by Anika D | Sep 5, 2022 | Artificial Intelligence
Artificial Intelligence does not need any formal introduction. It is not only a buzzword; in fact, it has become an important part of your everyday life. Many companies are introducing intelligent machines for the diverse use of AI. So, it is transforming the business sectors a lot. Here you will learn about 7 types of artificial intelligence and its use.
Reactive Machines
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Reactive machines do not store memories; instead, they use past experiences to determine future actions. They are one of the most basic AI systems to perceive the world and respond to what it observes. They have predefined specific tasks, so they do not have any capability beyond those set tasks.
Deep Blue, a reactive machine, is IBM’s supercomputer for chess-playing. It made a breakthrough when it beat grandmaster Garry Kasparov in 1997. Deep Blue did not have any pre-applied data sets. Instead, it simply identifies the chess pieces on the board and chooses the next possible moves.
Limited Memory
Limited memory devices have the capability of reactive machines and can learn from historical data to make correct decisions. Almost all existing applications come under this type of AI. Unfortunately, these systems have short-lived memory. They can use past data for a specific period, but they can not include it in the library.
You can use this kind of technology in image recognition systems. They have thousands of pictures and labels to recognize them. When an image gets scanned by such an AI device, it uses those sets of pictures as references to understand the image contents.
Theory of Mind
The third category of AI is the theory of mind that exists only in concepts. It is also known as internal simulation, which can understand others and put itself in someone else’s shoes. It helps you to know how people’s sentiments and emotions affect their thoughts and behaviors.
One real-world example is Sophia from Hanson Robotics. It is a robot in which a camera is present in its eyes, combined with some algorithms that allow her to see. As a result, Sophia can sustain eye contact, follow faces, and recognize individuals.
Self-Aware AI
Self-aware AI deals with super-intelligent devices through their sentiments, emotions, consciousness, and beliefs. These machines are smarter than humans and can outperform them in various tasks. However, self-aware AI is still a distant reality, but companies are making efforts in this direction.
Artificial Narrow Intelligence (ANI)
This category of artificial intelligence mirrors all existing AI created to date. ANI refers to AI machines performing a specific task independently using human capabilities. These devices can do no more than their set design. Thus, they have a limited range of competencies.
These systems correspond to both reactive and limited memory AI. Even the complex AI that uses deep learning and machine learning to teach itself comes under ANI. The most common example of ANI is Apple Siri. It operates with a pre-defined set of functions. Therefore, it often has problems with operations apart from its abilities.
General AI
General AI, also known as strong AI, can learn and understand any intellectual task that a human can. It helps a machine to use skills and knowledge in different contexts. However, researchers have been unable to achieve strong AI till now. Instead, they have to determine how to make devices conscious by programming a cognitive ability set. Microsoft has invested $1 billion through OpenAI for General AI.
One of the significant attempts to achieve a strong AI is the K computer. It is one of the fastest supercomputers in the world, created by Fujitsu. It takes around 40 minutes to simulate one second of neural activity.
Artificial Super Intelligence (ASI)
Artificial Super Intelligence is a more advanced version in comparison with strong AI. It can copy the multi-faceted intelligence of humans and is better at everything. This system has a design with faster data processing and analysis, better memory, and decision-making capabilities. However, its existence is hypothetical so far.
Wrapping Up
These were 7 types of artificial intelligence and its use. Here you can see the present reality of AI and speculate on some possible future developments. In its current form, AI is a sophisticated predictive analytics engine. However, its future holds great potential.
by Anika D | Aug 2, 2022 | Artificial Intelligence, Information Technology
Have you noticed that your various accounts require multiple identity verification methods when you log in these days? You can no longer access your email, accounting system, or cloud applications by only entering your username and password. Instead, you need to enter a short code you receive on your phone or via email. Sometimes, you can also get verification calls using biometric data or a smart card.
Do you know what this is? It is multi-factor authentication (MFA). It consists of three things that you combine for identity verification. You can summarize MFA as “something you are, something you have, and something you know.” For instance, a combination of tokens, a username, password, or biometrics.
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Setting multiple verification methods may seem like a hassle, but it makes your accounts secure. Below are some reasons to enable MFA:
Secure Incase Passwords Get Stolen
These days password theft is evolving. Cybercriminals’ main methods to steal passwords are keylogging, phishing, and pharming. Keylogging involves secretly recording keys that strike on a keyboard. Phishing consists of fraudulent calls, emails, or SMS that ask for your sensitive information. Pharming includes installing malicious code on the device that redirects users to fraudulent sites.
Any individual or enterprise can easily become a victim of these attacks. But MFA ensures that your identity and accounts remain secure even if your password gets leaked.
MFA Adapts with Change in the Workplace
These days employees work outside the companies. So, with change in the workplace, you need more advanced MFA solutions that manage complex access requests. MFA offers multiple protection layers and evaluates potential risks while looking at the user’s location and device.
For instance, if you log in from your office, you will not get a prompt message for additional security factors. But if you log in from a café using your mobile, you will receive an SMS for verification of another factor.
Reduce the Usage of Unmanaged Devices
These days companies have embraced the remote working concept. So, employees often use personal devices or less secure internet connections. A hacker can easily install password-stealing malware on the device due to a compromised router. When you use MFA, you don’t have to worry about the security of unmanaged devices.
Improve Employee Productivity and Flexibility
Remembering so many passwords can be a huge burden. Therefore, many people use simple code, but that is easy to crack. To avoid this, many companies enforce password policies encouraging employees to set stronger passwords and update them regularly. But a new issue of forgetting the password arises with it.
Forgetting the password means password resetting, and it costs more time. In such cases, MFA allows you to sign in via a single-use code generated by an app or a fingerprint scan.
Stay Compliant
If your company deals with personally identifiable information or finances, state or federal laws may need an MFA security. MFA ensures access to protected health information by only authorized users. So, it allows your firm to remain compliant with HIPAA (the Health Insurance Portability and Accountability Act).
To Sum Up
Multi-Factor Authentication methods are quite inexpensive and easy to deploy. In addition, they provide a simple, effective solution to users and a wider business network. So, ask yourself why you haven’t already adopted this cybersecurity plan and go for it as soon as possible.
by Anika D | Jul 25, 2022 | Artificial Intelligence, Emerging Technology
Artificial Intelligence (AI) plays a significant role in day-to-day life with the advancement in technology. Whether you talk about web searches or the decision to watch a TV show, AI is already everywhere you can think of. Moreover, AI is also revolutionizing workplace safety by bringing great improvements in business processes. Many industries are working with dangerous gasses, chemicals and machines. So, AI can help to reduce accidents and improve job safety in such businesses. Let us find below how AI can help in building a safe workplace:
Human Error Reduction
The main reason behind most workplace injuries is human error. One tiny mistake from you can lead to human lives at risk. Maximum injuries occur due to stress and fatigue in workers. But AI can not make such mistakes because of its never-tiring potency. Moreover, the Machine Learning (ML) model and IoT can accurately identify hazardous places and workers’ fatigue. Then it can alert supervisors about potential dangers in advance.
Better Decision-Making
Nowadays, businesses are adopting different security technologies like cameras, badge readers, IoT facility monitors and many others. It allows them to get data that helps to maintain the workplace secure for workers. Artificial Intelligence identifies data abnormality to support workplace safety. AI also allows companies to process data quickly and identify anomalies.
Automating Dangerous Tasks
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ML and AI make robots more accurate during their production phase. AI can use robots and automation to finish dangerous tasks in hazardous places. Robots can complete human tasks easily by entering hazardous environments and sending reports to you in a safe area.
For instance, nowadays, people use drones in the construction industry to inspect and evaluate worksites. Moreover, drones can easily find errors that humans can not detect. So, drones make job inspection easier and safer.
Employee Monitoring with Artificial Intelligence
AI uses IoT sensors to track workers on different levels. Also, it is showing exceptional results in stopping viruses from spreading. For instance, if any employee is COVID-19 positive, managers can track the data and look for people who came close to that infectious worker. In this way, firms can identify viruses to spread.
However, employee monitoring can make a workplace safe in the following other ways:
- Track location of a worker
- Reduce injuries
- Monitor worker’s vital signs
- Inform workers about hazards
Harassment Tracking
One of the serious issues in every company is workplace harassment. Out of 5, 3 women experience sexual harassment at their offices. AI can help companies there too. It can check such issues and identify the person responsible. Moreover, AI uses natural language processing (NLP) to scan different files and emails for inappropriate phrases. Then, it automatically sends an alert to the manager.
Equipment Control
Another reason for workplace injuries is faulty tools and machines. As a result, many people experience horrific injuries and lose their lives every year. AI can play a significant role by identifying devices that are not working properly. Then, it proposes the best solutions for them.
Final Thoughts
To prevent the business from struggling, a company must heighten workplace safety in the above-mentioned ways. Artificial Intelligence completely empowers organizations to identify abnormalities and take preventive measures in time.
by Anika D | Jul 5, 2022 | Artificial Intelligence
Artificial intelligence is the core of the metaverse, revolutionizing businesses and other sectors with a new world. As a result, the global metaverse market is projected to grow from $100.27 billion in 2022 to $1,527.55 billion by 2029, which is a whopping number. In addition, there are some projects in line which will transform the foundation of trade. So, let’s look at how artificial intelligence and metaverse hope to achieve a true vision.
How can AI and Metaverse Build a Truly Digital World?
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There’s been a great metaverse development in the past few years, mainly in the gaming sector. Although gaming is performed in the same scenario, blockchain technology, like NFTs, etc., is a new addition. But, to achieve the ultimate metaverse, AI needs international cooperation and adaptation to a new level.
Many tech tycoons like Mark Zuckerberg believe these platforms are less AI-oriented and thus fail to work fully. Instead, a true metaverse world where you can trade, talk and indulge in social, commercial, and artistic things is the goal.
How to Overcome This Hurdle?
You will be surprised to know that more than a hundred companies are currently working on building their metaverse. In addition, it’s powered by AI and has huge flexibility, complexity, and much more.
As a result, you will have various options to choose from in an AI-powered metaverse. That includes building, conversing, playing music, making art, and buying and selling can turn a metaverse into an integral part of everyone’s lives. With various metaverse developments which are AI-driven and have strong blockchain technology, by 2026, 26% of people will be using metaverse daily.
Achieving the Vision
AI is kickstarting the growth of startups with its application in various business proceedings. Also, it will help to build a world that is exceptional and comprises all the actions you do in the real world. The powerful technology will alter neural nets (the processing force behind AI), related technology, and neural-symbolic AI (AI technology with state-of-the-art understanding abilities). Further, It will help to develop customized designs for individual users.
For example, you just have to explain a few scenarios, and an AI with a multiverse will present the same environment. In addition, it will have the VR experience and let you work in a completely virtual world.
You can use it for trading, fun, gaming, watching fashion shows, and much more. As AI technologies are properly deploying, they will unlock the real prospect of the metaverse. As a result, you will see the outcome of compelling digital landscapes that operate alongside the analog world.
Wrapping Up
This was the answer to how artificial intelligence and metaverse hope to achieve a true vision. For the metaverse to easily become extensive, smart, and functional, AI is important. With constant patterns and behavior, it will develop a world that will benefit all sectors. Surprisingly, it will range from students to business to international trading. AI, blockchain, and metaverse can ease many geographical barriers and create a truly digital world in the coming five or six years.
by Anika D | Apr 22, 2022 | Artificial Intelligence
Artificial Intelligence is not as complicated as it sounds! It has been around for many years and becoming more accessible with each passing day. As a startup, don’t be afraid of using this technology; it will only help you move forward more rapidly and efficiently. If you still have doubts, dive in to know how AI kick starts the growth of startups. Let’s have a look!
It Makes Hiring Process Easy and Efficient
The most crucial part for a startup is to hire a capable team. Imagine someone taking care of it and bringing in the best employees for you. Artificial Intelligence can reduce the hiring time and do intelligent analysis during screening rounds.
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As much as your startup needs a website, it also requires the implementation of AI. You can customize the technology for a few common screening tests, and the decision-making of AI is great. But, ofcourse, it can’t replace a human one-on-one process, but it can save lots of time in the first rounds.
Introduces Personalization With Chatbots
37% of businesses and organizations employ AI and notice groundbreaking results. Such an application of AI is Chatbots. The Intelligent AI adaptation chatbot offers unique personalization and customer experience. These chatbots are designed for complex situations to attend to customers on your website 24*7.
It reduces the hiring of customer care executives and saves lots of time. Also, if they can’t solve the problem, they transfer the issue to humans. You may have encountered chatbots on several websites, which are very helpful.
AI is Best for Marketing Strategies and Evaluation
AI is the need of the hour and very vital for startups. After all, startup businesses have to look at a thousand more things. Various AI solutions give real-time marketing intelligence formation.
Whether it’s about competitors, reviews, and implementing new marketing strategies, it will provide you with a clear sight of the trends and help you plan accordingly. With 5G emerging technologies, AI is also becoming robust, smart, and reliable. As a result, a good marketing strategy can boost your business significantly.
Smart Advertising With Artificial Intelligence
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Programmatic advertising is a great tool for focusing only on your target audience. It cuts down all the processes of large-scale marketing and advertising. The AI tool uses analytics only to advertise where it can find people interested in the business. It includes messages, emails, and online advertisements. It is a smart tool for narrowing down the audience and studying and evaluating the strategy.
Plan Your Work and get Updates From AI
Stepping into a startup is tedious work, and it would be great if you had a smart assistant. Well, AI voice and virtual assistance are well known. Also, they can alarm you for upcoming meetings.
In addition, it helps you make smart decisions, and CRM management manages your workflow. As a result, the number of businesses adopting AI grew by 270% in the last four years. It can do simple math and repetitive tasks; you don’t need to hire employees for these tasks. AI is good at basic operations and repetitive common tasks.
Let’s Wrap it
Artificial Intelligence needs a blessing if you choose it wisely. Intelligent AI software is helping in every sector of startups and businesses. So, start today and bring the technology slowly into your startup! You will be thankful for it every minute!
by Anika D | Feb 16, 2022 | Artificial Intelligence, Machine Learning
Various competitive pressures boost the AI companies in making suitable investments to have safe and reliable systems. Companies need to prevent and solve action problems to ensure the responsible development of technology and AI systems. There are various factors that improve the cooperation prospects in action problems.
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When it comes to innovation, research, and standardization, the AI landscape is synergetic. There are many reasons to sustain and enhance cooperation. Some of them are listed below:
AI Development is Resource-Intensive
Cooperation between government and AI researchers and implementing teams across the globe can maximize the scale advantage. The absence of international cooperation leads to duplicative and competitive investments in AI capacity. As a result, it creates unnecessary costs and leaves the government deprived of AI outcomes. Various inputs used in the AI development, like high-quality data access, large-scale computing knowledge benefit from scale.
- International cooperation based on democratic principles can help to focus on building trust and responsible AI development.
Though much progress is made on AI, there are differences between FCAI participants.
AI governance needs to interpret the AI principles to policy, standards, and regulatory frameworks. These need a deep understanding of AI in practice or working through the operation of principles in certain contexts. Also, in the face of unavoidable trade-offs.
- For regulation, divergent approaches create barriers to diffusion and innovation.
Government initiatives to inspire domestic AI development across digital sovereignty concepts can have cynical spillovers. For instance, restrictions on data access, discriminatory investment, data localization, and other requirements.
Similarly diverging risk categorization regimes and governing requirements can boost the costs for seeking businesses to serve the AI market globally. Varying AI regulations can necessitate variations of AI structures that can improve the work important to develop AI systems. It leads to high compliance costs that affect small firms.
Regulating AI Enables Organizations in AI Development
Companies produce business by creating expertise in AI systems, then licensing these to other companies. As AI gets global, a complex assembly of AI systems emerges in various sectors.
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The more open international market will enable a company to make benefit from digital supply chains. Moreover, boosting international competition by specialized firms will inspire more AI innovation and healthier markets.
- Enhanced trade cooperation is vital to prevent unjustified restrictions of flowing data and goods.
It substantially minimizes the prospective gains of AI Diffusion. The strategic importance of sovereignty and data has given a boost to legitimate industrial policy actions directed at mapping. But, protectionist actions can jeopardize international cooperation and impact consumer choice.
- Cooperation between like-minded countries is essential to assert the main principles of openness and democracy protection.
The risks linked with the corrupt use of AI systems by techno authorities expose citizens to potential human rights violations. It also intimidates them to split cyberspace into incompatible technology heaps and fragment the international AI development process.
Final Words
International cooperation is important for most governments. So, AI strategies show that governments respect the connection between AI development and collaboration around borders.
