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NEW YORK, NY, May 11, 2023 (GLOBE NEWSWIRE) — BlockGPT, a groundbreaking web 3.0 AI initiative, is thrilled to announce its innovative project that combines advanced artificial intelligence (AI) with the power of blockchain technology. BlockGPT aims to create a chatbot with a more human touch and to achieve this goal, it relies on the participation and contributions of its community members. The project utilizes a governance token called BlockGPT (BGPT) to incentivize individuals who provide valuable questions and data, fostering an engaged and knowledgeable community. With the integration of blockchain technology, BlockGPT operates in a decentralized manner, ensuring transparency, security, and limitless potential.
“We are excited to introduce our innovative chatbot platform, powered by blockchain technology and governed by BGPT,” said a BlockGPT spokesperson. “We believe that our platform will revolutionize the way people interact with AI chatbots and enable more natural, human-like conversations. Our governance token, BGPT, is a key component of our platform, enabling community participation and decision-making. We look forward to seeing the platform grow and thrive.”
$AIBGPT is a token for community-based governance that BlockGPT AI created using the Solidity contract and introduced on the Binance Smart Chain network. The purpose of $AIBGPT is to encourage community involvement in the project’s governance and decision-making procedures.
Similar to other MEME coins, $AIBGPT can be distributed for free through airdrops, and any unclaimed tokens will be burned. Both $AIBGPT and $BGPT hold value in relation to each other. If $BGPT successfully completes the first round of presale, its price will be set at 0.0000077, the lowest price during the initial two rounds of pre-sale. Moreover, 1,000 units of $AIBGPT can be exchanged for 1 unit of $BGPT. The BlockGPT white paper confirms that there are 1 billion $BGPT reserved as collateral for $AIBGPT, as supported by the economic model and block browser data. If the price of $AIBGPT rises too high, holders can swap their $BGPT for $AIBGPT, and vice versa if the price of $BGPT becomes too high. This mutually supportive economic model ensures that the prices of $AIBGPT and $BGPT are intertwined.
A Deep Dive into BlockGPT Ecosystem
BlockGPT is the AI language model of blockchain and group chat. With the technology of blockchain, BlockGPT can use the solidity language to develop smart contracts. Also, the famous person’s one-by-one chat system is one of the features. BlockGPT is trained and has the logic of a natural person. But our team is wishing to collect more information and knowledge to motivate BlockGPT. Group chat is multiplayer; users can chat with others in this mode, and BlockGPT can join Group Chat as the associator.
BlockGPT’s no-code smart contract generator, smart-contract auditor, code debugger, code-to-words, documentation creator, chart analysis & technical analysis, AML features, blockchain analytics, on-chain live data, source of news, and much more, all run on blockchain technology. With the blockchain-based design, all users have unrestricted access to these powerful features, regardless of their location or legal jurisdiction.
One of the key differences between BlockGPT and ChatGPT is that BlockGPT can pull real-time data, crypto prices, the latest news, and research to stay up-to-date with accurate information. ChatGPT, on the other hand, is limited without an internet connection and has only been trained with approximately 1% of available information on crypto and blockchain, potentially leading to inaccurate information.
BlockGPT NFT is a unique representation of BlockGPT’s identity and rights within the community. This Non-Fungible Token (NFT) plays a vital role in the community as it acts as a symbol of ownership and provides access to various features and services. In the future, BlockGPT plans to delve into the realm of the Web 3.0 virtual artificial intelligence world. This virtual world is entirely created and governed by users, where BlockGPT NFT can serve as an assistant to users and facilitate trade between them while adhering to the rules of the Binance Smart Chain (BSC) network.
Chat To Earn (Reward System)
BlockGPT’s new chatbot with a more human-like touch has the potential to revolutionize the way people interact with AI technology. The pre-sale for BGPT is a unique opportunity to participate in this groundbreaking project and contribute to its success.
The Rule of Chat To Earn:
- Participants’ degree of contribution will be evaluated.
- Winners must fill in their BSC address to claim their rewards.
- NFT reward is BlockGPT’s exclusive NFT blind box.
- The airdrop of rewards will be completed 48 hours before the NFT release, and currency rewards will be airdropped 7 days after the sale.
Tokenomics and Presale
BGPT is the governance currency on the BlockGPT platform and is designed to be used for community management and voting. The holding ratio of BGPT determines different levels of permission granted to users, and users who participate in voting receive their BGPT back immediately after the voting ends, while non-participants have 1% of their BGPT holdings destroyed. Investing in liquidity pools is also a way to increase the value of BGPT, which benefits both the platform and its users.
BlockGPT has launched a presale for BGPT tokens, consisting of three rounds with specific fundraising goals. The first two rounds successfully raised 350BNB and 400BNB, respectively, and the third round will commence once the previous round’s goal is achieved. The presale operates using smart contracts, and it concludes automatically 24 hours after the third round opens, leading to the launch of $BGPT on PancakeSwap. Participants engaging in all three rounds will receive a $BGPT airdrop within 1 minute of the presale’s conclusion, while two-round and one-round participants will receive their airdrops within 5 and 10 minutes, respectively.
BlockGPT values community involvement and rewards participants with exclusive NFTs. All presale participants will receive The Memory Of $BGPT Presale NFTs, which will be airdropped within 15 days after the completion of the presale.
BlockGPT is a cutting-edge web 3.0 AI initiative that combines the power of advanced artificial intelligence with blockchain technology. The project focuses on creating a chatbot with a more human touch, revolutionizing the way we interact with AI. With the integration of blockchain technology, BlockGPT operates in a decentralized manner, ensuring transparency, security, and unlimited potential.
For more information about BlockGPT and its ecosystem, please visit the official website or read the whitepaper. Join the community on Telegram and follow EthShares on Twitter to know more about the project.
The information provided in this release is not investment advice, financial advice, or trading advice. It is recommended that you practice due diligence (including consultation with a professional financial advisor) before investing or trading securities and cryptocurrency.
Cisco Doubles Down on Network Assurance with AWS
Cisco delivers seamless integration between ThousandEyes and Amazon CloudWatch Internet Monitor.ThousandEyes’ unmatched cloud and Internet visibility combined with AWS’s Internet health and performance insights will allow a complete view of an application’s entire service delivery path, across private environments, the public Internet and into AWS’s network.Customers benefit from new operational insights and recommendations enabling them to optimize deployments and assure exceptional digital experiences for any AWS-hosted application.LAS VEGAS, Nov. 28, 2023 /PRNewswire/ — AWS re:Invent — Today at AWS re:Invent 2023, Cisco (NASDAQ: CSCO) announced new integrations between Cisco ThousandEyes and Amazon CloudWatch Internet Monitor (CWIM), a new Internet monitoring service from Amazon Web Services (AWS). The first-of-its-kind integration empowers customers with unparalleled visibility into their cloud deployments, enabling them to deliver unmatched optimized digital experiences.
With this new integration, customers can leverage operational insights to ensure optimal placement of AWS instances and monitoring coverage based on user traffic profiles. This integration comes on the heels of ThousandEyes announcing AWS Network Path Enrichment, giving customers deeper visibility into AWS by enriching ThousandEyes Path Visualization with data from AWS data sources—helping customers work more collaboratively with providers to resolve issues that are impacting application performance.
Building upon the existing relationship between AWS and Cisco, the new integration demonstrates Cisco’s deep commitment to its end-to-end network assurance vision. Cisco securely and sustainably connects everyone to everything and assures the digital experience of every one of those connections. By working with AWS, Cisco is delivering on its promise to provide visibility into every domain that impacts digital experience—whether user, enterprise, Internet, or cloud—so it can ultimately provide artificial intelligence (AI)-driven insights, recommendations, and remediations to support the digital transformation of every customer, wherever they are on their journey.
“Since launching one year ago, Amazon CloudWatch Internet Monitor has delivered real-time insights into the traffic and performance of our customers’ AWS VPCs, CloudFront distributions, and Workspaces towards Internet destinations. In-depth Internet visibility is critical to our customers, so we’re excited to combine forces with ThousandEyes to provide a comprehensive view of Internet health.” — Robert Kennedy, VP of AWS Border Network Engineering, AWS
“Connectivity is key to Sutherland’s business model and to our customer interactions. Cloud visibility is a big part of that and with ThousandEyes’ end-to-end visibility all the way from our employees’ home environments to AWS, we’re able to quickly catch and resolve issues which allows us to deliver consistent high-quality application experiences to both our employees and customers.”—Ted Sanfilippo, VP Infrastructure, Head of Global Network Services and GTOC, Sutherland
“Customers today need to assure digital experiences over any network—the ones they own and the ones they don’t. As the leader in Internet visibility, Cisco is on a mission to deliver unmatched, end-to-end network assurance. Today’s integration with AWS demonstrates our shared commitment to empower our customers to more effectively monitor and manage their cloud environments.”— Mohit Lad, Senior Vice President and General Manager, Network Assurance, Cisco, and Co-Founder, ThousandEyes
For more information and live demos visit ThousandEyes at AWS re:Invent at booth #1621. Join our Lightning Talk on the exhibit floor: NET102-S, “Extending ThousandEyes visibility to the AWS network,” November 28 at 3:30 PM – 3:50 PM (PDT)
The Amazon CloudWatch Internet Monitor integration will be available in Cisco ThousandEyes in spring 2024. The ThousandEyes platform is available for purchase today in AWS Marketplace.Additional Resources
ThousandEyes Announcement BlogAWS Marketplace: CiscoCisco at AWS re:Invent 2023Additional Cisco news at AWS re:InventAbout CiscoCisco (NASDAQ: CSCO) is the worldwide technology leader that securely connects everything to make anything possible. Our purpose is to power an inclusive future for all by helping our customers reimagine their applications, power hybrid work, secure their enterprise, transform their infrastructure, and meet their sustainability goals. Discover more on The Newsroom and follow us on X at @Cisco. Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco’s trademarks can be found at www.cisco.com/go/trademarks. Third-party trademarks mentioned are the property of their respective owners. The use of the word partner does not imply a partnership relationship between Cisco and any other company.
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Artificial Neural Network Market to Reach $1.4 Billion by 2032 at 19.9% CAGR: Allied Market Research
The growing demand for AI-based solutions and the rising need for intelligent business processes are expected to drive the global artificial neural network market growth.
NEW CASTLE, Del., Nov. 28, 2023 /PRNewswire/ — Allied Market Research published a report, titled, “Artificial Neural Network Market by Component (Solution and Service), Deployment Mode (On-premise and Cloud), Enterprise Size (Large Enterprises and Small & Medium-sized Enterprises), and Industry (Healthcare, BFSI, Retail and E-commerce, Manufacturing, Automotive, and Others): Global Opportunity Analysis and Industry Forecast, 2022–2032”. According to the report, the artificial neural network industry generated $227.8 million in 2022 and is anticipated to generate $1.4 billion by 2032, witnessing a CAGR of 19.9% from 2023 to 2032.
Prime determinants of growth
The notable factors positively affecting the artificial neural network market include the growing demand for AI-based solutions and the rising need for intelligent business processes. However, a lack of computational resources and a skilled workforce with expertise in artificial neural network (ANN) can hinder market growth. Furthermore, advancements in big data analytics and the availability of high-performance computing systems offer lucrative market opportunities for the market players.
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Report coverage & details:
Market Size in 2022
Market Size in 2032
No. of Pages in Report
Component, Deployment Mode, Enterprise Size Industry, and Region.
Growing demand for AI-based solutions
The rising need for intelligent business processes
Advancements in big data analytics.
The availability of high-performance computing systems.
A lack of computational resources and a skilled workforce with expertise in artificial neural network (ANN)
Buy this Complete Report (450 Pages PDF with Insights, Charts, Tables, and Figures) at:
The solution segment to maintain its leadership status throughout the forecast period
Based on component, the solution segment held the highest market share in 2022, accounting for less than two-fifths of the artificial neural network market revenue, and is estimated to maintain its leadership status throughout the forecast period. This is attributed to the growing need for a high level of personalization which is one of the primary reasons enterprises are increasing their investment in the artificial neural network market. However, the services segment is projected to manifest the highest CAGR of 21.8% from 2023 to 2032. The services segment is expected to witness the highest growth, as these services help to reduce the time and costs associated with optimizing systems in the initial phase of deployment.
The on-premise segment to maintain its lead position during the forecast period
Based on deployment mode, the on-premise segment accounted for the largest share in 2022, contributing for more than one-fourth of the artificial neural network market revenue. An increase in the need for secure and reliable data within the organization is fueling the market growth for on-premises-based artificial neural network solutions. However, the cloud segment is expected to portray the largest CAGR of 21.2% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. It provides several advantages such as reducing costs, supporting business, and effectively controlling the business environment in the organization.
The large enterprises segment to maintain its lead position during the forecast period
Based on enterprise size, the large enterprises segment accounted for the largest share in 2022, contributing for more than one-fourth of the artificial neural network market revenue, owing to the growing demand for artificial neural network solutions in large enterprises which is fueling the market growth in these enterprises. However, the small and medium-sized enterprises segment is expected to portray the largest CAGR of 22.2% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. It provides various benefits to the small and medium-sized enterprises organization.
The healthcare segment to maintain its lead position during the forecast period
Based on industry vertical, the healthcare segment accounted for the largest share in 2022, contributing for less than two-fifths of the artificial neural network market revenue, owing to the development of digital technologies in IT sector. However, the manufacturing segment is projected to manifest the highest CAGR of 24.3% from 2023 to 2032. The surge in implementation of automation trends and the increase in utilization of digital technology in this sector are expected to provide lucrative opportunities for the market.
North America region dominated the global artificial neural network market in 2022
Based on region, the North America segment held the highest market share in terms of revenue in 2022, accounting for less than two-fifths of the artificial neural network market revenue. The increase in the usage of artificial neural network solutions in businesses to improve businesses and the customer experience is anticipated to propel the growth of the market in this region. However, the Asia-Pacific segment is projected to manifest the highest CAGR of 21.8% from 2023 to 2032. Countries such as China, India, and South Korea are at the forefront, embracing digital technologies to enhance their effectiveness and competitiveness, which is further expected to contribute to the growth of the market in this region.
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Recent Product launches in the Artificial Neural Network Market
In April 2023, Google LLC launched a cloud-based automation toolkit for healthcare organizations and previewed Med-PaLM 2, a neural network capable of answering medical exam questions.In August 2021, IBM Corporation unveiled details of the upcoming new IBM Telum Processor designed to bring deep learning inference to enterprise workloads to help address fraud in real-time..Recent Partnerships in the Artificial Neural Network Market
In June 2023, Snowflake partnered with Microsoft to simplify joint customers’ artificial intelligence projects. A core focus of the collaboration is Microsoft’s Azure OpenAI Service. It provides cloud-based versions of OpenAI LP’s machine learning models, including GPT-4.In November 2021, Qualcomm Technologies partnered with Google Cloud, on Neural Architecture Search (NAS), enabling the companies to create and optimize AI models automatically rather than manually.Leading Market Players: –
Amazon Web Services Inc. Google Inc. Hewlett Packard Enterprise Development LP IBM Corporation Intel Corporation Microsoft Corporation NVIDIA Corporation Oracle Corporation Qualcomm Technologies Inc. Salesforce Inc.The report provides a detailed analysis of these key players in the artificial neural network market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different countries. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.
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AMR introduces its online premium subscription-based library Avenue, designed specifically to offer cost-effective, one-stop solution for enterprises, investors, and universities. With Avenue, subscribers can avail an entire repository of reports on more than 2,000 niche industries and more than 12,000 company profiles. Moreover, users can get an online access to quantitative and qualitative data in PDF and Excel formats along with analyst support, customization, and updated versions of reports.
Get an access to the library of reports at any time from any device and anywhere. For more details, follow the link: https://www.alliedmarketresearch.com/library-access
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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Wilmington, Delaware. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports Insights” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
We are in professional corporate relations with various companies, and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
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New process definition capabilities in PIMS further enhance quality assurance and “right -first-time” initiatives for pharma manufacturers
WOKING, England, Nov. 28, 2023 /PRNewswire/ — IDBS unveils new process definition templates in its latest release, PIMS 5.1. Process definition templates enable pharma manufacturers to template process steps and quality specifications for faster process definition set-up and improved harmonization across the manufacturing teams to further enhance quality assurance (QA) and “right-first-time” initiatives.
Providing contextualized access to aggregated manufacturing data, PIMS offers a single source of data truth for efficient gathering, sharing and analysis of critical manufacturing process and quality data to support continued process verification (CPV), investigations and process optimization.
This release builds on recent PIMS’ process definition enhancements that added process definition versioning and approvals to help alleviate manual standard operating procedure (SOP) requirements and enhance QA for a more robust GxP environment.
PIMS’ customers report that these standardized process definition templates will reduce their manual process definition set-up and enable easy, harmonized site and product comparisons.
“Our customers recognize the value of being able to trace their process data over time, not only for tech transfer but also to help them learn from their historical data and optimize future process development,” says Pietro Forgione, General Manager at IDBS. “Having their critical process data in PIMS already gives them the assurance of data integrity and these new enhancements now make it even easier to complete QA and validation steps and move them closer to ‘right-first-time’ manufacturing.”
To learn more, register for the December 6 webinar here.
IDBS helps BioPharmaceutical organizations accelerate the discovery, development and manufacturing of the next generation of life-changing therapies that advance human health worldwide. From lab through manufacturing, IDBS leverages its 30+ years of experience working with a diverse list of customers – including 18 of the top 20 global BioPharma companies – and deep expertise in scientific informatics and process data management to tackle today’s most complex challenges.
Known for its signature IDBS E-WorkBook product, IDBS has extended solutions across the entire value chain for BioPharma Lifecycle Management (BPLM). Built on analytics-centric and cloud-native technology, IDBS Polar and Skyland PIMS platforms are powered by a digital data backbone to drive faster and smarter decisions in drug development and across the supply chain.
Learn more at idbs.com.
MEDIA ENQUIRIES e | [email protected]
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- Cisco Doubles Down on Network Assurance with AWS
- Artificial Neural Network Market to Reach $1.4 Billion by 2032 at 19.9% CAGR: Allied Market Research
- New process definition capabilities in PIMS further enhance quality assurance and “right -first-time” initiatives for pharma manufacturers
- Industrial Control And Factory Automation Market size worth $ 259.3 Billion, Globally, by 2030 at 8.07% CAGR: Verified Market Research®
- Artificial Intelligence in BFSI Market to Reach $ 368.6 Billion, Globally, by 2032 at 32.5%% CAGR: Allied Market Research
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