intended to securely get packages to clients in 30 minutes or less utilizing unmanned airborne vehicles, additionally called automatons. Prime Air can improve the administrations we as of now give to a huge number of clients by giving quick bundle conveyance that will likewise build the general security and effectiveness of the transportation framework.

The new hybrid aircraft utilizes a blend of thermal cameras, profundity cameras, and sonar to identify risks. With the assistance of AI models, installed PCs can naturally recognize snags and navigate around them.

Even though the drones are being tried as an approach to deliver organs and blood to remote areas, this mode of delivery still appears a far off thought. It is indistinct how such dependably robot could explore, or how they will escape from hitting things on the off chance that they experience a glitch. What’s more, it would be a major risk for an independent robot aircraft out there with expensive or valuable goods trying to figure out where to land.

Amazon is chipping away at these issues, however. The VP of Amazon Gur Kimchi explained in an interview that these robot aircraft incorporates a vision and a navigation system that lets it spot and avoid any obstruction.

We just have to sit back and watch where this thing of machine learning and artificial intelligence will shape the future of how we order, deliver and consume our daily products.