Artificial intelligence – ICT Nieuws http://ictnieuws.net/ Thu, 22 Sep 2022 05:54:54 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.3 https://ictnieuws.net/wp-content/uploads/2021/10/icon-37-120x120.png Artificial intelligence – ICT Nieuws http://ictnieuws.net/ 32 32 artificial intelligence: the global artificial intelligence market will reach 450 billion dollars in 2022 https://ictnieuws.net/artificial-intelligence-the-global-artificial-intelligence-market-will-reach-450-billion-dollars-in-2022/ Sat, 17 Sep 2022 11:50:00 +0000 https://ictnieuws.net/artificial-intelligence-the-global-artificial-intelligence-market-will-reach-450-billion-dollars-in-2022/ The market value of artificial intelligence (AI) is expected to reach nearly $450 billion this year and maintain a year-over-year growth rate over the next five years, according to a new report. In 2021, the global AI market revenue, including software, hardware and services for AI-centric and non-AI-centric applications, reached $383.3 billion, a 20.7% increase […]]]>
The market value of artificial intelligence (AI) is expected to reach nearly $450 billion this year and maintain a year-over-year growth rate over the next five years, according to a new report.

In 2021, the global AI market revenue, including software, hardware and services for AI-centric and non-AI-centric applications, reached $383.3 billion, a 20.7% increase over the previous year, according to the International Data Corporation. (IDC).

“Across all industries and functions, end-user organizations are discovering the benefits of AI technologies as increasingly powerful AI solutions enable better decision-making and increased productivity,” said Rasmus Andsbjerg, Associate Vice President, Data & Analytics at IDC.

The reality is that AI offers solutions to everything we’re facing right now.

“AI can be a source of accelerating digital transformation journeys, enabling cost savings in times of sky-high inflation rates, and supporting automation efforts in times of labor shortages,” said added Andsbjerg.

AI software accounted for the largest share of the overall AI market in 2021.

Discover the stories that interest you



The four categories of AI software – AI Application Delivery and Deployment, AI Applications, AI System Infrastructure Software, and Artificial Intelligence Platforms – have generated more than $340 billion in value market in 2021, with AI applications accounting for almost half of the total.

Artificial intelligence platforms saw the strongest year-over-year growth at 36.6%, albeit from a smaller baseline.

With nearly 300 companies vying for market share, the AI ​​application market remains highly competitive, the IDC said.

The AI ​​services market saw its total value increase by 22.4% year-over-year to reach $24 billion in 2021.

AI hardware was both the smallest segment ($18.8 billion) and the fastest growing segment (38.9% year-over-year growth) of the the AI.

Stay on top of tech news and startups that matter. Subscribe to our daily newsletter for the latest must-have tech news, delivered straight to your inbox.
]]>
The development of artificial intelligence in the People’s Republic of China https://ictnieuws.net/the-development-of-artificial-intelligence-in-the-peoples-republic-of-china/ Sat, 17 Sep 2022 05:11:06 +0000 https://ictnieuws.net/the-development-of-artificial-intelligence-in-the-peoples-republic-of-china/ In this article, we will examine one by one the points that do not yet allow the studies and developments on artificial intelligence in the People’s Republic of China to rise to 100% of the international advanced level. I) Economic benefits come first: lack of vision Many AI companies and some local governments lack vision […]]]>

In this article, we will examine one by one the points that do not yet allow the studies and developments on artificial intelligence in the People’s Republic of China to rise to 100% of the international advanced level.

I) Economic benefits come first: lack of vision

Many AI companies and some local governments lack vision and seek short-term economic benefits, hoping to see clear economic returns within one, two or two or three years. This results in a large number of AI start-ups hungry for quick success, but with a lack of confidence and weak development.

Economic benefits must be pursued, but high-tech sectors or sectors that use AI technology to promote the transformation and upgrading of other sectors and their development, must follow specific laws, as well as require a constitutive process and a certain level of success, and not a premature search for immediate profits.

II) The general level of artificial intelligence needs to be improved urgently

Despite the late start of domestic AI and the lack of participation in the development of AI technologies, patents and corresponding international standards, in China, many scientific research institutes and enterprises are involved in research and development. technological and, in some areas, are essentially at the same level or even leading compared to foreign countries. However, the overall capability and level of AI in China is far from the international level, and there is still a large gap between the general level of basic AI research and the advanced level. There is still a long way to go to reach this level as a whole and it will take time.

III) The national decision-making process remains to be put in place

Although China has announced a number of artificial intelligence-related development plans, such as Intelligent Manufacturing 2025, Robot Industry Development Plan (2016-2020), and Three-Year Implementation Plan of action for artificial intelligence on the Internet, etc. , a national strategy for the global development of AI has not yet been developed. The aforementioned program plans should also transform policy plans into targeted actions and visible benefits.

IV) State financial support needs to be further improved.

As mentioned in previous articles, China has supported AI research and related science and technology projects in many national scientific research and technology development plans, and the support is increasing. However, in relation to Internet AI, as well as intelligent manufacturing and other projects, in response to the investment of some developed countries in Europe and the United States of America, the financial support of China’s scientific research and industrial development of AI is far from enough.

In addition, compared to other projects, AI has to analyze more problems and involve a wider range of actors – so everything becomes more difficult and requires greater national support.

V) The allocation of funds for scientific research is not sufficiently fair and equitable

From time to time, the allocation of funds for scientific research has long been controversial. Firstly, the limited funds were not used for the largest and most urgent projects, but were distributed evenly – therefore “too evenly” – between certain projects that were not in urgent need of funds and those who, on the contrary, needed key support. . Second, some members of the “group of experts” allocating funds to the projects use their power for personal ends, and sometimes even agree to obtain certain financing. For a time, this had become an unwritten rule. Third, the assessment and use of funds for scientific research lacks effective oversight, and these problems also exist in the field of AI.

VI) Citizens are concerned about the development of AI

Ever since AI was conceived as a component of civil society, its social impact has drawn public attention. Some worry about the emergence and development of AI (software) and intelligent robots (hardware supported by said software), fearing that AI and intelligent machines will one day threaten the survival and development of sentient beings. humans. The greatest scientist who spoke of this danger is Stephen Hawking (1942-2018). As one of the world’s most influential physicists, he feared that using AI technology to create machines capable of independent thought would ultimately threaten the survival of mankind. Hawking said, “The full development of artificial intelligence may lead to the extinction of human beings.” The echo of his words was seized by many citizens, scientists and technicians. There is obviously another point of view of society: it is believed that even if AI has made great progress after sixty years of development, the general level of AI in the near future will never be as it is. will exceed human intelligence. Let us add, however, that progress being constant on a geometric scale, there will always be a point of no return. The question is as follows: will we be able to control, but above all define this point of no return and block it at “-x from”?

Nevertheless, some people – in our view, recklessly and foolishly – argue that we should instead attach great importance to the impact of AI itself on human society, and not waste time researching and formulate countermeasures – the “-x of” – to allay public concerns and ensure human safety.

VII) A race can lead to a wild competition

Some historians and scientists believe that there is a kind of traditional culture in Chinese society, that is, a phenomenon that flourishes everywhere and is expressed in the same way in many parts of the country. They add that these expressions are elaborate, refined and sophisticated, but they cannot guarantee the quality of the product, thus causing a huge waste of resources and manpower, and ultimately bring no economic or social benefit. This was the case in the past for large-scale steel production – the failed Great Leap Forward of 1958-1961 – as well as large-scale jet aircraft technology and thyristor devices (the Silicon Controlled Rectifier, which is a component that electrically is nearly equivalent to a diode, with the only difference that forward conduction only occurs after an appropriate trigger signal is applied to a third terminal called gate), and in current automotive production, industrial robot parks and drone development. At present, there is not only overcapacity in the automobile sector, but most of the companies in the robotics industrial park are facing a difficult situation of wild competition and are likely to be wiped out in the near future. .

Chinese AI and its industry have currently attracted unprecedented attention from the government and all walks of society. Fortunately, the phenomenon of the AI ​​industry popping up and flourishing everywhere without any criteria did not happen. The threshold of the technological starting point of the AI ​​industry is relatively high, and the difficulty and risk of starting and growing a business are equally high. There may be fewer brave and strong entrepreneurs than robot entrepreneurs, and I hope the robot industrial park will repeat the proliferation phenomenon.

VIII) Blind optimism and arrogance harm development

Many insightful people believe that there is a big gap between the current domestic AI basic research, application development and international advanced level. However, some domestic AI researchers and developers overestimate their achievements, believing that domestic AI has surpassed the international advanced level in many respects.

In order to assess whether a discipline has reached or exceeded the advanced international level, not only impartial and equal international standards must be generally recognized, but also a convincing set of results. We will not specifically address the issue in this article, but we would like to describe the level of development of AI in China from the status of the Turing Award, the highest scientific and technological honor in the international IT and computer industry.

Since 1966, the American Association for Computing Machinery (ACM) has organized 55 editions of the Turing Award, with a total of 75 winners, given that in some editions there was more than one winner.

Among the winners are Shanghai-based Chinese-American computer scientist Yao Qizhi, who won the award in 2000, with theory of computation, including pseudo-random number generation, cryptography and communication complexity.

China has won the international supercomputer speed championship several times. It is a result worth celebrating, but all this is not enough to prove that China’s AI technology has reached the international advanced level. Although the AI ​​development of many domestic giant enterprises has made rapid progress and their achievements are gratifying, China has yet to reach the level of international leadership.

Major international companies and developed countries from Europe, America and Japan have invested heavily in their efforts to achieve a dominant position in such global competition. The secret lies in not being blindly optimistic and never overestimating your own accomplishments.

IX) There is a tendency to replace research on artificial intelligence with philosophical research

Artificial intelligence, although not belonging to the branch of human sciences, has philosophical questions to put on the table. Some researchers conduct research ranging from AI to the philosophy of information or other philosophical perspectives, which are needed and worth supporting. For a long time, however, there has been a tendency in China to replace AI research with philosophical research, as well as to exaggerate the role of philosophical questions on the technical aspects of AI, and even to try to dominate AI disciplines with philosophy.

Rather, there is a need for concrete research on the main issues of AI. Professor Wu Wenjun (1919-2017), a mathematician and scholar known for his contributions to the fields of differential geometry, topology and computational geometry, once seriously warned: “Our real intention is never to discuss with words and speak with letters. . What we should do is work hard and do it skillfully. Taking advantage of the great opportunity offered by the advent of the computer age, we must take the initiative to promote the mechanization of mental work in the world and show our ideas to the planet with concrete results”.

10) International cooperation must be further strengthened

China has promoted considerable international cooperation in the field of AI, including hosting international conferences, traveling overseas to attend international conferences, and sending personnel to participate in international AI research. AI on a cooperative basis. These activities should not only be extended, but also the level of results of cooperation should be improved. It must be said that international cooperation on AI must be further strengthened so that the “international” status of Chinese academics is further strengthened. (8. continued).

]]>
rephrase.ai Funding: Artificial Intelligence Startup Rephrase.ai Raises $10.6M in Funding Led by Red Ventures https://ictnieuws.net/rephrase-ai-funding-artificial-intelligence-startup-rephrase-ai-raises-10-6m-in-funding-led-by-red-ventures/ Fri, 16 Sep 2022 08:25:00 +0000 https://ictnieuws.net/rephrase-ai-funding-artificial-intelligence-startup-rephrase-ai-raises-10-6m-in-funding-led-by-red-ventures/ Rephrase.ai, an artificial intelligence (AI) startup, said on Friday it raised $10.6 million in funding led by Red Ventures. Existing investor Silver Lake also participated in the round along with 8VC and other investors. The startup will use the funds to improve its capabilities by integrating product experiences; scaling hiring across the company, including engineering, […]]]>
Rephrase.ai, an artificial intelligence (AI) startup, said on Friday it raised $10.6 million in funding led by Red Ventures. Existing investor Silver Lake also participated in the round along with 8VC and other investors.

The startup will use the funds to improve its capabilities by integrating product experiences; scaling hiring across the company, including engineering, AI, product, sales and marketing teams; and expand its presence in North America.

Rephrase.ai aims to democratize video, making high-quality video creation capabilities available to businesses of all sizes in all industries.

“We started Rephrase.ai four years ago with the goal of creating an engine that could create professional-looking videos,” said Ashray Malhotra, CEO and co-founder of Rephrase.ai. “Over the past year, we have developed hundreds of digital human clones, creating millions of videos in the process. I’m excited to welcome Red Ventures, Silver Lake, and 8VC as partners on this journey to help accelerate the global adoption of generative AI videos.

Rephrase.ai uses deep learning to create digital avatars of real humans that can be used for synthetic video content with only text input.

“With the current mass customization of video content, our bet is on reinventing the video production process, and this, as a business process technology, has incredible potential. We are impressed with the leadership and talents of Rephrase .ai, which are a tremendous competitive advantage in such a nascent field,” said Carlos Angrisano, President of Red Ventures.

Discover the stories that interest you



Over the past year, Rephrase.ai’s team has grown from 12 to 35 people and built a team that includes researchers from Google, Samsung, Facebook, and Amazon.

Stay on top of tech news and startups that matter. Subscribe to our daily newsletter for the latest must-have tech news, delivered straight to your inbox.
]]>
Artificial Intelligence Trends to Watch in 2023 and Beyond https://ictnieuws.net/artificial-intelligence-trends-to-watch-in-2023-and-beyond/ Fri, 09 Sep 2022 07:00:00 +0000 https://ictnieuws.net/artificial-intelligence-trends-to-watch-in-2023-and-beyond/ AI applications already have considerable importance in our daily lives. Smart assistants, self-driving cars, healthcare management, disease mapping, and social media monitoring are some of the best-known examples of artificial intelligence. Tech giants like IBM, Microsoft and Samsung have never failed to influence and dazzle us with their innovations and provide an edge to people […]]]>

AI applications already have considerable importance in our daily lives. Smart assistants, self-driving cars, healthcare management, disease mapping, and social media monitoring are some of the best-known examples of artificial intelligence. Tech giants like IBM, Microsoft and Samsung have never failed to influence and dazzle us with their innovations and provide an edge to people around the world.

Top AI trends to watch for 2023

There is no doubt that technology companies around the world are vying for the supremacy of artificial intelligence applications to revolutionize their digital transformation efforts. A time would come when it would be difficult to say where artificial intelligence stops and humanity begins. IBM is currently leading the AI ​​market race with more than 9% market share and 5,500 patent families as of November 2020. Samsung and Microsoft also have their game with nearly 500 patents. These key players have life-changing AI applications that have made businesses in different industries more profitable. However, let’s talk about upcoming AI trends in 2023 and beyond that are likely to take over global capabilities.

Advancement of Conversational AI Applications in 2023 and Beyond

Google Home, Alexa and Siri are some examples of conversational artificial intelligence. Most companies have adapted and applied conversational AI in their support contact centers thanks to technological advancements. However, the contemporary conversational AI model does not use AI to its full potential and leaves the customer with a disconnected experience. Since the AI ​​uses pre-stored data and dialogues, the user experience is fragmented and ends with the request of a human agent. Full automation of conversational AI applications remains to be seen, but these have proven capable of handling more traffic. It is said that with advancements in AI technology, we will soon be able to experience AI conversation in a more human and interactive way.

Revolutionizing the work of NFT artists

Non-fungible tokens, or NFTs, have demonstrated greater proficiency for performers and how they are rewarded. Drawing contemporary fashionable art is a great and unrivaled skill, but not everyone is good at drawing. Artificial intelligence applications have made their way through this, allowing you to create the perfect art using AI-based applications. Today, most devices have artificial intelligence applications that help you complete your task more efficiently and convincingly.

Soon you will be able to use voice commands to draw a picture. For example, if I command the AI ​​to draw a picture of a monkey holding a baseball bat, it will draw the exact same thing, and the rest can be customized to your artistic needs. It will be a groundbreaking innovation in which artists will be able to display the best of their work in a more organized way using diving artificial intelligence applications and be rewarded.

AI will become mainstream in the justice system

As crazy as it sounds, AI is already being used and seen in some courtrooms. Facial recognition has faced a lot of backlash as one of the most controversial technological innovations. It is one of the most widely used AI applications in police departments. There have been several instances where facial recognition software has proven to be accurate and has enormous potential for solving crimes. Moreover, risk assessment is one of the AI ​​application trends in 2023 that the justice system will adopt.

Explicit Crypto Market Predictions Using Artificial Intelligence Applications

One of the best examples of artificial intelligence. Cryto.com, ZenGo, BlockFi, Gemini, Binance and Coinbase are some of the most used crypto investment platforms. Despite the COVID-19 pandemic, cryptocurrency investors have been getting consistent returns as crypto mining happens 24/7. With over 4000 cryptocurrencies, it is difficult to make the right investment as the crypto market is known for its volatility and fluctuations. A lot of technical analysis is required before a crypto investment can generate returns.

Blockchain technology being at the core of cryptocurrency, AI can be implemented to address the challenges found in the current crypto and AI model. Analyzed data will be collected and processed, including news, social forums, articles, blogs and stock posts. This will be supported by an artificial intelligence application which will analyze the market sentiment and give the most accurate prediction.

Pervasive attention in the healthcare industry

Ever since artificial intelligence (AI) was invented in the 1950s, there has been debate about whether AI is taking over humans and their jobs. In 2018, using more than 50,000 normal chest images and 7,000 scans showing active tuberculosis, a deep learning algorithm was developed, which showed an accurate diagnosis. Since then, machine learning (ML) and deep learning have been the most common forms of artificial intelligence in healthcare. Examples of AI in healthcare are primarily pathology-assisted diagnosis, smart imaging, medical robots, and patient record analytics. Big tech giants have pitched their innovations and machine learning models to major healthcare players, and most of them will be implementing artificial intelligence in their business models. So we have to watch the future trends of artificial intelligence in 2023. You can check ProjectPro Machine Learning Projects to learn more about machine learning.

Range of AI-based software solutions

Many organizations have adopted AI-based software solutions for more industry-specific use cases. According to a survey, in 2021, 56% of organizations today will have at least one or more AI-based applications for their core business functions. That being said, the future of AI looks encouraging. Some AI-based software solutions likely to attract attention in 2023 and beyond are cloud-based AI models, neural networks and deep learning, AI chatbots and apps.

Artificial intelligence and its applications are very similar to those of the air. They are everywhere; we just don’t see them. AI has a lot to offer, and we’ve just seen the tip of the iceberg. So please pay attention to the latest and trendiest innovations that are yet to come in the immediate future.

]]>
The Ukrainians have immortalized in the NFTs an artificial vision of war events. All the money from their sale will be sent to humanitarian aid https://ictnieuws.net/the-ukrainians-have-immortalized-in-the-nfts-an-artificial-vision-of-war-events-all-the-money-from-their-sale-will-be-sent-to-humanitarian-aid/ Thu, 08 Sep 2022 10:03:03 +0000 https://ictnieuws.net/the-ukrainians-have-immortalized-in-the-nfts-an-artificial-vision-of-war-events-all-the-money-from-their-sale-will-be-sent-to-humanitarian-aid/ The real story of what is happening in Ukraine can now be learned through the Neuron Art trend. Al illustrated all the most important news of the war for the period of a month. They are the 4th drop of the NFT Warline collection, which belongs to the META HISTORY museum. This project turns all […]]]>

The real story of what is happening in Ukraine can now be learned through the Neuron Art trend. Al illustrated all the most important news of the war for the period of a month. They are the 4th drop of the NFT Warline collection, which belongs to the META HISTORY museum. This project turns all important events from the first day of battles into works of art. The last of his works will be devoted to victory.

The purpose of Warline is to counter Russian propaganda with proven facts and to raise funds for humanitarian aid through the sale of NFTs. The collection already contains 3 drops, for which the works of more than 200 Ukrainian and foreign artists have been symbolized. The 4th drop was created in cooperation with ZibraAI – a Ukrainian high-tech startup focused on creating AI-based technologies and products for the gaming industry.

The ZibraAI team worked with the neural network that generated images from the news texts selected by the META HISTORY team. These specialists are usually involved in the development of games, including AAA class games. They create products on Unreal Engine and recently received a Mega Grant from Epic Games. On the ZibraAI side, there were three people involved. The development and customization process took around 1.5-2 months. During the technology debugging period, Al learned to produce a result very similar to the images that are now part of the collection. The only problem that appeared in the process was the images of the technique. They were quite deformed at first. But over time they managed to achieve a result which is now available for purchase on https://metahistory.gallery.

The money received from the sale of NFT will be sent to the blockchain charity fund “Unchain” and Ukraine’s largest fundraising platform for online charity dobro.ua. Both organizations are working to solve important social problems that many Ukrainians can no longer face alone because of the war. Both post real-time account receipts on the project website. This way, everyone can see how their funds are channeled towards humanitarian aid. The Unchain fund is backed by famous figures from the crypto world such as Vitalik Buterin and Illia Polosukhin.

In turn, the META HISTORY museum has already transferred more than $1.3 million to state and charitable initiatives. This is the largest NFT charity project in the country officially supported by the Ministry of Culture of Ukraine. Launched in March 2022 to help defenders, META HISTORY is now becoming a larger project to support and restore the country.

“This is the biggest war in the new history of Europe, which leaves a terrible mark. In response, we will create the biggest charity NFT platform. Not only in Ukraine, but in the whole world, I hope. Because the need to rebuild our country and restore its cultural values ​​will require funds for years to come. And we believe that the NFT community, which values ​​creativity, freedom and art so much, will support us like no other. another and will answer our call for help.VK, founder of the META HISTORY museum.

To give as many people as possible the opportunity to buy NFTs from the 4th Warline drop, the META HISTORY team has opened a whitelist. By signing up as one of the first 800 members, you get a free mint ― an NFT purchase with no additional transaction fees. To register, go to joinlist.me/metahistorycomplete all tasks, go to the project website https://metahistory.gallery and buy the selected token from the collection.

]]>
With artificial intelligence and increased profits, Feed3 (FD3) plans to become the new crypto king and replace VeChain (VET) and Ripple (XRP) https://ictnieuws.net/with-artificial-intelligence-and-increased-profits-feed3-fd3-plans-to-become-the-new-crypto-king-and-replace-vechain-vet-and-ripple-xrp/ Thu, 08 Sep 2022 06:18:00 +0000 https://ictnieuws.net/with-artificial-intelligence-and-increased-profits-feed3-fd3-plans-to-become-the-new-crypto-king-and-replace-vechain-vet-and-ripple-xrp/ NNA | Updated: 08 September 2022 11:48 STI New Delhi [India]September 8 (ANI/ATK): Blockchain technology is becoming popular every day and many people are taking advantage of its versatility. What started as an alternative to fiat currencies has grown into a billion dollar industry. Bitcoin (BTC), which is the first known cryptocurrency, has been adapted […]]]>



NNA |
Updated:
08 September 2022 11:48 STI

New Delhi [India]September 8 (ANI/ATK): Blockchain technology is becoming popular every day and many people are taking advantage of its versatility. What started as an alternative to fiat currencies has grown into a billion dollar industry. Bitcoin (BTC), which is the first known cryptocurrency, has been adapted and improved by crypto enthusiasts who want to increase the cost of digital currencies. While Bitcoin remains one of the most sought after cryptocurrencies, specific issues have been identified with it. The proof-of-work consensus used by Bitcoin uses a ton of energy and attracts high transaction fees; this has been a discouraging factor for those interested in joining the crypto train. As a result, new coins are developing with advanced blockchain technology and a better decentralized system.
Power3 (FD3), VeChain (VET) and Ripple (XRP) are some of the recent pioneering coins with the desire to make cryptocurrencies accessible and cheaper. VeChain is a currency built on distributed government and Internet of Things (IoT) technologies to solve important data problems for industries such as medicine, food and beverage, sustainability, etc. Ripple (XPR) is a decentralized system that offers low transaction fees, speed, and scalability to users. It is also carbon neutral and energy efficient. Feed3 (FD3) is a community-driven token that hopes to merge gaming experience with blockchain technology.
Business Boost Guaranteed with the VeChain (VET) Token
VeChain is a globally oriented enterprise blockchain platform that plans to help businesses grow and become more efficient by leveraging the distinctive properties of the VeChain Thor blockchain to develop applications that will, in turn, benefit to business operations. The network provides solutions for these businesses to link their physical operations to blockchain-based services. This innovation has been successfully adapted to logistics, NFT ecosystem, games, logistics, etc. In simpler terms, the VeChain network tries to build a bridge between physical and blockchain transactions.
The ecosystem uses two tokens, VET and VTHO. VeChain (VET) is used to transfer value to other VeChain users for salaries, payments and remittances. VTHO, the second token in the ecosystem, is used as the network’s platform gas token, settlement of transactions, and as payment for payment for the creation of smart contracts. The VeChain network uses a different consensus algorithm known as Proof of Authority (PoA) to help secure transactions and maintain the blockchain. To deploy blockchain-based solutions in record time, the VeChain network uses the VeChain ToolChain. This blockchain application includes blockchain-as-a-service (BaaS), platform-as-a-service (Paas) and software-as-a-service (Saas) solutions to ensure that users running their businesses succeed on the network.
Can Ripple (XPR) succeed as an alternative to Bitcoin?
Designed as an alternative to Bitcoin, Ripple (XPR) token focuses on developing instant and cheap cross-border payments. It depends on a public ledger called XPR Ledger to store transaction data. The network uses a consensus algorithm based on the Federated Byzantine Agreement (FBA) model. With this model, all transactions are transparent, meaning anyone can become a validator. Additionally, all verified transactions can be processed without a single point of failure, and no participant can make an independent decision. In 2017 and 2018, the Ripple (XPR) token temporarily replaced Ethereum as the second-tier crypto. Additionally, it has in the past been ranked alongside Bitcoin and Ethereum as one of the top three cryptocurrencies by market capitalization.
Despite the legal wrangling between the Ripple token and the United States Securities and Exchange Commission (SEC), XPR remains an active competitor in the crypto space. The network, with its improved ledger, offers low cost transactions, speed and scalability. Ledger XPR settles transactions in 3-5 seconds, and there are typically 1,500 transactions per second. In addition, the transaction costs 0.0002 USD. Additionally, the creators of the Ripple (XPR) token hope to add NFT to the ecosystem soon. On the network, Python, Java, and JavaScript developers can access different tutorials to learn about various coding languages, manage accounts, build apps, and more.

Feed3 Token (FD3): Taking Artificial Intelligence to the Next Level
The Feed3 Token (FD3) is a web 3.0 economy powered by blockchain technology developed to enhance user experience with blockchain-based games. It also enhances interaction with a decentralized application (dApp) through voice notes powered by artificial intelligence. Essentially, the introduction of gambling and the metaverse is a newly established concept in the crypto community. Merging an already existing gaming community with digital blockchain technology is a smart move for the Feed3 network as it will automatically increase engagement on the platform. As a community network, users will be rewarded for their efforts and contributions with FD3 tokens. To achieve this, a Feedback-to-Earn (FB2E) model is merged with the Play-to-Earn model of the blockchain game. With this, a secondary income channel will be created for users and players by sharing their comments and opinions.
With the Freeda network of algorithms, Feed3 platform processes govern and collect incoming audio feedback. With Freeda, players can record audio commentary in plain English and send it to the product development team. As a result, everyone on the platform is involved in the development of the network. Moreover, to enhance this idea and create better opportunities for gamers, AI-based innovation must be merged with a blockchain-based solution. Additionally, the Feed3 team managed to create F3 BOTS, smart NFTs that can process voice feedback, generate FD3 tokens, and create passive income for users.
Is Metaverse a great addition to the Feed3 (FD3) token?

Metaverse is a relatively new addition to the cryptocurrency industry. As a result, it is not an aspect that has been explicitly explored, but crypto experts have predicted considerable growth potential. Some international brands and tech gurus have shown interest in Metaverse. Due to its infant stage, there is plenty of room for multiple people to explore and define what Metaverse means to them. With the possibility of its greatness, Feed3 decided to exploit this, join the virtual world and help existing projects gain valuable information from users by giving them the ability to record audio comments. The creators of Feed3 will partner with these current metaverse projects and hopefully make their mark as well. These partnerships were chosen based on community size, popularity, reputation, investment partners, etc.
Some of the networks and plays Feed3 hopes to work with include The Sandbox (SAND), Decentraland (LAND) and Otherdeed for Otherside. Due to their significant contributions to the development of Metaverse, Feed3 decided to establish a connection with them. This proves that Metaverse is a nascent innovation that will likely rise in value shortly. Merging the metaverse with artificial intelligence and gaming will make Feed3 stand out in the crypto industry.

What’s on the Tokenomics Feed3 (FD3)?
The Feed3 (FD3) token is a BEP-20 coin on the BNB smart chain. There will be a total supply of 8.74 billion coins in circulation. 35% of these tokens will be sold during the presale, 25% for exchanges, 15% for partnership, 10% will be reserved for the team, Advisors will be entitled to 5%, and 10% will be for marketing. During the presale, prices will fluctuate; in the first stage, the initial cost will be $0.005, the price in the second stage will be $0.008, and the price in the last stage will be $0.01.
Feed3 Roadmap (FD3)
To achieve the goals that Feed3 has set itself, a five-step plan has been developed. The first phase will see the launch of the website, the start of the Freeda building, the acquisition of the annotated audio data and the publication of the white paper. The second phase will include the FD3 private sale, the development of the FS2E model, the listing of FD3 tokens on CoinGecko and CoinMarketCap, and the selection of blockchain partners. In addition, the third stage will be the FD3 public presale, the production of the first batch of F3 BOTS, the collaboration with influencers, and the launch of the FB2E version and product demo. The fourth phase will include the listing of Feed3 (FD3) tokens on centralized exchanges, the completion of the Freeda building, the launch of play-to-win partnerships, and the launch of the F3 dApp. Finally, the final phase will include initiating metaverse partnerships, completing the F3 dApp building, expanding to other blockchain networks, and launching the Bug Bounty initiative.
There is a massive and continuous expansion of digital currency. With the initial idea of ​​creating a decentralized monetary system, it evolved to include a virtual world, metaverse, artificial intelligence, and more. To populate and further expand these innovations, Feed3 jumped on the bandwagon. Gambling, a popular concept among young people, will rise in value as Feed3 intends to merge with the digital currency. Running on a decentralized system, Feed3 involves everyone in the decision-making process and even encourages users to record audio comments to increase the reach of the platform. Feed3 (FD3) is a cryptocurrency that dreams of changing people’s perception of crypto and showing them that it can be much more than an alternative to physical and fiat currencies.
Power3 (FD3)
Presale: https://presale.feed3.io
Website: https://feed3.io
Telegram: https://t.me/Feed3Official
Twitter: https://twitter.com/Feed3Token
This story was provided by ATK. ANI shall in no way be responsible for the content of this article. (ANI/ATQ)

]]>
Manufacturers, Countries, Type and Application, Global Forecast to 2026 https://ictnieuws.net/manufacturers-countries-type-and-application-global-forecast-to-2026/ Tue, 06 Sep 2022 08:07:48 +0000 https://ictnieuws.net/manufacturers-countries-type-and-application-global-forecast-to-2026/ Statistics presented in research report on the Artificial Intelligence in Law market demonstrate the present growth rate and potential for the future over the assessment period of 2022-2028. It encompasses pivotal factors such as growth drivers and opportunities, as well as concrete responses to urgent threats, to facilitate a clear understanding of […]]]>




Statistics presented in research report on the Artificial Intelligence in Law market demonstrate the present growth rate and potential for the future over the assessment period of 2022-2028. It encompasses pivotal factors such as growth drivers and opportunities, as well as concrete responses to urgent threats, to facilitate a clear understanding of market dynamics.

Apart from that, the market is expected to showcase a decent growth rate as supported by reliable primary and secondary research methodologies.

A comprehensive analysis of the key market segments is also provided. For the benefit of stakeholders, the competitive landscape prevalent within the industry space is overtly assessed on the basis of their product offerings, financials, pricing model and research and development activities.

Request Sample Copy of this Report @ https://www.newsorigins.com/request-sample/58175

Major takeaways from the Artificial Intelligence in Law market report:

  • The figures relating to the growth rate, the revenues generated and the sales made by each product line are mentioned.
  • A top-down assessment of productivity in different geographies
  • Critical overview of past and upcoming industry trends
  • Opportunities to improve marketplace profitability
  • Advantages and disadvantages of direct and indirect sales channels
  • Important traders, dealers and distributors are detailed in the report.

Artificial Intelligence in Law market segments covered in the document:

Regional bifurcation: North America, Europe, Asia-Pacific, South America, Middle East and Africa, Southeast Asia

  • Assessment of each regional market at the national level
  • Market share, current rate and forecast for each geographical area
  • Accumulated revenues and sales specific to each geographical area

Product Line: Blockchain, Cloud and Others

  • An exhaustive overview of the revenue generated by each type of product
  • Market share and growth potential of each product
  • Pricing model, scope of research and latest developments in the product line

Application Spectrum: Speech Recognition Software, Document Capture and Automated Workflows, Redaction and Encryption and Others

  • Figures relating to the volume of consumption of each type of application
  • Basic overview of relevant product prices based on each application

Competitive Dashboard: AIBrain, Amazon, Anki, CloudMinds, Deepmind, Google, Facebook, IBM, Iris AI, Apple, Microsoft, and Intel

  • Primary information of listed companies
  • Market share, revenue and sales generated by each organization
  • Strategic partnership agreements, acquisitions and mergers between industry magnates are included.
  • Market Calculation Ratio Calculation

FAQs:-

  1. What is the growth potential of the market over 2022-2028?
  2. What are the product ranges detailed in the market report?
  3. Which applications are discussed in detail in the market report?
  4. Define the competitive hierarchy within the market space?

Influence of the Artificial Intelligence in Law market report:

  • Comprehensive assessment of all opportunities and risk in the Artificial Intelligence in Law Market.
  • Recent innovations and major events in the Artificial Intelligence in Law market.
  • A detailed study of business strategies for growth of the Artificial Intelligence in Law Market-leading players.
  • Revealing study on the growth area of ​​Artificial Intelligence in the Law Market for the coming years.
  • In-depth understanding of the Artificial Intelligence in Law market drivers, restraints, and major and minor markets.
  • Favorable impression within vital technological and market latest trends striking the Artificial Intelligence market on the right.

The vast assortment of charts, graphs, charts, and graphs obtained in this market research report generates a strong niche for in-depth analysis of the ongoing trends in the Artificial Intelligence in Law market. The report also examines the latest developments and advancements among key market players such as mergers, partnerships, and achievements.

MAJOR REPORT TOC:

  • Chapter 1 Industry Overview
  • Chapter 2 Production Market Analysis
  • Chapter 3 Sales Market Analysis
  • Chapter 4 Consumption Market Analysis
  • Chapter 5 Comparative Analysis of Production, Sales and Consumption Market
  • Chapter 6 Major Manufacturers Production and Sales Market Comparison Analysis
  • Chapter 7 Major Product Analysis
  • Chapter 8 Major Application Analysis
  • Chapter 9 Industry Chain Analysis
  • Chapter 10 Global and Regional Market Forecast
  • Chapter 11 Major Manufacturers Analysis
  • Chapter 12 New Project Investment Feasibility Analysis
  • Chapter 13 Conclusions
  • Chapter 14 Appendix

Customization request for this report @ https://www.newsorigins.com/request-for-customization/58175

]]>
From Google Home to Alexa, artificial intelligence will play a big role in cryptocurrency trading https://ictnieuws.net/from-google-home-to-alexa-artificial-intelligence-will-play-a-big-role-in-cryptocurrency-trading/ Fri, 02 Sep 2022 03:11:59 +0000 https://ictnieuws.net/from-google-home-to-alexa-artificial-intelligence-will-play-a-big-role-in-cryptocurrency-trading/ From Google Home to Alexa, the role of artificial intelligence (AI) seems to have grown over the years. It is now believed that AI will play a bigger role when it comes to crypto exchange. “As more financial institutions begin to offer crypto-assets as a wealth management offering, AI-backed trading roles will become more popular. […]]]>

From Google Home to Alexa, the role of artificial intelligence (AI) seems to have grown over the years. It is now believed that AI will play a bigger role when it comes to crypto exchange. “As more financial institutions begin to offer crypto-assets as a wealth management offering, AI-backed trading roles will become more popular. There are over 4,000 crypto-assets. currencies and even the oldest coins show strong price fluctuations. Similarly, the Bitcoin 30-day volatility index is double the value of 2016 (according to data published on buybitcoinworldwide),” said Saurav Raaj, founder, director of Wize, a non-fungible token (NFT) infrastructure for enterprises, at FE Digital Currency.

According to industry watchers, AI is being used in smart trading systems for stock market forecasting and currency price prediction. According to a report from IEEE Access, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) is a time-series statistical model used to understand volatility. “AI is in the business of analyzing market sentiment. Unlike traditional stocks, discussions between trading communities and reports on social media can guide trading decisions. AI with language processing (NLP) can analyze market and community sentiment and provide valuable insights to traders,” Raaj added.

Courtesy: IEEE Access, ResearchGate.

It is believed that the trading decision is usually based on behavioral biases that cause them to act on an emotion that could lead to errors while processing information. “AI-guided crypto trading is unlikely to get rid of emotional factors, it is likely to amplify this via machine learning. A deliberate fix in AI programs to avoid trading at large corrections , and surges can help. However, it is also likely to slow down the usual stop-loss or take-profit exercise,” said Economic Intelligence Unit (EIU) India analyst Liquing Yu. Indonesia and Singapore.

Additionally, industry experts have noted that if properly implemented and trained, AI can help eliminate human biases. According to Vikram Pandya, Director, Fintech, SP Jain, it definitely helps in making science-based decisions backed by data, not impulse.

According to Business Insider Report of June 2019, AI is used in the banking industry in three areas, namely conversational banking, fraud detection, risk assessment and credit underwriting. AI-based systems can help process trading data, which can help traders make better investment decisions. “AI combined with machine learning (ML) can provide protections against such attacks and reduce damage in real time. In extreme cases, it can be used to trip circuit breakers and even stop trading,” Raaj added.

Read also : From centralization to decentralization; how blockchain-oriented fintech can benefit the financial sector

follow us on Twitter, Facebook, LinkedIn

]]>
Implementing Machine Learning, Artificial Intelligence, and Robotic Process Automation Presents Opportunities https://ictnieuws.net/implementing-machine-learning-artificial-intelligence-and-robotic-process-automation-presents-opportunities/ Wed, 31 Aug 2022 08:18:00 +0000 https://ictnieuws.net/implementing-machine-learning-artificial-intelligence-and-robotic-process-automation-presents-opportunities/ company logo Dublin, Aug. 31, 2022 (GLOBE NEWSWIRE) — The “Global Insurtech Market Report 2022, By Product, Technology, Offering, Deployment, Application” report has been added to from ResearchAndMarkets.com offer. The global insurtech services market is expected to grow from $8.07 billion in 2021 to $10.42 billion in 2022 at a compound annual growth rate (CAGR) […]]]>

company logo

Dublin, Aug. 31, 2022 (GLOBE NEWSWIRE) — The “Global Insurtech Market Report 2022, By Product, Technology, Offering, Deployment, Application” report has been added to from ResearchAndMarkets.com offer.

The global insurtech services market is expected to grow from $8.07 billion in 2021 to $10.42 billion in 2022 at a compound annual growth rate (CAGR) of 29.2%. The change in growth trend is mainly due to the companies stabilizing their production after meeting the demand which increased exponentially during the COVID-19 pandemic in 2021. The market is expected to reach $29.75 billion in 2026 with a CAGR of 30%.

North America was the largest region in the insurtech services market in 2020. Asia-Pacific is expected to be the fastest growing region during the forecast period. Regions covered in this report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

Insurtech is profitable, which contributes to the growth of the insurtech market. Insurtech is more profitable than traditional insurance companies because insurtech eliminates the need for an intermediary between the insurance provider and the customer. Through digitization and highly responsive customer engagement software, insurtech reduces the steps a customer takes during their onboarding and claims handling experience, reducing the overall cost of the insurance policy.

Insurtech companies are increasingly using hyper-automation to meet growing customer demands and offer competitive pricing. Hyper automation is a combination of machine learning (ML), artificial intelligence (AI), and robotic process automation (RPA) that enables insurtech professionals to run their businesses faster, more efficiently, and more efficiently. completely safe. According to a study by Cigniti, an India-based software company, more than 65% of insurtech companies are likely to adopt at least partial hyper-automation by 2024 as new technologies and evolving customer expectations are driving rapid transition in the industry.

In June 2021, MGA CorvusInsurTech, an American company providing insurtech services, acquired Wingman Insurance for an undisclosed amount. This purchase presents additional opportunities for MGA CorvusInsurTech as they have embarked on an acquisition strategy and maintained organic growth by increasing their presence in the small and medium business sector and establishing the ability to white label their products and services. while taking a closer look at different product lines. Wingman Insurance is a US-based company that provides digital insurance services.

Scope
Covered markets:
1) By product: Health insurance; Life insurance; Travel insurance; Car insurance; Commercial insurance; Home Insurance; Others
2) By technology: Blockchain; Cloud computing; IoT; machine learning; Robo Council; Others
3) By proposing: solutions; Services
4) By deployment: on-premises; Cloud
5) By application: automotive industry; Banking and financial services; Government sector; The health industry; Manufacturing industry; Retail business; Others

Main topics covered:

1. Summary

2. Characteristics of the Insurtech Market

3. Insurtech Market Trends and Strategies

4. Impact of COVID-19 on Insurtech

5. Insurance Market Size and Growth

6. Insurance Market Segmentation

7. Regional and Country Analysis of the Insurtech Market

8. Asia-Pacific Assurtech Market

9. Insurance market in China

10. Indian insurance market

11. Japan Technology Insurance Market

12. Insurance market in Australia

13. Insurtech Market in Indonesia

14. South Korea Insurtech Market

15. Technology Insurance Market in Western Europe

16. UK insurance market

17. Insurance market in Germany

18. The French Insurtech market

19. Eastern Europe Technology Insurance Market

20. Russian insurance market

21. North America Insurance Market

22. Insurance market in the United States

23. South America Insurance Market

24. Insurtech market in Brazil

25. Middle East Insurtech Market

26. Africa Technical Insurance Market

27. Insurtech Market Competitive Landscape and Company Profiles

28. Major Mergers and Acquisitions in the Insurtech Market

29. Insurtech Market Future Prospects and Potential Analysis

30. Annex

Companies cited

For more information on this report, visit https://www.researchandmarkets.com/r/4daghl

CONTACT: CONTACT: ResearchAndMarkets.com Laura Wood, Senior Press Manager press@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470 For U.S./CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900
]]>
Short-term interest in ETF Global X Artificial Intelligence & Technology (NASDAQ:AIQ) has increased significantly https://ictnieuws.net/short-term-interest-in-etf-global-x-artificial-intelligence-technology-nasdaqaiq-has-increased-significantly/ Sat, 27 Aug 2022 22:38:57 +0000 https://ictnieuws.net/short-term-interest-in-etf-global-x-artificial-intelligence-technology-nasdaqaiq-has-increased-significantly/ In August, there was a significant increase in the number of short positions in the ETF Global X Artificial Intelligence & Technology (NASDAQ: AIQ). As of August 15, 65,600 shares had been borrowed, an increase of 68.6% compared to the 38,900 shares borrowed the day before. The current short interest ratio is 2.6 days, with […]]]>

In August, there was a significant increase in the number of short positions in the ETF Global X Artificial Intelligence & Technology (NASDAQ: AIQ). As of August 15, 65,600 shares had been borrowed, an increase of 68.6% compared to the 38,900 shares borrowed the day before. The current short interest ratio is 2.6 days, with an average daily volume of 25,200 shares traded in the market. This is based on the fact that the market sells stocks both ways. The first day of trading for AIQ shares took place on Friday and took place at a price of $22.07. The simple moving average of the company’s stock price over the past fifty days is $22.06 and the simple moving average for the previous 200 days is $23.70. The cost of the Global X Artificial Intelligence & Technology ETF hit a low of $20.27 last year, while it hit a high of $33.45 from a year earlier.

The company also announced that it would distribute a dividend semi-annually, and the compensation was paid on July 8 this year. On June 30, a dividend payment of $0.06 was paid to investors who were documented as owners of a holding company. This property has been registered in the books of the company. The ex-dividend day for this payment was June 29, a Wednesday. This dividend was paid quarterly. The previous distribution of a semi-annual dividend paid by the Global X Artificial Intelligence & Technology ETF was $0.01, which is an increase from this amount. In the most recent period, several institutional investors have engaged in buying and selling transactions involving company shares. An amount of $275,000 was contributed to the Global X Artificial Intelligence & Technology ETF by Financial Engines Advisors, LLC during the last three months of 2018.

Cambridge Investment Research Advisors Inc. increased the proportion of its holdings in the Global X Artificial Intelligence & Technology Exchange Traded Fund by 2.3% in the first three months of 2018. As a direct result of the recent purchase of 929 additional shares of the tech ETF over the previous three months, the value of Cambridge Investment Research Advisors Inc.’s holdings in the tech ETF soared to a total of $1,130,000. Finally, Daiwa Securities Group Inc. increased the proportion of its holdings allocated to the Global X Artificial Intelligence & Technology ETF by 9.4% in the first three months of 2018. During the last fiscal quarter, Daiwa Securities Group Inc. .increased its holdings in the tech ETF by buying an additional 100,000 shares, bringing the total number of shares they hold to 1,163,079. The total value of those shares is $31,415,000. A combined 27.02% of the company’s shares are held by institutional investors such as hedge funds and other financial organizations. The exchange-traded fund focused on artificial intelligence and technology offered by Global X

]]>