Posts for Artificial Intelligence Category

Though Industry 4.0 pans out beyond Artificial Intelligence, the majority of the changes begin with AI and AI-assisted technology.
Artificial Intelligence

Artificial Intelligence – The driving force of Industry 4.0

A standing proof that Industry 4.0 is driven by contribution from Artificial Intelligence (AI)


While the focus on Industry 4.0 is primarily based on sensors, data connectivity, cameras, etc., Artificial Intelligence is the cornerstone of this revolution. Any process involving human-machine interaction is enhanced by AI. Automation may amount to the majority of AI processes, but it contributes much more to the smart factory systems. They improve efficiency and assist maintain a better supply chain. The significance of AI also helps industries strategically plan their investments in implementing and adapting to Industry 4.0. Machine learning predominantly contributes to AI involvement in industries. Below is a small assessment on how AI has been contributing to Industry 4.0 since the beginning, acting as the driving force of the revolution.

Before Industry 4.0

Industry 3.0 was the beginning of using machines to replace human labor. The use of robots and Programmable Logic Controllers proved to be the beginning of automation. However, they required human intervention for maintenance and operations and weren’t fully autonomous. Industry 4.0 became an extension of this in making these machines more efficient and reliable without human intervention.

It is now clearly understood that Artificial Intelligence has been a part of the industrial revolution much before Industry 4.0. This phase began with making these AI better and more efficient. Collaborations with data collection, sensors, connectivity, live data updates, feature engineering, machine learning, cyber-physical systems, to name a few, have resulted in what is now viewed as a whole revolution. The recent trend is AIoT which is the combined application of Artificial Intelligence and the Internet of Things.

How AI Has Enhanced The Processes In Industry 4.0?

What seemed to be the problems at the end of Industry 3.0 were resolved to mark the beginning of Industry 4.0. It is evident that AI has been the major contributor to this transition. Though Industry 4.0 pans out beyond Artificial Intelligence, the majority of the changes begin with AI and AI-assisted technology.

1. Predictive Maintenance

Machine learning has been the most sought-after feature of AI in industries. Instead of waiting for specific schedules for maintenance, the machines themselves predict issues and maintenance schedules using algorithms, resulting in uninterrupted and cost-efficient production. A longer Remaining Useful Life (RUL) of machines and the requirement of small labor to take care of them is the major take away.

2. Quality

More and more complicated systems are in use today and this requires the utmost consistency in quality. Any manager in an industry would deem quality as the top priority to maintain and increase customer base. As already mentioned, machine learning contributes to quality checks and alerts in the smallest drop of quality with its algorithm and simultaneously collecting this data for future operations, product development and important business decisions.

3. Robots For Human Safety

In a factory environment, human-robot collaboration has been the norm. AI will play a major role in ensuring the safety of human workers and holding more responsibility in major decision making based on data collected on the production floor.

4. Generative Design

The collected data can be used in the development of other products using the AI algorithm. This can include aspects like materials, production methods, time constraints, and budget limitations. This ensures a better testing phase with higher possibilities of the product being approved as most of the issues are dealt with in the design phase itself.

5. Supply Chain

AI is not only a part of the production floor. It also contributes data to study the market and identify demand patterns under various circumstances including political situations, date, location, economic behavior, etc. This helps the organizations to optimize manufacturing units based on the prediction and act on real-time data provided by the AI.

While Industry 4.0 is considered as the enhancement of what the industries saw in the previous revolution, the introduction of smart factories has only meant that the skills of human labor should be increased to focus on higher levels while the machines take care of the basic and vital issues. Read more on 4 compulsive advantages of Industry 4.0

Written by Jayashree in September 26, 2019
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A look at the highly influential areas of technology like artificial intelligence for governments. Right investments and applications, will augment rather than replace human resources.
Artificial Intelligence, Technology

Why Should Governments Invest In Futuristic Technologies Like AI?

A look at the highly influential areas of technology like Artificial Intelligence, which the governments gain on.


Throughout the years, technology has played its part in shaping the modern digital world. With dependence on technology becoming more of a need, one must agree that it is only in the recent past that the government investment in futuristic technology has come on par with private investors. What makes it crucial for the governments to step in rather than watch the private sector take over the arena? What difference does it make compared to the technological advances the world has seen so far?

Upskilling The Workers Towards Artificial Intelligence

As technology takes over, workers in different sectors should be upskilled rather than simply complaining that humans are losing jobs to technological advancements. There will be jobs created by technology like AI, which would require more than normal skills found today. The finance sector is the best example of this today. AI is already assisting financial officers in augmenting financial planning and enhance investment strategy. Being a relatively conservative area, AI is used to track data-driven investments enhancing business modules. They are also used to prevent fraud, create better security mechanisms and track culprits based on their activities and so on.

An All-round Influence By Technology

Investing in futuristic technologies not only helps in better returns but also improve every field they are used in. For instance, robotic surgeries are far more accurate and precise than human surgeons; better infrastructure planning, citizen response systems to address their issues instantly and directly, defining policy requirements based on data collected, etc. are some of the areas where the governments are already using technology. While increasing their chances to retain power, technology also means immediate government regulations based on what algorithms indicate. Influential technologies like AI cannot be sent back to the start. They need to be used constructively like having a more open government, assisting in smart citizenship, resulting in a good balance between democracy and technocracy.

Industrialization of AI

A study suggests that about $15.7 trillion will be added to the global economy by 2023, thanks to AI, out of which North America alone will be responsible for 14.5% of the boost. With giants like the US and Canada spending actively on AI, such a massive impact can be achieved with the industrialization of Artificial Intelligence. As already seen, the wide range of applications and influences in various industries results in a constant state of innovation.

Growth becomes inevitable with innovation, especially in fields like agriculture, labor markets, energy management, etc. This is already in progress with the governments investing highly in researches and working closely with Universities to use fresh minds for development and innovation.

Right investments and applications will augment rather than replace human resources. Citizens are in touch with the most advanced technology as soon as they see the light of the world. Time is not in the governments’ favor. Hence, it is ideal that they start investing in these technologies today rather than watch the private sector make use of the gap and influence the people in their own ways. The government also could prove to be the point of control in not letting technology influence people in a bad way.

Most of the developed nations like Canada are focusing on technology as a driving force for a global society instead of simply looking at a national gain. A quick brief on the AI scene in Canada. In return, one can also say that globalization has impacted the perspectives of countries investing in futuristic technology.

Written by Jayashree in July 25, 2019
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While all the first world countries compete to assert dominance in the AI global scene, one cannot help but notice Canada crawling to the top with ease, becoming the top country for AI investments and developments.
Artificial Intelligence

The AI Scene In Canada: A Quick Brief

From problem-solving to contributing to an easier lifestyle, Artificial Intelligence is here to stay. While all the first world countries compete to assert dominance in the AI global scene, one cannot help but notice Canada crawling to the top with ease, becoming the top country for AI investments and developments. Canada used to be a businessmen’s secret until a few years ago. With the current government investing extensively in businesses to make a mark in the global scene, AI became their best bet to announce global dominance.

Inclusivity To Encourage Participation

The 32nd Canadian AI conference happened in May 2019. This event saw participation from hundreds of experts from the AI industry, research, government and accomplished students from all over the country. Such diverse participation means every dimension of the industry is discussed to propel them forward without much hassle. The Universities of Toronto and Montreal find themselves carrying the roots of Deep Learning, an advanced technique important for the core development of AI. Such major participation from the students ensures a powerful future in the respective field. This wide range of minds involving themselves in the current AI scenario has resulted in Canada having the largest ecosystem in AI.

Investment In Artificial Intelligence R&D

Only one company found itself among the top 100 AI companies in the world in 2018. However, there is a brighter side to this. Canada has not yet commercialized most of its AI currently, but the investment in research guarantees major innovation and immediate leap to the top in the future while the competitors scramble to stay unique and innovative. It is the only country to have a strategy for AI. More than $125 Million have been invested in Pan-Canadian Artificial Intelligence Strategy by the Canadian Institute for Advanced Research (CIFAR), a governmental organization. Even American supreme powers like Facebook, Uber, Google, etc. have set up core research labs in Canada, most of which have tie-ups with top universities.

Responsible Development and Implementation of AI

Apart from making the whole system as transparent as possible, the Canadian government has introduced Algorithmic Impact Assessment (AIA) to check the ethical and human values of the AIs introduced. By making it applicable to both governmental and private projects, it makes sure nothing escapes the system and warns the developers on any discrepancies. Various aspects like cybersecurity, safety to the environment are taken care of at the grassroots levels, making even the consumers aware of the impact of what they use. This is not a one-time development either. Updates and policy amendments are continuously made with the help of public workshops and online assessments, resolving developing issues then and there.

Startups and AI

Deserving startups working on AI will find themselves being empowered by Canada on the global stage with several technology events calling for the best innovators in the world. This is also assisted by easier and more open supportive processes like providing with Visas and welcoming them into their country with open arms. More than simply working with established organizations, kickstarting new ones makes sure the work is done faster, more economical and the opportunity falling in the right hands. The current government is focusing on creating five “superclusters” across the country for tech investments. Read more on how are innovations in startups contributing to leveraging technology.

It is safer to say that Canada hit the nail on the head by nitpicking unaddressed aspects and unresolved issues right in the beginning, giving them the edge over any other country in the world. With the amount of monetary, time and energy investment in research currently, it would only be appropriate to say that Canada is still one step ahead in the Artificial Intelligence industry.

Written by Jayashree in July 5, 2019
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Every time a new invention takes place, it brings up some kind of trepidation with it. Do we need to be scared of Artificial Intelligence, AI?
Artificial Intelligence

Is Artificial Intelligence (AI) taking over the world?

Artificial Intelligence is training the machines in such a way that it can do tasks that needs a certain degree of intelligence which was supposed to be done by humans. The objective of ai is to make systems function intelligently and independently. AI works in two ways: symbolic based and data-based (machine learning).

Are we worried about AI taking over the world?

“The development of full artificial intelligence could spell the end of the human race. It would take off on its own, and re-design itself at an ever increasing rate. Humans, who are limited by slow biological evolution, couldn’t compete, and would be superseded.”

Stephen Hawking told the BBC.

These are the kinds of doubts that arise when people talk about AI. Questions about AI’s sustainability and safety often come up. So yes, we can certainly say that there are some concerns about AI amongst people. 

What is Machine Learning?

It all started when great mathematician, Alan Turing asked the question Can machines think? changing the scenario of the world in less than a decade. His paper Computing Machinery and Intelligence (1950) established a vision for artificial intelligence.

Later on, Arthur Samuel coined the term Machine Learning in 1959 while at IBM. It had the idea of feeding machines with the data in such a way that machines can learn from data and eventually give better results. It was attempted by using various symbolic methods which were later named Neural Networks. The whole purpose was to make machines intelligent. So that they can understand requests, make amendments and give appropriate conclusions.

There are three types of machine learning algorithms: supervised, unsupervised, reinforcement. There are a variety of models that can make this work. Models such as Artificial Neural Networks, Bayesian Networks, etc.

What is a neural network?

It consists of many small units called neurons. These neurons are arranged in different layers. And these layers are interconnected through weighted connections with a real number. The value of a neuron is multiplied with the weight and bias value is created by adding the weights of a particular neuron. This value is further put into an activated function which gives the value for neurons. This value is further passed to the next layer. This is the functioning of the whole network. Now the real deal behind it is to find the correct weight so as to have a correct assumption or conclusion. There are various machine learning algorithms that can help us perform these analyses.

How is AI changing the world?

AI is a powerful tool which is helping companies to have better strategies. Machines can learn a large amount of data in various dimensions. This is the reason why it can look for lots of high dimensional data and can determine the pattern. Once it learns these patterns it can come up with conclusions or can classify or predict.

In our daily lives, we see various examples of AI. Be it Siri, Alexa or Cortana. Even getting recommendations for the books or smart replies in Gmail or Chatbots.

AI had already become a part of our lives and whether we like to believe or not we have become dependent on it. AI may not replace human interaction. But it would definitely be better customer experience. Know how AI is influencing the development in Canada.

Is AI going to take over the world?

Well, there is no clear answer to this question, all we can do is speculate, but the question we should ask is, do we need to be scared of AI? And the answer to this question is no.

Every time a new invention takes place, it brings up some kind of trepidation with it. The invention of phones made people think, the basic civil conversation would end. The invention of cars made people think it would be killing families. All this is true to an extent. But all these inventions brought to us things that extended the human experience in profound ways.

That is the whole point of developing intelligent machines. Machines that can help humanity do things that are too tiresome and difficult to do at the present mark of time. Fearing a super-intelligent AI makes no sense as it would not be programmed but rather taught, eventually embodying our core values. The AI that we’ll ( and future generations) will work on will be to assist us and not take over us. We must learn from the past and try not to be scared of innovation.

Written by Aradhya Singh in April 16, 2019
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