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CryptoQueen24
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Haussier
‼️‼️ here is why I am closely watching #NVIDIA earnings call TODAY ‼️💕 Nvidia's earnings report is expected to have a RIPPLE EFFECT on AI-related cryptocurrency projects such as Render Network (RNDR), Fetch.ai (FET), and SingularityNet (AGIX). 👇Here's why:👇 🎯Render Network (RNDR): As Nvidia's GPUs are crucial for rendering complex graphics, any positive news could boost confidence in projects like Render Network that rely on GPU processing power. 🎯Fetch.ai (FET): Nvidia's advancements in AI can enhance the capabilities of decentralized AI projects like Fetch.ai, potentially driving demand and increasing prices. 🎯SingularityNet (AGIX): As a platform that leverages AI for decentralized applications, SingularityNet could benefit from any advancements or positive sentiment in the AI sector driven by Nvidia’s performance 💸💸I will share historic developments in my next post 💸💸 #ArtificialInteligence #ETHETFS #AltcoinGains #BullRunAhead $ETH $RNDR $FET
‼️‼️ here is why I am closely watching #NVIDIA earnings call TODAY ‼️💕

Nvidia's earnings report is expected to have a RIPPLE EFFECT on AI-related cryptocurrency projects such as Render Network (RNDR), Fetch.ai (FET), and SingularityNet (AGIX).

👇Here's why:👇

🎯Render Network (RNDR): As Nvidia's GPUs are crucial for rendering complex graphics, any positive news could boost confidence in projects like Render Network that rely on GPU processing power.

🎯Fetch.ai (FET): Nvidia's advancements in AI can enhance the capabilities of decentralized AI projects like Fetch.ai, potentially driving demand and increasing prices.

🎯SingularityNet (AGIX): As a platform that leverages AI for decentralized applications, SingularityNet could benefit from any advancements or positive sentiment in the AI sector driven by Nvidia’s performance

💸💸I will share historic developments in my next post 💸💸
#ArtificialInteligence #ETHETFS #AltcoinGains #BullRunAhead $ETH $RNDR $FET
4 coins with potential to go 100x and more predicted by ai #ArtificialInteligence 1. Altura (ALU): Focused on NFTs and gaming. 2. Verasity (VRA): Concentrated on video and esports. 3. Efinity (EFI): A blockchain for NFTs developed by Enjin. 4. Star Atlas (ATLAS): A metaverse gaming project. Note: Always do your own research before making any decisions. #altcoins #BlackRock #buythedip #MicroStrategy
4 coins with potential to go 100x and more predicted by ai #ArtificialInteligence

1. Altura (ALU): Focused on NFTs and gaming.

2. Verasity (VRA): Concentrated on video and esports.

3. Efinity (EFI): A blockchain for NFTs developed by Enjin.

4. Star Atlas (ATLAS): A metaverse gaming project.

Note: Always do your own research before making any decisions.

#altcoins #BlackRock #buythedip #MicroStrategy
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Cryptopolitan
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What Impact Will AI Have on Drug Safety and Regulatory Practices?
Until now, the business rationale has been undermined by the sheer amount of labor needed to validate and bring intelligent automation systems up to full functionality for life sciences R&D purposes, such as transforming adverse event (AE) reporting. 

These obstacles are now being removed, and compliance is being strengthened by the LLMs (large language models) that drive generative artificial intelligence.

Pharma businesses may have a once-in-a-century chance with this AI technology—but only if they can scale it and deal with the particular difficulties faced by the sector.

What can be made possible?

Machine learning and large language models have made quick searches for new drugs possible, along with more effective clinical studies and faster clearances from regulators, which produces extremely focused marketing collateral. 

Nearly every aspect of the pharmaceutical sector is changing because of generative AI, which is also changing the norms of business operations and possibly unleashing billions of dollars in value.

Source: McKinsey.

According to estimates from the McKinsey Global Institute (MGI), the technology could bring in between $60 billion and $110 billion annually for the pharmaceutical and medical product industries. 

This is primarily because the technology can increase productivity by accelerating the process of finding compounds that could be new drugs, expediting the development and approval of those drugs, and enhancing their marketing.

The possibility lies in using “in context” learning, narrative extrapolation, and spontaneous data discovery in a way that regulators can understand. AI specialists at ArisGlobal, Ramesh Ramani and Ravikanth Valigari, discussed potential applications at a pharmaceutical manufacturer.

AI for efficient data transformation in drug safety

When large amounts of data are present in various formats and come from many sources, like in the case of safety monitoring, for example, it takes a lot of administrative work to compile any noteworthy discoveries and make them useful. 

Source: McKinsey.

This is where there is significant potential for process transformation offered by the most recent developments in machine learning and AI. Not only in terms of efficiency but also markedly increased accuracy—provided the software understands what it is searching for.

In order to close these gaps and make advanced automation a safe and dependable reality in important life sciences R&D processes—and importantly, without requiring constant, laborious oversight—LLMs, the vast data banks that GenAI tools refer to, and advanced natural language processing (NLP) techniques like retrieval-augmented generation (RAG) are now being applied. 

To put it simply, by enabling LLMs to combine confidential data with information that is accessible to the public, RAG makes it easier to fine-tune AI models by providing them with a larger knowledge base and context.

Improving data compilation through LLM-RAG solutions

The training burden has been the issue with ML solutions thus far. But now, a single technological solution can handle all variants of incoming with the help of LLMs, which eliminates the need to teach AI models or algorithms what to look out for and/or what something implies. 

When it comes to guiding an LLM through a standard operating procedure in plain English, RAG patterns can be quite helpful. This way, the system will be able to handle thousands of different forms without requiring unique settings for each one.

It has been demonstrated that applying LLM-RAG technology to change AE case input can result in efficiency gains of up to 65% and 90%+ data extraction quality and accuracy in early trials. It has an amazing potential impact. This very same system is currently exhibiting 80–85% consistency in the summaries it generates for safety case story development. And that’s without any past exposure, starting from scratch.

It does, in fact, provide the groundwork for pharmaceutical companies to significantly simplify some of their most difficult data-driven operations. 

Fears about compliance or dependability that earlier held back the adoption of smarter automation have given way to a strong desire to adopt new versions of the technology that directly address these issues and provide measurable improvements in productivity and efficiency.

“To build momentum for change, organizations should create teams of early-adopter champions to shape the deployment of generational AI use cases and prove their value.” McKinsey.
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Haussier
95% get it wrong! 5 Proven Benefits of #ArtificialInteligence or #AI in Crypto Trading and 5 Missteps to Avoid (Check the picture below). Join me for more insights on crypto trading & innovations and Follow to my Post and Article for exclusive tips to take your trading to new heights. (Click Follow) #TrendingTopic #BTC $BTC $ETH $BNB
95% get it wrong!

5 Proven Benefits of #ArtificialInteligence or #AI in Crypto Trading and 5 Missteps to Avoid (Check the picture below).

Join me for more insights on crypto trading & innovations and Follow to my Post and Article for exclusive tips to take your trading to new heights. (Click Follow)
#TrendingTopic #BTC $BTC $ETH $BNB
Swing Trader: Medium Volatility Stocks for Active Trading (TA&FA) This particular AI robot is well-suited for traders who prefer to trade stocks with medium volatility but want to avoid significant drawdowns during downtrends. To achieve this, the robot employs a pool of technical indicators focused on identifying uptrend reversal points, which allows for a balanced approach to short and long positions and helps to prevent prolonged drawdowns. Active traders who have enough time to monitor multiple trades simultaneously will find this robot most suitable. The average duration of a trade is 2 days, which enables efficient use of capital and prevents being tied up in a trade for an extended period. The robot uses a proprietary method developed by our team of quants to evaluate the strength and quality of momentum of the most active stocks in the US stock market to select stocks. A complex algorithm, including a pool of technical indicators processed using neural networks, determines the entry points to positions. Upon entering a trade, the robot places a fixed order "Take profit" at a level of 4-5% of the position opening price. To exit a position, the robot employs two options: a fixed stop-loss at 3% of the position opening price and a flexible trailing stop, which helps to retain most of the profits if the market reverses. The robot's trading results are displayed without using margin. For a complete trading statistics and equity chart, users can click on the "show more" button on the robot page. The "Open Trades" tab shows how the AI robot selects equities, enters, and exits paper trades in real-time. In the "Closed Trades" tab, users can review all previous trades made by the robot. #Tickeron #ArtificialInteligence #bot-trading #TechnicalAnalysis #TrendingTopic
Swing Trader: Medium Volatility Stocks for Active Trading (TA&FA)

This particular AI robot is well-suited for traders who prefer to trade stocks with medium volatility but want to avoid significant drawdowns during downtrends. To achieve this, the robot employs a pool of technical indicators focused on identifying uptrend reversal points, which allows for a balanced approach to short and long positions and helps to prevent prolonged drawdowns.
Active traders who have enough time to monitor multiple trades simultaneously will find this robot most suitable. The average duration of a trade is 2 days, which enables efficient use of capital and prevents being tied up in a trade for an extended period.
The robot uses a proprietary method developed by our team of quants to evaluate the strength and quality of momentum of the most active stocks in the US stock market to select stocks. A complex algorithm, including a pool of technical indicators processed using neural networks, determines the entry points to positions.
Upon entering a trade, the robot places a fixed order "Take profit" at a level of 4-5% of the position opening price. To exit a position, the robot employs two options: a fixed stop-loss at 3% of the position opening price and a flexible trailing stop, which helps to retain most of the profits if the market reverses.
The robot's trading results are displayed without using margin. For a complete trading statistics and equity chart, users can click on the "show more" button on the robot page. The "Open Trades" tab shows how the AI robot selects equities, enters, and exits paper trades in real-time. In the "Closed Trades" tab, users can review all previous trades made by the robot.

#Tickeron #ArtificialInteligence #bot-trading #TechnicalAnalysis #TrendingTopic
Mashallah not a bad reviews for the first post we make😅 BUT ANYWAYS that makes me sure that there is people who wants to know more about our company and our smart Trading AI, so wait for me in the next hours I will post another post specifically about EARN.WORLD achievements and what they had done in the past years.😎✨ #investment #ArtificialInteligence
Mashallah not a bad reviews for the first post we make😅 BUT ANYWAYS that makes me sure that there is people who wants to know more about our company and our smart Trading AI, so wait for me in the next hours I will post another post specifically about EARN.WORLD achievements and what they had done in the past years.😎✨
#investment #ArtificialInteligence
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Sadester to success
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Get ready for your ONLY Chance to the best investment that ever exist🎁😎!

EARN.WORLD:POWERED BY AI(artificial intelligent). MONITORED BY HUMANS😯‼️

first of all let me introduce myself for all of the members who read this. I am Saad known as Sadester and have the experience of investing and trading for months now.🙋‍♂️

I have managed to get a perfect profit from investing in EARN.WORLD Trading AI with a small budget and ✨YOU✨ can do the same thing also and I will help you with it step by step.

our trading AI is able to make around 8-12% per month from your budget.✅

for example if your started with 1000$ you will be able to gain 80-120$ per month without doing anything it's all done by our Artificial intelligent.‼️

if you wanted to know more about our platform and our trading AI and start a good investment with us comment the word "EARN" so I know that people really wants to know about our successful project🥺💜
#investment #ArtificialInteligence
Best AI Tools to convert a text into an image 😵‍💫🧠 * Athka pro * Adobe Firefly * Microsoft Designer * Canva Al * Bing Al *aiareenai * Blue Willow * Midjourney * Synthesis X * Deep Dream * Scribble Diffusion * Starry Al * Deep Al * Leonardo AI *poe-chat-online * Ideogram * Mage Space * lexica follow me to learn more : 🫡♥️ #ArtificialInteligence #TrendingTopic #Aipump
Best AI Tools to convert a text into an image 😵‍💫🧠

* Athka pro

* Adobe Firefly

* Microsoft Designer

* Canva Al

* Bing Al

*aiareenai

* Blue Willow

* Midjourney

* Synthesis X

* Deep Dream

* Scribble Diffusion

* Starry Al

* Deep Al

* Leonardo AI

*poe-chat-online

* Ideogram

* Mage Space

* lexica

follow me to learn more : 🫡♥️
#ArtificialInteligence #TrendingTopic #Aipump
Get ready for your ONLY Chance to the best investment that ever exist🎁😎! EARN.WORLD:POWERED BY AI(artificial intelligent). MONITORED BY HUMANS😯‼️ first of all let me introduce myself for all of the members who read this. I am Saad known as Sadester and have the experience of investing and trading for months now.🙋‍♂️ I have managed to get a perfect profit from investing in EARN.WORLD Trading AI with a small budget and ✨YOU✨ can do the same thing also and I will help you with it step by step. our trading AI is able to make around 8-12% per month from your budget.✅ for example if your started with 1000$ you will be able to gain 80-120$ per month without doing anything it's all done by our Artificial intelligent.‼️ if you wanted to know more about our platform and our trading AI and start a good investment with us comment the word "EARN" so I know that people really wants to know about our successful project🥺💜 #investment #ArtificialInteligence
Get ready for your ONLY Chance to the best investment that ever exist🎁😎!

EARN.WORLD:POWERED BY AI(artificial intelligent). MONITORED BY HUMANS😯‼️

first of all let me introduce myself for all of the members who read this. I am Saad known as Sadester and have the experience of investing and trading for months now.🙋‍♂️

I have managed to get a perfect profit from investing in EARN.WORLD Trading AI with a small budget and ✨YOU✨ can do the same thing also and I will help you with it step by step.

our trading AI is able to make around 8-12% per month from your budget.✅

for example if your started with 1000$ you will be able to gain 80-120$ per month without doing anything it's all done by our Artificial intelligent.‼️

if you wanted to know more about our platform and our trading AI and start a good investment with us comment the word "EARN" so I know that people really wants to know about our successful project🥺💜
#investment #ArtificialInteligence
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Baissier
Have you noticed a sudden sharp drop in single wick 😱 Average 10% dip across the market within a span of 5 minutes and enough to liquidate people had 10x and above leverage. This is why i always encourage my followers to control their greed, don't use high leverage and trade only in spot. You can't exclude pullbacks from the market and bull market pullback are sharp and deep enough to liquidate your high leverage position in minutes and the market just gave you a DEMO. #TrendingTopic #Write2Earn‬ #Manipulation $BTC $BNB $AGIX #ArtificialInteligence
Have you noticed a sudden sharp drop in single wick 😱

Average 10% dip across the market within a span of 5 minutes and enough to liquidate people had 10x and above leverage.

This is why i always encourage my followers to control their greed, don't use high leverage and trade only in spot.

You can't exclude pullbacks from the market and bull market pullback are sharp and deep enough to liquidate your high leverage position in minutes and the market just gave you a DEMO.

#TrendingTopic #Write2Earn‬ #Manipulation

$BTC $BNB $AGIX #ArtificialInteligence
Is It Too Late to Invest in Artificial Intelligence Projects?Artificial intelligence technologies are improving day by day. Following ChatGPT, this technology has become even more significant, sparking a competition that will greatly benefit those of us who believe in this technology and have invested in it. The announcement of Sora by OpenAI in recent days led to significant gains for cryptocurrencies in the AI field. Following this development, Nvidia, set to be one of the major power providers in the field of artificial intelligence, continued this upward trend with its earnings surpassing expectations. We Are Just at the Beginning of AI Technologies Despite the significant gains in recent times, we are still at the early stages of AI technologies. This technology has already started to fascinate us, yet we can see there is still a long way to go. Below are future predictions about the market size of AI technologies from different sources. According to Statista, the value of the artificial intelligence market is expected to reach approximately two trillion US dollars by 2030, nearly twenty times its current value. With a value of about 100 billion US dollars as of 2023, this indicates significant growth potential. In the MarketsandMarkets Report, the size of the global artificial intelligence market was valued at 150.2 billion US dollars in 2023 and is expected to grow at an annual growth rate of 36.8% until 2030. According to Bloomberg Intelligence, generative artificial intelligence is expected to create a market worth 1.3 trillion US dollars by 2032, with this new industry expected to grow at an annual rate of 44.5%. Looking at all these reports, research, and analyses, we can see that we are still at a very early stage of AI technologies. As indicated by the Nvidia CEO in the image above, this field is as significant a revolutionary area as computers and the internet. It will shape our entire lives. #Write2Earn‬ #AI #ArtificialInteligence $FET $RNDR $AGIX

Is It Too Late to Invest in Artificial Intelligence Projects?

Artificial intelligence technologies are improving day by day. Following ChatGPT, this technology has become even more significant, sparking a competition that will greatly benefit those of us who believe in this technology and have invested in it.
The announcement of Sora by OpenAI in recent days led to significant gains for cryptocurrencies in the AI field. Following this development, Nvidia, set to be one of the major power providers in the field of artificial intelligence, continued this upward trend with its earnings surpassing expectations.

We Are Just at the Beginning of AI Technologies
Despite the significant gains in recent times, we are still at the early stages of AI technologies. This technology has already started to fascinate us, yet we can see there is still a long way to go. Below are future predictions about the market size of AI technologies from different sources.
According to Statista, the value of the artificial intelligence market is expected to reach approximately two trillion US dollars by 2030, nearly twenty times its current value. With a value of about 100 billion US dollars as of 2023, this indicates significant growth potential.
In the MarketsandMarkets Report, the size of the global artificial intelligence market was valued at 150.2 billion US dollars in 2023 and is expected to grow at an annual growth rate of 36.8% until 2030.
According to Bloomberg Intelligence, generative artificial intelligence is expected to create a market worth 1.3 trillion US dollars by 2032, with this new industry expected to grow at an annual rate of 44.5%.

Looking at all these reports, research, and analyses, we can see that we are still at a very early stage of AI technologies. As indicated by the Nvidia CEO in the image above, this field is as significant a revolutionary area as computers and the internet. It will shape our entire lives. #Write2Earn‬ #AI #ArtificialInteligence
$FET $RNDR $AGIX
🌐 Artificial Superintelligence Alliance (ASI): SingularityNET (AGIX), Fetch ai (FET), and Ocean Protocol (OCEAN) have collaborated to create the ASI token, consolidating their tokens. 🔗 Interoperability: The ASI token will operate across multiple blockchains, including Cardano, Ethereum, Fetch’s Layer-1, and Hypercycle. 💰 Valuation: The ASI token is estimated to be worth $7.5 billion. 👥 Governing Council: Key figures from the organizations will oversee the common ecosystem. 🌟 Independence: Despite the merger, the organizations will continue to operate independently. 🗳️ Voting Process: Scheduled from April 2 to April 7. #BlockchainTechnology #CryptocurrencyInvestment #ArtificialInteligence #agix #Write2Earn
🌐 Artificial Superintelligence Alliance (ASI): SingularityNET (AGIX), Fetch ai (FET), and Ocean Protocol (OCEAN) have collaborated to create the ASI token, consolidating their tokens.

🔗 Interoperability: The ASI token will operate across multiple blockchains, including Cardano, Ethereum, Fetch’s Layer-1, and Hypercycle.

💰 Valuation: The ASI token is estimated to be worth $7.5 billion.

👥 Governing Council: Key figures from the organizations will oversee the common ecosystem.

🌟 Independence: Despite the merger, the organizations will continue to operate independently.

🗳️ Voting Process: Scheduled from April 2 to April 7.
#BlockchainTechnology #CryptocurrencyInvestment #ArtificialInteligence #agix #Write2Earn
Meta and AI: How Does The Company Plan To Fight Disinformation?The rapid development of artificial intelligence has long been a cause for concern in various fields. The film and animation industry has been on strike for a year now due to the uncertainty of the impact of artificial intelligence on their work and safety. While the entertainment industry is the most concerned about the possible impact of AI on their work, other sectors, such as politics, have also begun to voice their concerns. Due to fears that artificial intelligence could be used to disrupt elections, Meta will create a team to combat disinformation and misuse of AI during the EU elections. Meta And Their Disinformation Plan Meta has unveiled a plan to create a special team to combat disinformation and harm caused by artificial intelligence (AI) ahead of the European Parliament elections. The company believes that due to the rapid development of the technology and its ability to generate text, images, and videos in seconds in response to requests, AI can interfere in elections by creating misleading content. Marco Pancini, Head of EU Affairs at Meta, said that the “EU Election Operations Center” will bring together experts from across the company to focus on combating disinformation, influence operations, and the risks associated with the misuse of artificial intelligence. “Ahead of the elections period, we will make it easier for all our fact-checking partners across the EU to find and rate content related to the elections because we recognize that speed is especially important during breaking news events. We’ll use keyword detection to group related content in one place, making it easy for fact-checkers to find.” — said Pancini. The head emphasized that the company’s efforts to eliminate risks will also include the addition of a feature for labeling AI-generated content. People will add a special mark to show that audio or video is generated by artificial intelligence. In case of non-compliance with this rule, Meta will impose fines. Earlier in February, Meta teamed up with other tech companies to sign an agreement to combat AI interference in elections. “Since AI-generated content appears across the internet, we’ve also been working with other companies in our industry on common standards and guidelines. We’re a member of the Partnership on AI, for example, and we recently signed on to the tech accord designed to combat the spread of deceptive AI content in the 2024 elections. This work is bigger than any one company & will require a huge effort across industry, government, & civil society.” he remarked. The influence of AI has already been the subject of attention during several elections. Former Pakistani Prime Minister Imran Khan used AI to deliver a victory speech in prison. With the help of this technology, Khan created a stand-in to deliver the message to his supporters. And in January, a fake automated call imitating Joe Biden’s voice urged voters not to participate in early voting. Controversial Position Of Influential People Elon Musk, the CEO of Tesla Inc, has long been known for his open support of the neural network. The investor believes that AI will increase efficiency in various spheres of life, minimize human errors, and automate routine tasks, allowing people to focus on more complex tasks. In addition, Musk has been involved in the development of artificial intelligence through his companies and launched his own AI startup called xAI. He has also repeatedly financially supported projects that use artificial intelligence. However, even such an ardent supporter of artificial intelligence technology expresses concerns about its impact on society. Musk advocates the need to regulate artificial intelligence. He has expressed concern about the risks that artificial intelligence poses to humanity, suggesting that AI could be more dangerous than nuclear weapons. Recently, an investor even filed a lawsuit against OpenAI and its CEO Sam Altman. He believes that they are allegedly developing general artificial intelligence (AGI) technology to increase Microsoft’s profits, not for the benefit of humanity. Musk calls on the company to return to open-source AGI and prohibit OpenAI from making money on this technology. Elon Musk is not the only one who is concerned about artificial intelligence technologies. Vitalik Buterin, the founder of the Ethereum blockchain, believes that the combination of artificial intelligence and cryptocurrencies has several advantages. In January, he published an article on the prospects and problems of such a combination, referring to the intersection of technologies and adding all the pros and cons of each area. Moreover, Buterin recently shared his experience of using AI. He described the successful integration of AI into the Ethereum blockchain to fix technical errors in the code base. Although the expert is optimistic about the combination of AI and blockchain, he also warns of potential problems with the balance between cryptographic transparency and the vulnerability of AI systems. “In cryptography, open source is the only way to make something truly secure, but in AI, a model (or even its training data) being open greatly increases its vulnerability to adversarial machine learning attacks.”, said Buterin. AI In The Modern World Although most people still have a negative attitude toward artificial intelligence, AI technologies have been used in various fields for quite some time. Here are some of the most well-known applications of AI: AI technologies, such as machine learning and visual perception systems, are used in autonomous cars to recognize and navigate the environment;Used in manufacturing for quality control, logistics process optimization, and robotics;It plays an important role in medicine, helping to make diagnoses, personalize treatment plans, find medicines, and much more;Used in finance for fraud detection, algorithmic trading, and risk assessment;Artificial intelligence technologies are an integral part of robotics for tasks such as object recognition, route guidance, and autonomous navigation. Artificial intelligence technologies make people’s lives easier by allowing them to perform repetitive tasks in the manufacturing sector. This allows employees to focus on more complex tasks. In addition, artificial intelligence makes it possible to personalize product recommendations. AI helps businesses in marketing and commerce by providing personalized recommendations that can improve the customer experience. How Do Crypto Exchanges Integrate AI Technologies? Numerous companies are using artificial intelligence (AI) in various areas of their industry. For example: WhiteBIT, one of the largest crypto exchanges in Europe, as an innovative company, actively uses and integrates artificial intelligence into all areas of their business. They are also constantly actively collaborating with AI blockchains. For example, they recently announced that on their exchange, $USDT and $USDC are now available on NEARProtocol. WhiteBIT added that thanks to this integration, withdrawing stablecoins via Near Protocol has become free. Kraken is using artificial intelligence in various ways to improve its operations in the crypto industry. Their new CTO Vishnu Pathankar emphasizes the growing importance of artificial intelligence (AI) in the crypto industry. In addition, the exchange offers OTC trading services for Fetch.ai (FET) through its OTC service and provides a trading API for algorithmic trading of Fetch.ai orders. Coinbase uses artificial intelligence technology in a variety of ways to improve its operations and security measures in the cryptocurrency sector. They use AI, specifically Amazon Web Services (AWS) tools, to effectively fight fraud on their platform. In addition, the exchange has partnered with Coinrule, a platform that offers automated strategies for the digital asset market. This collaboration offers advanced trading tools and strategies to expand investment portfolios Summary Artificial intelligence has become an important aspect that can fundamentally change the industry and help solve complex problems. Modern technologies make AI not only a tool for improving algorithms but also a part of human life. It is only a matter of time before AI technologies become a mandatory requirement for businesses and other industries. So it’s time to start learning more about artificial intelligence and how to use it in your area of life. #News #MetaAIRevolution #ArtificialInteligence #NEARProtocol $NEAR

Meta and AI: How Does The Company Plan To Fight Disinformation?

The rapid development of artificial intelligence has long been a cause for concern in various fields. The film and animation industry has been on strike for a year now due to the uncertainty of the impact of artificial intelligence on their work and safety. While the entertainment industry is the most concerned about the possible impact of AI on their work, other sectors, such as politics, have also begun to voice their concerns.
Due to fears that artificial intelligence could be used to disrupt elections, Meta will create a team to combat disinformation and misuse of AI during the EU elections.
Meta And Their Disinformation Plan
Meta has unveiled a plan to create a special team to combat disinformation and harm caused by artificial intelligence (AI) ahead of the European Parliament elections.
The company believes that due to the rapid development of the technology and its ability to generate text, images, and videos in seconds in response to requests, AI can interfere in elections by creating misleading content.
Marco Pancini, Head of EU Affairs at Meta, said that the “EU Election Operations Center” will bring together experts from across the company to focus on combating disinformation, influence operations, and the risks associated with the misuse of artificial intelligence.
“Ahead of the elections period, we will make it easier for all our fact-checking partners across the EU to find and rate content related to the elections because we recognize that speed is especially important during breaking news events. We’ll use keyword detection to group related content in one place, making it easy for fact-checkers to find.” — said Pancini.
The head emphasized that the company’s efforts to eliminate risks will also include the addition of a feature for labeling AI-generated content. People will add a special mark to show that audio or video is generated by artificial intelligence. In case of non-compliance with this rule, Meta will impose fines.
Earlier in February, Meta teamed up with other tech companies to sign an agreement to combat AI interference in elections.
“Since AI-generated content appears across the internet, we’ve also been working with other companies in our industry on common standards and guidelines. We’re a member of the Partnership on AI, for example, and we recently signed on to the tech accord designed to combat the spread of deceptive AI content in the 2024 elections. This work is bigger than any one company & will require a huge effort across industry, government, & civil society.” he remarked.
The influence of AI has already been the subject of attention during several elections.
Former Pakistani Prime Minister Imran Khan used AI to deliver a victory speech in prison. With the help of this technology, Khan created a stand-in to deliver the message to his supporters.
And in January, a fake automated call imitating Joe Biden’s voice urged voters not to participate in early voting.
Controversial Position Of Influential People
Elon Musk, the CEO of Tesla Inc, has long been known for his open support of the neural network. The investor believes that AI will increase efficiency in various spheres of life, minimize human errors, and automate routine tasks, allowing people to focus on more complex tasks. In addition, Musk has been involved in the development of artificial intelligence through his companies and launched his own AI startup called xAI. He has also repeatedly financially supported projects that use artificial intelligence.
However, even such an ardent supporter of artificial intelligence technology expresses concerns about its impact on society. Musk advocates the need to regulate artificial intelligence. He has expressed concern about the risks that artificial intelligence poses to humanity, suggesting that AI could be more dangerous than nuclear weapons.
Recently, an investor even filed a lawsuit against OpenAI and its CEO Sam Altman. He believes that they are allegedly developing general artificial intelligence (AGI) technology to increase Microsoft’s profits, not for the benefit of humanity. Musk calls on the company to return to open-source AGI and prohibit OpenAI from making money on this technology.
Elon Musk is not the only one who is concerned about artificial intelligence technologies. Vitalik Buterin, the founder of the Ethereum blockchain, believes that the combination of artificial intelligence and cryptocurrencies has several advantages.
In January, he published an article on the prospects and problems of such a combination, referring to the intersection of technologies and adding all the pros and cons of each area. Moreover, Buterin recently shared his experience of using AI. He described the successful integration of AI into the Ethereum blockchain to fix technical errors in the code base.
Although the expert is optimistic about the combination of AI and blockchain, he also warns of potential problems with the balance between cryptographic transparency and the vulnerability of AI systems.
“In cryptography, open source is the only way to make something truly secure, but in AI, a model (or even its training data) being open greatly increases its vulnerability to adversarial machine learning attacks.”, said Buterin.
AI In The Modern World
Although most people still have a negative attitude toward artificial intelligence, AI technologies have been used in various fields for quite some time. Here are some of the most well-known applications of AI:
AI technologies, such as machine learning and visual perception systems, are used in autonomous cars to recognize and navigate the environment;Used in manufacturing for quality control, logistics process optimization, and robotics;It plays an important role in medicine, helping to make diagnoses, personalize treatment plans, find medicines, and much more;Used in finance for fraud detection, algorithmic trading, and risk assessment;Artificial intelligence technologies are an integral part of robotics for tasks such as object recognition, route guidance, and autonomous navigation.
Artificial intelligence technologies make people’s lives easier by allowing them to perform repetitive tasks in the manufacturing sector. This allows employees to focus on more complex tasks. In addition, artificial intelligence makes it possible to personalize product recommendations. AI helps businesses in marketing and commerce by providing personalized recommendations that can improve the customer experience.
How Do Crypto Exchanges Integrate AI Technologies?
Numerous companies are using artificial intelligence (AI) in various areas of their industry. For example:
WhiteBIT, one of the largest crypto exchanges in Europe, as an innovative company, actively uses and integrates artificial intelligence into all areas of their business. They are also constantly actively collaborating with AI blockchains.
For example, they recently announced that on their exchange, $USDT and $USDC are now available on NEARProtocol. WhiteBIT added that thanks to this integration, withdrawing stablecoins via Near Protocol has become free.
Kraken is using artificial intelligence in various ways to improve its operations in the crypto industry. Their new CTO Vishnu Pathankar emphasizes the growing importance of artificial intelligence (AI) in the crypto industry. In addition, the exchange offers OTC trading services for Fetch.ai (FET) through its OTC service and provides a trading API for algorithmic trading of Fetch.ai orders.
Coinbase uses artificial intelligence technology in a variety of ways to improve its operations and security measures in the cryptocurrency sector. They use AI, specifically Amazon Web Services (AWS) tools, to effectively fight fraud on their platform. In addition, the exchange has partnered with Coinrule, a platform that offers automated strategies for the digital asset market. This collaboration offers advanced trading tools and strategies to expand investment portfolios
Summary
Artificial intelligence has become an important aspect that can fundamentally change the industry and help solve complex problems. Modern technologies make AI not only a tool for improving algorithms but also a part of human life. It is only a matter of time before AI technologies become a mandatory requirement for businesses and other industries. So it’s time to start learning more about artificial intelligence and how to use it in your area of life.
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Unlocking the Future of Data Analytics and Forensics with bitsCrunch In the fast-paced world of decentralized finance (DeFi) and Non-Fungible Tokens (NFTs), reliable data analytics and forensic protocols are essential for informed decision-making and risk management. Enter bitsCrunch, a groundbreaking platform that harnesses the power of AI to revolutionize data analytics and forensic protocols in the crypto space. AI-Powered Insights At the heart of bitsCrunch lies its AI-enhanced data analytics capabilities. Leveraging advanced machine learning algorithms, bitsCrunch can analyze vast amounts of blockchain data in real-time, providing users with actionable insights into market trends, trading patterns, and asset valuations. Whether you're a seasoned investor or a newcomer to the crypto space, bitsCrunch's AI-powered insights empower you to make informed decisions with confidence. Decentralized Data Governance In addition to its AI capabilities, bitsCrunch prioritizes decentralized data governance, ensuring the integrity and security of user data. By leveraging blockchain technology, bitsCrunch eliminates the need for centralized intermediaries, giving users full control over their data while maintaining transparency and immutability. This decentralized approach not only enhances data security but also fosters trust and accountability within the bitsCrunch ecosystem. Forensic Protocols for Risk Mitigation One of the key features of bitsCrunch is its robust forensic protocols, designed to detect and prevent fraudulent activities in the crypto space. Through advanced forensic analysis, bitsCrunch can identify suspicious transactions, wash trading patterns, and other illicit activities, helping users mitigate risks and protect their investments. By leveraging AI-driven forensic protocols, bitsCrunch sets a new standard for security and trust in the crypto industry. #Write2Erarn #BCUT #HotTrends #ArtificialInteligence
Unlocking the Future of Data Analytics and Forensics with bitsCrunch

In the fast-paced world of decentralized finance (DeFi) and Non-Fungible Tokens (NFTs), reliable data analytics and forensic protocols are essential for informed decision-making and risk management. Enter bitsCrunch, a groundbreaking platform that harnesses the power of AI to revolutionize data analytics and forensic protocols in the crypto space.

AI-Powered Insights

At the heart of bitsCrunch lies its AI-enhanced data analytics capabilities. Leveraging advanced machine learning algorithms, bitsCrunch can analyze vast amounts of blockchain data in real-time, providing users with actionable insights into market trends, trading patterns, and asset valuations. Whether you're a seasoned investor or a newcomer to the crypto space, bitsCrunch's AI-powered insights empower you to make informed decisions with confidence.

Decentralized Data Governance

In addition to its AI capabilities, bitsCrunch prioritizes decentralized data governance, ensuring the integrity and security of user data. By leveraging blockchain technology, bitsCrunch eliminates the need for centralized intermediaries, giving users full control over their data while maintaining transparency and immutability. This decentralized approach not only enhances data security but also fosters trust and accountability within the bitsCrunch ecosystem.

Forensic Protocols for Risk Mitigation

One of the key features of bitsCrunch is its robust forensic protocols, designed to detect and prevent fraudulent activities in the crypto space. Through advanced forensic analysis, bitsCrunch can identify suspicious transactions, wash trading patterns, and other illicit activities, helping users mitigate risks and protect their investments. By leveraging AI-driven forensic protocols, bitsCrunch sets a new standard for security and trust in the crypto industry.

#Write2Erarn #BCUT #HotTrends #ArtificialInteligence
Unveiling the Power of AI in Cryptocurrency: Revolutionizing the Financial LandscapeIn the ever-evolving realm of finance, the convergence of artificial intelligence (AI) and cryptocurrency has sparked a revolution. From enhancing trading strategies to optimizing security measures, AI is reshaping the landscape of digital currencies in profound ways. 1. Trading Strategies Enhanced by AI AI algorithms have become indispensable tools for cryptocurrency traders, enabling them to analyze vast amounts of data and identify profitable opportunities in real-time. One notable example is Gekko, an open-source trading bot that utilizes machine learning algorithms to analyze market trends and execute trades automatically on behalf of users. Gekko allows traders to backtest their strategies using historical data and optimize their trading performance based on AI-driven insights. 2. Predictive Analytics and Market Forecasting One of the most significant applications of AI in cryptocurrency is predictive analytics. By analyzing historical data and market trends, AI algorithms can forecast future price movements with a high degree of accuracy. Numerai, a hedge fund built on blockchain and AI technologies, leverages the collective intelligence of data scientists around the world to develop predictive models for cryptocurrency markets. Through its decentralized platform, Numerai incentivizes data scientists to contribute their predictive algorithms and compete for rewards based on the performance of their models. 3. Security and Fraud Detection The decentralized nature of cryptocurrencies presents unique challenges in terms of security and fraud prevention. However, AI technologies are increasingly being deployed to enhance security measures and combat fraudulent activities within the cryptocurrency ecosystem. CipherTrace, a leading provider of cryptocurrency intelligence solutions, utilizes AI algorithms to trace and monitor cryptocurrency transactions in real-time, helping businesses and regulatory authorities identify illicit activities such as money laundering and terrorist financing. 4. Regulatory Compliance and Risk Management As the cryptocurrency market continues to evolve, regulatory compliance and risk management have become paramount concerns for industry stakeholders. AI-powered solutions can assist companies in navigating complex regulatory frameworks and ensuring compliance with legal requirements. ComplyAdvantage, an AI-driven risk management platform, helps cryptocurrency exchanges and financial institutions detect and prevent financial crime by analyzing transactional data and screening customers against global watchlists and sanctions databases. 5. Conclusion In conclusion, the integration of AI into the cryptocurrency ecosystem is revolutionizing the way digital currencies are traded, secured, and managed. From enhancing trading strategies to bolstering security measures, AI technologies are empowering stakeholders to unlock new opportunities and navigate the complexities of the digital economy. As the adoption of cryptocurrencies continues to accelerate, the role of AI will undoubtedly become even more pronounced, driving innovation and transformation across the financial landscape. By harnessing the power of AI, individuals and organizations can navigate the volatile terrain of cryptocurrency with confidence and foresight, ushering in a new era of prosperity and possibility. #ArtificialInteligence #AI #ChatGPT. #BinanceSquareCreator $BTC $ETH $RNDR

Unveiling the Power of AI in Cryptocurrency: Revolutionizing the Financial Landscape

In the ever-evolving realm of finance, the convergence of artificial intelligence (AI) and cryptocurrency has sparked a revolution. From enhancing trading strategies to optimizing security measures, AI is reshaping the landscape of digital currencies in profound ways.
1. Trading Strategies Enhanced by AI
AI algorithms have become indispensable tools for cryptocurrency traders, enabling them to analyze vast amounts of data and identify profitable opportunities in real-time. One notable example is Gekko, an open-source trading bot that utilizes machine learning algorithms to analyze market trends and execute trades automatically on behalf of users. Gekko allows traders to backtest their strategies using historical data and optimize their trading performance based on AI-driven insights.
2. Predictive Analytics and Market Forecasting
One of the most significant applications of AI in cryptocurrency is predictive analytics. By analyzing historical data and market trends, AI algorithms can forecast future price movements with a high degree of accuracy. Numerai, a hedge fund built on blockchain and AI technologies, leverages the collective intelligence of data scientists around the world to develop predictive models for cryptocurrency markets. Through its decentralized platform, Numerai incentivizes data scientists to contribute their predictive algorithms and compete for rewards based on the performance of their models.
3. Security and Fraud Detection
The decentralized nature of cryptocurrencies presents unique challenges in terms of security and fraud prevention. However, AI technologies are increasingly being deployed to enhance security measures and combat fraudulent activities within the cryptocurrency ecosystem. CipherTrace, a leading provider of cryptocurrency intelligence solutions, utilizes AI algorithms to trace and monitor cryptocurrency transactions in real-time, helping businesses and regulatory authorities identify illicit activities such as money laundering and terrorist financing.
4. Regulatory Compliance and Risk Management
As the cryptocurrency market continues to evolve, regulatory compliance and risk management have become paramount concerns for industry stakeholders. AI-powered solutions can assist companies in navigating complex regulatory frameworks and ensuring compliance with legal requirements. ComplyAdvantage, an AI-driven risk management platform, helps cryptocurrency exchanges and financial institutions detect and prevent financial crime by analyzing transactional data and screening customers against global watchlists and sanctions databases.
5. Conclusion
In conclusion, the integration of AI into the cryptocurrency ecosystem is revolutionizing the way digital currencies are traded, secured, and managed. From enhancing trading strategies to bolstering security measures, AI technologies are empowering stakeholders to unlock new opportunities and navigate the complexities of the digital economy.
As the adoption of cryptocurrencies continues to accelerate, the role of AI will undoubtedly become even more pronounced, driving innovation and transformation across the financial landscape. By harnessing the power of AI, individuals and organizations can navigate the volatile terrain of cryptocurrency with confidence and foresight, ushering in a new era of prosperity and possibility.

#ArtificialInteligence #AI #ChatGPT. #BinanceSquareCreator $BTC $ETH $RNDR
Najbliższą przyszłość świata sztucznej inteligencji zostanie nakreślona już 18 marca Nie przegap szansy udziału w konferencji GTC NVIDIA $AI $XAI $BTC #Write2Earn #ArtificialInteligence
Najbliższą przyszłość świata sztucznej inteligencji zostanie nakreślona już 18 marca

Nie przegap szansy udziału w konferencji GTC NVIDIA

$AI $XAI $BTC #Write2Earn #ArtificialInteligence
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