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 31, 2022 | Emerging Technology
Enterprise technology trends and developments are at an all-time high and evolving daily. This amazing growth was especially witnessed after the pandemic when flexibility, security, and smart work were most needed. With the help of these robust technologies, enterprises have new opportunities and can achieve goals efficiently. So, here’s a complete list of top enterprise technology trends to watch in 2023.
Let’s have a look!
The Rise of Automation and AI
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Artificial intelligence and automation are at full wiggle after the pandemic. With hybrid and work-from-home cultures, businesses are looking for technology that can fulfill repetitive tasks efficiently. Thanks to AI, its chatbots, and the ability to perform simple tasks, enterprises readily use its applications.
As a result, 83% of IT leaders say AI is transforming customer engagement for the better. Moreover, robotic process automation (RPA) is one of the fantastic applications of AI. It builds software bots to carry on advanced proceedings. These automatic systems can adapt to the environment and dynamically modify their algorithms to give real-time solutions.
Use of Cybersecurity Mesh
With all the hustle of main goals, you may be making serious cybersecurity Mistakes. After COVID, cyberattacks have become frequent, and protecting your data and activity must be a priority. Cyber security mesh technology uses scalable security controls that can be transferred to various networks at different locations.
It has multiple components, like several supportive layers, such as consolidated policy management, security intelligence, and identity fabric. It aims to protect individual endpoints rather than attempting to preserve all assets with a single technology.
Rise of Web 3.0
Web 3.0 is the third generation web built using AI and the semantic web. It is powered by machine learning and artificial intelligence to give another level of experience. How will it help enterprises.? Well, it uses blockchain technology which is decentralized and completely safe. Moreover, it will allow:
- Transparent transactions and dealings of business
- Advanced security measures that will avoid breaches
- It will provide more data insight because it gives feedback in form while practicing anonymity
- It’s more affordable than other websites.
Cloud-Based Solutions
Flexibility is the new trend for enterprises, and some trending technologies are making it work successfully. Various cloud-based solutions allow employees to work from any part of the world. They can access data, stay safe and work in the most suitable environment.
The trend of hybrid and work-from-home environments is becoming quite popular. Applications like Microsoft Teams, Cisco UCM Cloud, and Webex help boost productivity and stay in touch. Many companies are turning to desktops as a service (DaaS) and virtual desktop infrastructure (VDI) to promote a flexible work culture. Some top cloud computing startups of 2022 are offering amazing cloud solutions to many firms. Moreover, these solutions are completely cloud-based, affordable, and very fast compared to others.
Use of Blockchain Other Than Money
You may have heard several times about blockchain in cryptocurrency in monetary transactions. But that is not it. Blockchain can do wonders and help enterprises to become more efficient. It uses end-to-end encryption and privacy to create incredible cyber security.
Some of its applications that will trend are:
- Tracking the location of goods
- Monitoring assets and machinery to record activity and output
- It can store a massive amount of data
- Financial accounts in record management.
After deploying blockchain technology to small business segments, you will notice how this technology can transform every sector.
Adoption of low code/no-code Development
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Low code, no code, also known as LCNC, will be a trendsetter technology in 2023. These platforms are specially built for noncoders by coders to do the functions of any enterprise. Luckily, it requires no knowledge of complex coding. Of course, some software developers develop the platforms, but it gives power to non-specialists to support agile operations in the enterprise.
This will reduce the costs, make nontechnical staff work on it and bring on transparency which is great. It’s becoming robust with the help of security, efficiency, and new-age technology.
Use of Modern Languages
One of the top enterprise technology trends to watch in 2023 are the use of amazing languages. These languages are relatively new but have incredible benefits for enterprises. In 2023, enterprises will bid goodbye to standard languages and welcome modern languages. It includes Rust, TypeScript, Swift, Dart, Go, Kotlin, etc.
They are trending because they use modern computer hardware and change how software is developed. For example, many large companies like Amazon and Microsoft are moving ahead with Rust. These languages are called “the most beloved language” because of their flexibility and efficiency.
Personalization Using IoB
Do you know Gartner predicts that by 2023, 40% of the world’s population will have their activities tracked digitally? Well, that’s for understanding the customer pattern. One very beneficial enterprise technology is the Internet of Behavior (IoB) which will help the organization to achieve personalization according to their customers. It will notice people’s behavior as they interact with apps and devices.
Moreover, it will bring insights into business intelligence, big data, and customer data platforms. This data records buying history, customer interactions, social media awareness, etc. Furthermore, it helps enterprises to customize their services for growth. So this will bring useful data to provide the best services in every enterprise sector.
Infrastructure as Code (IaC) Adoption
Many enterprises will use Code (IaC) infrastructure in 2023, as it is one of the most anticipated trends. It is also called software-defined infrastructure or software intelligence as code.
It allows the administration and provisioning of computer databases with the service of machine-readable definition files. Moreover, it stores IT infrastructure in software codes rather than hardware configuration tools. As a result, enterprises can check the software rather than look for each hardware.
Wrapping Up
These were the top enterprise technology trends to watch in 2023, which are the future. Gradually, all these technologies are becoming robust to transform businesses completely. Moreover, its flexibility and security make tasks easy. This immense rise was noticed after COVID when the work culture changed to digital mode. So, keep checking here for all the latest developments.
by Anika D | Aug 26, 2022 | 5G
By the year 2024, 5G will overtake the 4G technology to become the most popular mobile internet access in the US. It is already hitting the mainstream in several industries, including the IoT, smart care, smart cities, healthcare, and whatnot. Now, how do you think 5G can make a difference in education? If you are wondering so, then read through:
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While 5G technology has turned the whole world upside down (in a good way), its role in the education industry can’t be ignored. The addition of 5G in the education industry could revolutionize connectivity problems and improve the learning/teaching experience for both students/teachers.
Strong Connection Between Teachers and Students
In online education (especially during the Covid19 times), both learners and educators had to face a huge backlash on conferencing platforms. The recurrent connectivity issues caused hindrances in both teaching and learning. Thus, in such cases, 5G can work as a savior.
The fast technology will reduce the loading time and resolve the connectivity issue to offer a seamless learning experience. It will cut down the educators’ struggle and encourage quality education. Through its speed, 5G can also enhance peer-to-peer interaction in an online classroom.
On-the-Go Learning
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5G is likely to offer more responsiveness and speed to devices. This is especially applicable to mobile phones, where students will be able to learn things in one go! The introduction of the best 5G phones has become an added benefit.
Not to forget about the flexibility that students would get beyond classroom structure. On-the-go learning will be extremely valuable for students who are busy or managing two things at once.
Intelligent Classrooms
5G can produce intelligent and advanced classrooms for learners. It will transform how students learn concepts, and teachers will be able to focus on individual students.
Not just that, 5G will encourage immediate real-time feedback to teachers for a better learning experience. It will integrate technologies like AR, VR, and IoT to ensure immersive lessons in classrooms. This signifies that 5G isn’t limited to changing blockchain and the metaverse industry but also education in the coming times.
Connectivity to Multiple Devices
5G can connect with millions of devices instead of thousands (as in the case of 4G). This will be useful for universities and colleges that are divided into several campuses. It will allow students to connect easily and use 5G emerging technologies to change the future (AR/VR) in a hassle-free manner.
Fast Video Downloads
5G can improve the speed of videos and live streams. As we all know, YouTube has several educational resources from teachers worldwide. But students often struggle to download or watch the videos swiftly. The recurrent buffering is a huge downfall!
When 5G comes into play, these YouTube videos will stream swiftly. Also, the videos could be downloaded within minutes rather than hours.
More Attention to Students with Special Needs
5G is an effective technology for students with special needs or those who need more attention. It can encourage robot apps to deal with such students and ensure their better learning. As these robots will be integrated with 5G technology, there will be no connectivity barrier or responsiveness issue.
So, these were some of the efficient ways by which 5G can make a difference in education.
by Anika D | Aug 23, 2022 | General
New battery technology benefits companies that strive to meet the world’s growing needs for electric cars. Lithium iron phosphate and lithium-ion are dominating the current battery landscape. However, both have pros and cons regarding raw materials, range, and other factors. For example, Tesla (TSLA) uses lithium-ion and LFP both, whereas BYD (BYDDF) uses specialized LFP batteries only. Let’s learn how new battery technology will revolutionize electric cars.
Automakers and battery companies are heavily investing in making denser, cheaper, and lighter batteries. Some companies give old batteries a new twist for incremental improvements. Others improve battery assembly or battery form factor for a huge cost gain and performance. As a result, it is forecast that big breakthroughs and radically different chemistries will emerge.
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General Motors (GM) added tweaks in the lithium-ion chemistry to cut costs for its next-generation Ultium batteries. Likewise, Tesla’s 4680 battery cell can save expenses and five other benefits through a larger size and state of engineering. China’s CATL is the world’s largest battery maker, claiming more improvements in its new Kirin battery as its cells are now available in packs.
Various players are working on far-reaching battery innovations. CATL focuses mainly on sodium-ion batteries, QuantumScape (QS), SolidPower (SLDP), SES (SES), and Toyota Motor (TM) are working on solid-state batteries. Both types of batteries are potential game changers but face some technical hurdles.
Ram Chandrasekaran, a mobility analyst at Wood Mackenzie says that more powerful batteries will increase the adoption of electric cars. So the entire platform of vehicles surrounds the battery that supplies power and serves as a critical structural element in electric cars.
Race of Battery Technology
Another way in which new battery technology will revolutionize electric cars is through battery technology. The race for new technology is not about electric cars only. The battery powers everything from laptops to power drills. Moreover, the utility sector is a growing source of demand for batteries. But many vehicle companies shot the lead in this technology race for certain reasons. Electric cars make up to the order of 80% of lithium-ion batteries. The prices of raw materials for batteries also increase
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In Asia, China commanded 90% of battery manufacturing in the world in 2021. However, Wood Mackenzie forecasts the fall of share below 70% by the decade’s end. Across Europe and the United States, various battery manufacturing plants will form by the decade’s end because of fear of lithium shortages. In addition, companies want to reduce geopolitical risk and transportation costs since it is costly to ship heavy EV batteries.
The Department of Energy in the United States announced $3.1 billion in funding on May 2 to boost battery production. It focuses mainly on processing and manufacturing facilities, and additional $60 million help to find secondary uses for already used batteries. This money comes from the infrastructure bill in 2021.
To Wrap Up
This was a complete guide on how new battery technology will revolutionize electric cars. As per market research firm Auto Pacific, electric car sales will increase four-fold in the United States in the coming five years. It will climb from 2% of car sales to 7% in 2026. Moreover, the demand for cheaper and better electric vehicle batteries is creating a rush. It is because many companies delve into new technologies to meet the demand.
by Anika D | Aug 18, 2022 | General
Blockchain technology is an interesting subject emerging in the tech industry and beyond. It offers a way of recording transactions, designed specifically to be transparent, secure, and highly resistant to outages. This technology is young and changing at a rapid pace. Despite its positive aspects, there are some misunderstandings and confusions regarding its nature, such as:
Blockchain and Bitcoin are the Same
The common misunderstanding is that Blockchain technology and Bitcoin are the same thing. Originally, Blockchain is a database of stored transactions across various computers in the distributed form of blocks. Each block has a link with the previous one, creating a chain of blocks. On the other hand, Bitcoin is a decentralized digital currency that you can buy, sell and exchange directly without any intermediary. Bitcoin information gets stored in the public Blockchain.
Operations of all Blockchains are Similar
There are three kinds of Blockchain, each having its own pros and cons. Some are more expensive, and some are greener than others. The variation between these Blockchains makes it difficult to tackle them from a regulatory point of view. To tackle this issue, you must understand the different ways blockchain works and the attributes each of them possesses.
Blockchain is a Big Database in Cloud
Blockchain is a huge database with added properties. Therefore, its entries never get deleted. The growth of the file is indefinite, and its replicas are on all the nodes in the P2P network. Though Blockchain is a huge database, it does not store any physical information (like a document or image). It only holds a document proof of existence (in codes) but not the document.
Blockchain is Free
One of the common myths is that Blockchain is free. Although blockchain cost regarding Bitcoin has been associated with using computers to solve mathematical problems, the actual price shows a different picture. Bitcoin mining needs powerful and expensive hardware with high electricity consumption. So, there is no reason to consider Blockchain free.
Blockchain Signifies Efficiency
Though Blockchain is powerful, it does not have a magic wand that can make everything better. Originally, some sectors benefited from it and have faster and more efficient systems. However, it cannot work for everyone. Some businesses are better with centralized non-blockchain solutions. So, performing a thorough analysis before implementing anything would be best.
Blockchain Does Not Include Verification
The common problem with many traditional transactions is that ledger can get easily tempered to reflect incorrect information. Distributed databases are one of the fundamentals of Blockchain technology. It ensures all parties can access records in the chain. It is decentralized so no single person has complete control over Blockchain, making it difficult to tamper with.
Finding a Blockchain Expert is Easy
Various Blockchain experts have neither designed nor implemented Blockchain systems. However, skilled Blockchain resources are difficult to find. Moreover, they are very expensive.
To Sum Up
There is no doubt about the Blockchain potential, but this technology is far from perfect. Moreover, misconceptions will only make matters worse. So, it is critical to find the truth about Blockchain technology to improve its implementation.
