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ARTIFICIAL INTELLIGENCE FOR COVID-19 MANAGEMENT AT SCHOOLS

Artificial intelligence technologies facilitate the safe re-opening of schools by surveilling the transmission of COVID-19. AI systems, machine learning and automation play an important role in the detection, school-level screening and monitoring of COVID 19 significantly reducing the burden of school staff, while predicting potential COVID-19 outbreaks on a scalable level. While the world continues to grapple with the unprecedented challenges caused by the COVID-19 pandemic, AI systems have become crucial in mitigating the spread of such communicable illnesses and ensuring control. How does it do it? By incorporating machine learning algorithms to spot patterns in large-scale data sets.

The application of AI Technology in managing COVID-19 at schools can be categorized into three:

  1. COVID-19 Surveillance
  2. Child Recovery
  3. School Response

AI in COVID-19 Surveillance at Schools

School districts began using AI-powered covid-19 trackers at schools to counter the COVID-19 epidemic. Prior to the epidemic, schools relied on AI-enabled systems to increase campus security, track visitors, uncover weapons or fight truancy. With the pandemic, schools have been evaluating how they can leverage this technology to keep schools safe and ensure children’s continued learning.

With AI-enabled COVID-19 tracking, schools can conduct remote monitoring, thermal imaging, contact tracing and much more – ensuring safety in the school environment.

Remote Monitoring

AI-based software can locate students on school campuses based on their appearance, gender, clothing, and facial features. The software allows school administrators to find students and determine where they may have been on campus. It analyses physical characteristics such as age, gender, hair color, and hair type. The software analyzes the characteristics and searches for matches in other video footage. The software cannot identify the person but can show where they may have been while in the school.


Thermal Imaging

Thermal imaging cameras are a powerful tool in school safety management when it comes to detecting body temperatures. For example, using heat-detecting systems makes it possible to see if a student, faculty member, or visitor to the school is exhibiting signs of illness.

Contact Tracing

An AI (artificial intelligence)-based location positioning system that was being piloted in schools for emergencies is now a viable option for businesses, schools and other entities for contact tracing and emergency communication. The technology works via a mesh network set up in a building or classrooms, and staffs or students can be tracked by fobs, such as the badges that staffs and students often have now. The students or staffs enter the geo-fencing zone, and both direct and indirect tracing can be done if an outbreak of coronavirus needs to be tracked.

How AI can help in child’s recovery after COVID-19

Students will require tailored, ongoing support to help them adjust and catch up after the pandemic. AI-enabled offerings can support schools in becoming prepared to extend the support required to overcome the immense challenges ahead.

Calculating Risk in Exposed Child

Most children who are exposed to COVID-19 experience only mild symptoms. Some children may develop MIS-C; a severe, sometimes fatal, inflammation of the tissues and organs, including the brain, heart, lungs, and kidneys. The NICHD-led project, Predicting Viral-Associated Inflammatory Disease Severity in Children with Laboratory Diagnostics and Artificial Intelligence (PreVAIL kIds), is part of NIH’s Rapid Acceleration of Diagnostics (RADx) initiative. The RADx initiative aims to accelerate innovation in the commercialization, development, and implementation of the COVID-19 test. This initiative will complement the many efforts of NIH to combat COVID-19 further and to understand it using innovative tools. The organization recently established the Medical Imaging and Data Resource Center (MIDRC). It will make use of artificial intelligence and medical imagery to improve COVID-19 treatment and detection.

Tracking Contagion in Real-Time

Many organizations use real-time tracking successfully today because of the visibility into an asset’s precise, real-time location. For example, this AI-backed technology can be used by schools to track visitors, students and staff, and be used to track valued assets like smart boards, TVs, projectors, laptops, and more.

Managing Quarantined Child

Many students will most likely spend a part of their learning time in quarantine, taking courses or learning new skills. Being in this new situation, students may have a lot of questions, which could overwhelm institutions with inquiries. In this context, using an AI-enabled system has two main advantages. First, they can answer your questions instantly and automatically. Second, if your question is too complicated to be answered online, you can quickly transfer the conversation to a human agent who can access the platform via the cloud. This will allow administrative staff and teachers to work remotely and adhere to the quarantine.

School Response Management Using AI

Modernized K-12 education is essential to prepare students for an increasingly automated future. This is especially true as students return to school in the coming year. COVID-19 allows students to learn online, in person and in pods made up of children whose parents have the means to hire teachers.

Health Planning and Preparation

COVID19 was a catalyst for many schools to begin the discussion about a digital strategy. Some schools were already on the right track, and others had to get there quickly. Now, as schools increasingly adopt AI-powered solutions, they will have better data on student health statuses. This will enable them to foresee a possible health-related emergency and take necessary steps to prevent it. In the case of COVID 19, continuous tracking and monitoring of students will help educators and school health officials take precautionary measures in case of an outbreak and ensure the school and everyone in it is safe.

Surveillance Technology

Parents trust schools with children’s well-being. But unfortunately, schools cannot monitor each student individually to adhere to safety and hygiene standards. Smart School Administration System (SSAS) is a system that uses an AI framework, machine learning, IoT and computer vision to improve security and hygiene at schools. SSAS allows school administrators to connect all their devices (cameras, machines, fleets, property facilities and fleets); networks; people to sensors and controls to gather the necessary data to make the system work. The system can intelligently feed data into ML algorithms to draw intelligent insight and trigger an alarm on a possible device before an event occurs.

Automated Service Systems

Automated service systems can monitor students and the system’s automation can also optimize the cost substantially by repurposing/limiting the number of security guards required at various points within the school premises. The schools have an already-established record of who has accessed their school premises using issued ID cards. This data can easily be used to improve the system. To minimize exposure, restricted access could also be added to this system. This system will have many benefits, including getting school students back on-premises after COVID 19, automating school systems to optimize school cost and resources, preventing crime within school premises, and reducing stress among parents, leading to better health and productivity.

Schools are currently on the lookout for automated data-driven solutions to improve the accuracy of operations like contact tracing, mask detection, and occupancy management. These too are some of the several use cases of AI technology in schools. Leveraging this technology, the school management can ensure they’re giving their best shot at welcoming back students into a healthy and safe environment.

AI in Web Development: Everything You Need to Know

Artificial Intelligence (AI) has become one of the most advantageous fields in the past few years. Regardless of the disturbance 2020 has caused, the opportunities provided by AI show no sign of losing their pace. AI and web development projects are no longer science fiction and are already approved by public and private organizations all around the globe.

People are a long way away from the imaginary thought that AI robots are coming for humans. But the truth is that humans rely a lot on artificial intelligence with its growth as a society. Organizations are using best free AI website builder to build stunning website in less time and price. AI is one step closer towards developing and investing more technological discoveries by implementing the logic and intelligence of humans. The algorithms of artificial intelligence and deep machine learning mechanisms are looking out for ways to make routine activities comfortable.

The advancements and innovation in technology have brought complex but sophisticated new sources called sci-fi technology into reality. Artificial intelligence in web applications has entered every field like healthcare, blockchain, banking, education, and many more. The great way artificial intelligence is providing its activity in the past few years is through web development. For further guidance, you can contact a top CMS development company to be of great help.

What Is Artificial Intelligence?

You must have heard so much about AI and web development projects that now you have been excited to know what AI is and how to implement AI in websites?

Artificial Intelligence in web development is simply an act of programming computers and devices made to decide and carry out actions that humans do. Operations like planning, learning, solving issues, voice recognition, and many more. In simple words, AI can have a machine and a computer to learn and think, a field of integrated knowledge to make computers intelligent.

Voice search, smartphones, autopilot, home cleaning robots, all of these activities are AI. All of them have the efficiency of any action being facilitated a hundred times. Software development services include various steps where the data is transferred to a machine that would be more productive, and that is made possible because of AI.

Role of Artificial Intelligence in Web Development

When we talk about AI and web development projects, the platform provides uses with lots of advantages. The AI development companies learn to embrace innovative technologies that influence all the solutions. These solutions involve integration testing and security issues. The tools that AI is inclined to use are nothing but a bunch of jargon for developers. Thus, if you are thinking of using Artificial intelligence in web development from scratch, reach many organizations.

Thus, big tech giants like Google and Facebook have introduced AI tool kits that provide ready-made plugins if you want to adopt AI web development. These machine learning and natural learning process are to be attributed in web applications. It has made it possible for small-scale businesses to incorporate AI in web applications. Nowadays, developers do not require any codes in AI language to get benefitted from the technology. Rather they word with tools and API that they are already known with. These are some of the ways where the role of Artificial in web development has benefitted the developers:

  • It helps to search faster.
  • It provides a relevant, enhanced user experience and interaction.
  • It also offers productive digital marketing activities to target new customers.
  • It permits the system to modify over time and then adapt to the user habits and change the general mistakes.
  • The role of AI web development has helped web store owners with a personalized experience.

Artificial Intelligence in Web Development

Nowadays, possessing a website is compulsory for all the business fields in the market. Hence, artificial intelligence plays a crucial role in reshaping web design and development. As per the Statista report, the revenue generation from Artificial Intelligence is expected to reach $126 billion by 2025. From healthcare, manufacturing, hotels to every digital service, artificial intelligence has its stakes everywhere in the market. It is because the various web and mobile app development companies have started building AI-enabled sites.

Conclusion

Undoubtedly, AI is transforming with each passing year. And if we look into the positive aspects of using Artificial intelligence in web development, it is pretty apparent that it would bring the best from the tools used. This is why CMS development companies are using the power of AI to develop intelligent web applications.

In the coming future, it is believed that AI will control all the innovations shortly. By enhancing the user experience and allowing the users to build web applications at a faster pace. Thus before you hire your AI developers, you need to ensure that the development requires authentic and consumer concentric.

We hope that this article would have provided you with a piece of brief information and data related to AI and web development projects.

The role of artificial intelligence in hyper automation

Within the last decades, we’ve not ceased wondering if technology could replace people. Time for the matter of the gap between both automation and hyper automation, the solution is simple: hyper automation creates the procedure for finishing automation more technical, controlled and intelligent from artificial intelligence based robots.

It isn’t nearly completing actions, but also regarding optimizing the very best strategies to have these done. To try it, it’s critical to assess the company capacities and the degree of digitization before needs to create an AI based automation system utilizing a variety of technologies. Since hype automation is determined by the ideal blend of distinct applications utilizing artificial intelligence, it’s suggested for any firm to spot a pair of startup resources which may be invested directly into start construction hype automated procedures within the provider.

As practice shows, these tools must be long to exactly the exact same system and readily socialize with each other as a way to guarantee maximum efficacy and smooth functioning from one. But perhaps more important is focusing on how employees think about implementing new AI powered procedures.

Before embarking on hype automation, then it’s crucial to give a supportive environment and educate and show employees the way these new technologies can enhance the standard of their job and also enhance the overall efficacy of performing regular tasks. It’s ideal to begin the interior examination and also the slow implementation process to day.

How Can Artificial Intelligence Change Remote Work?

Artificial Intelligence changed the whole meaning of technology, something that eased human work up to the extent that humans don’t even need to interfere. Machines can do things like driving a car, doing home chores, maintaining data and human resources without human interference. Artificial Intelligence is truly a gift that is considering going to change our lives for good and take us to the point of technological advancement.

Before we go any further, I would like to give a small definition of AI.

Artificial Intelligence is a field that focuses on building highly intelligent systems and machines that can work in place of humans or work to minimize human interference and exhibits Intelligence just like humans.  

Artificial Intelligence has been beneficial in technological advancement and helped humans do things that were impossible to do earlier. And even now, in the time of this COVID-19 pandemic, Artificial Intelligence is helping us do some things that we never thought we would be able to pull off.

The COVID-19 Pandemic has shown us that remote work is no longer a luxury anymore; it’s the need of the hour. All companies out there are adopting “Work From Home” and making their employees work remotely. While this shift is taking place, don’t you think it would be very challenging to supervise the work, schedule the tasks to respective teams, and manage resources and productivity? Actually, No! Artificial Intelligence can help us layout effective solutions to manage remote workplace strategies and improve work efficiency.

Already, we can see organizations mass adopting numerous Artificial Intelligence-based tools for various purposes. From automation to boosting efficiency and convenience, let us look at five ways Artificial Intelligence is helping remote workers.

 1) Team Collaboration

Whenever we talk about remote work, we inevitably think that communication between the team would be hindered.

According to various reports, last year, most of the employees worked around the clock and were logged in for extra hours.

The personal life of employees was getting affected because of professional life. On top of that, employers had no idea of what’s happening in their teams.

But thanks to AI-based tools, communication, and collaboration between the team working from home or remotely aren’t challenging anymore. There are various AI-based tools that help both employers and employees take account of their time, work, and efficiency on a daily basis.

With the help of various AI-based tools, any number of team members can connect at the same time to communicate their ideas, solutions, or anything related to work.

2) Making Meetings More Productive

Well, we can’t deny that meetings are always boring, be it an online meeting or an offline one. But if you think from a different perspective, you would realize that online meetings (done via AI-based tools) are much more interactive, effective, and productive than offline ones. AI tools provide you with insight that is usually not possible during an in-person meeting.

Getting information like how many people actually attended the meeting, how active they were during the meeting, and how much time they were attentive to the topic. Along with that, you can automatically record the meetings, capture and present relevant information or resources, i.e., videos, weblinks, and documents. All these facilities help save time, increase team productivity, and keep real-time track of everything that’s going on in the meeting.

Related-  Artificial Intelligence – “Smarter Than Humanly Possible”

3) Back-Office Tasks

Artificial Intelligence-powered tools can help organizations to free up their people to do more creative, less operational work.

Operational and administrative teams working remotely usually have to take up out-of-office work and go out there to do things like maintaining company records, data, or basic administrative tasks.

Artificial Intelligence systems can easily automate repetitive tasks so that the employees can focus on critical tasks.

Advanced Artificial Intelligence helps admin teams to automate all the repetitive work and helps everyone achieve efficiency, productivity, and more creative power.

Working professionals have many important tasks which can possibly be done without human interference, such as Emailing clients, scheduling meetings and calls, and maintaining databases. Nowadays, Artificial Intelligence holds power to create such tools to do the given tasks and help remote professionals. For example, Google Assistant, Alexa & Siri can arrange meetings, manage data on user’s demand, and literally do everything mentioned a few lines ago.

Technology is expanding at a tremendous rate that people can stay connected to their employers and work without any hassles from anywhere they want.

4) Easy troubleshooting

Remote workers often have various issues related to their systems and tools, and without access to immediate IT support, either their work gets stuck, or they have to find solutions themselves—and this is a big hurdle for their productivity. If you look at it, most work-from-home problems are related to techs, such as faulty software programs, unreliable internet connections, or maybe some issue with their device itself.

With the help of Artificial Intelligence, people can solve most of these technical problems on their own. To name such an AI-based tool, there is a real-time AI bot (by Wipro HOLMES) that can answer your queries and guide you on solving the issue or troubleshooting the system or tool. As companies now understand the benefits of letting their employees work remotely and home and office gradually merging together, technology will continue to advance and adapt to these new work systems. Although remote work is a challenge for many people right now, these AI-based tools undoubtedly make our lives a lot easier.

5) Real-time engagement feedback

Did you know employees working remotely are more likely to leave a company than the ones who are working from the office? But why? The reason is simple: engagement! When your employees work from home, they aren’t connected to you or your company’s culture. On top of it, you never know what they are thinking about the company, what are their primary concerns and feedback.

Without having proper engagement and fun activities with employees, it can be easy for motivation to plummet.

Working continuously from home can undoubtedly make the employees feel disconnected from workmates, leading to disengagement and even stress, anxiety, and ill-health.

Fortunately, several new Artificial Intelligence-powered tools can help mitigate these problems up to an extent. These tools rely on NLP and sentiment analysis to reveal employee morale and activeness.

Artificial Intelligence systems can provide effective means of measuring employee well-being and engagement by doing sentiment and interaction analysis, highlighting where employees need help.

Such advanced tools can be really useful for companies that aim to understand and optimize their human resources. These AI systems can even suggest support resources and activities to help to make things better.

Elin is another tool that uses more than 140 markers to arm management with real-time feedback of their human resource.

Though privacy remains a major concern in using these tools, these tools still seem promising to help companies bridge the gap to a remote workforce.

6) Developing skills

The skill gap is not a new issue, it has always been there, and it’s definitely going to increase as we shift towards working remotely. Many experts from the Artificial Intelligence field believe that Artificial Intelligence can help tackle these issues and nurture skill sets. There are tons of tools in the market which use Artificial Intelligence to keep track of an individual’s knowledge level and help them advance their skills with proper guidance.

More and more cloud-based learning systems are coming into the picture, which helps their users learn right from their homes and even lets them analyze their current level.

7) Overcoming The Drawbacks of Remote Work

Following the various perks of Work From Home, it’s inevitable that more organizations will embrace WFH at a much faster rate. However, in reality, it’s not ideal for everyone. Some employees cannot contentedly work from home due to having a confined shared living space and always remain unsatisfied because they cannot join offices and subsequently find it difficult to become productive. But if from a layman’s perspective, remote work can significantly benefit both organizations and employees.

But to tackle the issue employees face, businesses are working to craft sustainable Work From Home tools to manage productivity and delegate tasks effectively from afar.

Conclusion

There is no doubt that the developments in Artificial Intelligence have proved to solve almost every issue we face, especially when it is concerned with increasing efficiency, productivity, and decreasing human interference. Working from home or remotely is the new normal in this pandemic. Even if you take this pandemic out of the picture, you will realize that working from home has proven beneficial for both employees and employers. This way, employers were able to reduce their operational costs while the employees could work in a free environment.

COVID-19 has made remote work an essential choice in aiding the protection of employees. This, in turn, is helping Artificial Intelligence experts to learn and research more about the potential AI holds in easing the work for humans. These new developments could lead to more opportunities and opening the doors for full-time remote work. And Artificial Intelligence can easily be deployed in regular organizational activities and turn things around on a brighter side.

Author Bio :

Ram Tavva, Senior Data Scientist and Alumnus of IIM- C (Indian Institute of Management – Kolkata) with over 25 years of professional experience Specialized in Data Science, Artificial Intelligence, and Machine Learning.

PMP Certified

ITIL Expert certified APMG, PEOPLECERT and EXIN Accredited Trainer for all modules of ITIL till Expert Trained over 3000+ professionals across the globe Currently authoring a book on ITIL “ITIL MADE EASY”.

Conducted myriad Project management and ITIL Process consulting engagements in various organizations. Performed maturity assessment, gap analysis and Project management process definition and end to end implementation of Project management best practices

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What are the Different Types of Artificial Intelligence?

What is Artificial Intelligence?

Artificial Intelligence is a vast branch of computer science that focuses on building machines with human-like intelligence.  AI, at its core, aims to help machines replicate human intelligence. Algorithms backed by artificial intelligence are designed to make decisions based on real-time data. Unlike machines that act in a predetermined manner, AI-backed machines collect and use inputs from various sources and analyze them to determine the appropriate response.

Artificial Intelligence can be characterized by its ability to learn and make decisions in an adaptive manner. This technology is all about modifying decisions as per the conditions or circumstances. It incorporates changes algorithmically and makes decisions when faced with new possibilities.

What are the branches of Artificial Intelligence?

 The main three branches of Artificial intelligence are:

  1. Machine Learning:Machine learning is one of the most demanding fields in the tech industry. Machine Learning is what gives devices the ability to learn and adapt to new information or conditions without any prior programming. It is the science that allows machines to interpret excuse and examine data for solving problems in real-time. Self-driving cars, recommendation engines, malware filtering, image and speech recognition are some of the applications driven by machine learning. The machine learning algorithm is advanced in terms of recognizing patterns from the existing data and predicting the outcomes accurately with the need for an explicit program.

Robotics: Robotics is a field that combines computer science, mechanical engineering, and software engineering. It forces on designing, developing, and operating robots to perform certain tasks they were produced for. These robots are often built to perform tedious tasks that can be laborious for human beings to perform accurately and uniformly. While a robot is an intelligent body, AI creates a system for it to perform these tasks in a way that is similar to a human performing them.

 

Natural Language Processing: Machines do not speak the human language and our words and phrases will not be understandable for computers as they only understand code. Natural language processing is an AI-backed technology that allows machines to read, decode and make sense of normal human interaction. These Natural Language Processing systems record human commands and turn them into texts and then later into components to understand the intent of the person and the context. Then processing systems help machines determine what needs to be executed based on the interpreted command.

 Types of Artificial Intelligence:

 Artificial intelligence can be categorized based on its capabilities and functionalities.

There are three types of Artificial intelligence that fall under the Capabilities criteria:

  1. Narrow Artificial Intelligence:Also known as weak Artificial Intelligence, Narrow AI concentrates on a single task and its performance is narrowed down to that task. It basically targets one spectrum of cognitive abilities and specialties in them. This type of Artificial intelligence is quite common and can be seen in deep learning and machine learning.  Google translate, page ranking algorithms of search engines, spam filtering within email providers, and Apple’s Siri are all examples of Narrow AI. Narrow AI systems tend to excel in certain domains and outperform human beings, however, when faced with conditions outside their range of understanding these systems fail as they cannot shift their knowledge from one area to another. It is great for developing applications that need to operate in predictable environments and where the rules are fixed.

 

  1. General Artificial Intelligence:Referred to as strong Artificial Intelligence, General Artificial Intelligence as opposed to Narrow AI has a wider scope as it can learn and perform any intellectual task just like human beings. This type of Artificial Intelligence enables machines to use their knowledge in a variety of conditions. Even now, researchers and specialists have not been able to develop strong AI.  In theory, it is the next level of artificial intelligence and many fear that strong AI is a threat to human jobs. Strong AI is characterized by its ability to reason, make quick and accurate judgments, communicate, solve problems and puzzles, and plan.  Theorists have argued that Strong AI will be able to go through a development process like human beings, beginning with childlike thinking and ending up developing an adult mind through learning. Another school of thought is that we may not realize when Strong AI has been developed as experts have not yet agreed on what constitutes intelligence.

 

  1. Super Artificial Intelligence:Today, Artificial Intelligence is a means to help machines understand and replicate human intelligence while performing certain tasks. However, in the future, many speculate the AI will possess abilities that are far more superior to human intelligence. Super Artificial intelligence just like General Artificial Intelligence is non-existent. It believed that Super AI will be able to surpass human intelligence and perform tasks more efficiently than any person can. It is an evolved version of Strong AI, that can understand and go through human emotions and experiences. Just like a person, Super AI systems will have their own needs, feelings, beliefs, and desires. This type of AI can make its own decisions with no human intervention at all. It has been hypothesized that even the most intelligent human minds cannot compete with the capabilities of super Artificial Intelligence. The potential of Super AI systems seems appealing, however, the consequences of this concept are unknown and can be dangerous to mankind.

In addition to these, there are four more types of Artificial Intelligence under the Functionalities criteria:

  1. Reactive Machine: Reactive machines are the simplest types of Artificial Intelligence systems that view the world directly and just react to what it observes. These machines do not store any past data or use memory and are purely reactive. These machines cannot utilize their past decisions to make future decisions. Reactive machines have a specific task and cannot work on anything beyond those tasks. The best example of Reactive machines in IBM’s Deep blue that observed the pieces on the chessboard and reacts to them. Deep Blue could defeat chess grandmaster Kasparov. It was only capable of reacting to chess moves and only acts based on the present components. The main characteristic of reactive machines is that no matter how the conditions are, these machines will only act in the way they were programmed, they do not learn and grow over time.

 

  1. Limited Memory: Limited memory is just like the machine learning model that derives data from past experiences, and stores information to make decisions in the present scenario. Limited memory learns and grows with experiential knowledge. These systems can store and use data for a limited time period and once they perform the task they cannot store it in a library of their previous experiences. Self-driving cars utilize this limited memory, they keep storing data on the speed limit, speed of other cars, and maps to navigate the roads, but nothing more than that. In simple words, limited memory AI systems have a short-lived memory even though they can use their past data, unlike reactive systems.

 

  1. Theory of Mind:Theory of Mind AI systems have a similar decision-making ability to human beings. Today, voice assistants like Siri, Alexa, and Google Assistant showcase some human-like abilities and follow commands accurately, however they cannot converse like normal human beings.  Human interactions are mostly social interactions with thoughts and emotions. It is believed that theory of mind AI systems will be able to find, understand and store emotional responses of human beings and will be able to react appropriately. This is an advanced type of Artificial Intelligence that can recognize the rapid emotional and behavioral shifts in people and learn them quickly. Robots like Kismet and Sophia developed in the years 2000 and 2016 respectively, are the perfect examples of theory of mind AI. Developed by Professor Cynthia Breazeal, Kismet, can mimic emotions in terms of human facial expressions, and the humanoid bot Sophia developed by Hanson Robots is physically built like a human being, and her image recognition capabilities help her respond to humans with the right facial expressions.

  

  1. Self-Awareness:Self-awareness AI only exists in theory and an imaginary world. These systems will understand internal human traits, conditions, states, and emotions. These machines will be able to perform better than the human mind and will evoke emotions within those it interacts with. They are the ultimate AI development goal. These theories are still being questioned by scientists on whether these AI systems will be as self-aware and conscious as a person.

Differentiating between types of AI helps in understanding what this technology can do. If it’s just good at particular behavior, it’s a narrow or poor AI. If it works in any situation at the same level as a human, it’s a General or Strong AI. And, if it functions well beyond the potential that any person might hope for, it is artificial superintelligence.

In recent years, the ability of AI systems to integrate intentionality, intellect, and adaptability into their algorithms has seen extraordinary advances. AI systems studies the environment as it moves along and integrates a holistic view in its decisions. It improves human efficiency in this way and increases the capacities of people, instead of threatening them as per many doomsday theorists.