Finance

Morpheus.Network’s Masternode Program to Support the Digitization of Supply Chain Documents and IoT Data

Toronto, Canada, September 19th, 2024, FinanceWire

 

Pushing the boundary of blockchain usage in Enterprise Business

Morpheus.Network, the leading supply chain middleware, has announced that it has over 5000 nodes staked since it launched its innovative Trust.Supply Network. The program has already seen over 11.2 million MNW tokens bridged to Polygon Network.

“The uptake of token staking by the Morpheus.Network community points to a real understanding of blockchain tech in the supply chain. This is just one example and is mirrored by others such as the California’s Department of Motor Vehicles (DMV) digitization of 42 million car titles using blockchain to modernize the state’s title transfer process,” says Dan Weinberger, Co-founder and CEO of Morpheus.Network.

By leveraging blockchain technology Morpheus.Network is able to provide a seamless and automated supply chain middleware solution that addresses some of the most pressing challenges faced by businesses today from DePIN hardware logistics to food provenance.

In a note to their community the enterprise driven blockchain company announced that its masternode network, available at Trust.Supply is nearing full stake capacity.

Morpheus.Network’s vision to fix the world’s leading supply chain complications has attracted the attention of governments and private enterprises hoping to add an extra layer of efficiency to their operations.

The Power of Masternodes

Masternodes play a crucial role in maintaining the integrity and performance of the network. They provide critical services such as transaction validation, network security, and governance, ensuring that the platform remains reliable and efficient. The high level of participation is a clear indication of the trust the community has in Morpheus.Network’s technology and its future prospects.

Roadmap

In the months to come, Morpheus.Network has a robust roadmap with many announcements, including a planned roll out of their customizable SME solution that will provide blockchain and automation to a whole new layer of the supply chain market.

By joining trust.supply, users can view all of the details in the Morpheus Network customized dashboard. Users can learn more about Morpheus Network in their weekly spaces where the team regularly meets with the community.

About Morpheus.Network

Morpheus.Network is intensely focused on helping companies and government organizations eliminate inefficiencies and remove barriers to optimize and automate enterprise supply chain operations. Their multi-award winning supply chain middleware platform leverages transformational digital technologies such as ML/AI, IoT and Blockchain and has over 150 integrations with leading companies, including SAP, DHL, Fedex, Cargowise, Dimitra, Telefonica, Marsh, Swift and more. Morpheus.Network helps clients to potentially maximize revenue through digitization and process automation, protecting sensitive data, and untangling complex issues with the legacy supply chain system while delivering effective, equitable, and efficient global trade solutions.

Website | X

 

Contact

James Toland
Morpheus Network
hello@morpheus.network

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Asia-Pacific Artificial Intelligence (AI) Chipsets Market 2024-2031: Identify and Capitalize on the Countries Showcasing the Highest Growth Potential

2024-09-18T08:30:44Z

Dublin, Sept. 18, 2024 (GLOBE NEWSWIRE) -- The "Asia-Pacific Artificial Intelligence (AI) Chipsets Market Size, Share & Trends Analysis, 2024-2031" report has been added to ResearchAndMarkets.com's offering.

The Asia Pacific Artificial Intelligence (AI) Chipsets Market should witness market growth of 30.3% CAGR during the forecast period, 2024-2031.

The China market dominated the Asia Pacific Artificial Intelligence (AI) Chipsets Market by country in 2023, and should continue to be a dominant market till 2031; thereby, achieving a market value of $21.51 billion by 2031. The Japanese market is registering a CAGR of 29.7% during 2024-2031. Additionally, the Indian market should showcase a CAGR of 31.2% during 2024-2031.

The adoption of AI chipsets is rapidly increasing across various industries and sectors due to their ability to accelerate AI tasks, enhance performance, and enable intelligent applications. Businesses increasingly leverage AI-driven solutions to gain insights from data, automate processes, improve decision-making, and enhance customer experiences. AI chipsets facilitate the execution of complex AI algorithms and machine learning models, driving applications like NLP, computer vision, predictive analytics, and autonomous systems.

Moreover, the continuous advancements in AI algorithms, deep learning models, and neural network architectures drive the need for high-performance hardware solutions capable of handling massive datasets and complex computations. AI chipsets provide the computational power and efficiency to effectively train and deploy AI models. The proliferation of edge computing architectures, wherein AI processing tasks are performed locally on edge devices, drives the adoption of AI chipsets with edge computing capabilities.

The fintech industry in India has experienced rapid growth driven by increasing smartphone penetration, digital payment adoption, and government initiatives promoting financial inclusion. The Fintech business in India is expanding at one of the quickest rates in the world, according to the National Investment Promotion and Facilitation Agency. The market for fintech in India is expected to reach $150 billion by 2025, from $50 billion in 2021. By 2030, the fintech business is expected to generate $2.1 trillion in opportunity. In 2022, fintech startups in India raised $5.65 billion. Between 2021 and 2022, the number of distinct institutional investors in Indian fintech nearly doubled, from 535 to 1019, respectively.

Additionally, as businesses and government agencies in Australia invest in AI technologies to drive innovation and efficiency, there is a growing demand for AI chipsets to power AI-driven applications and services. According to the Australian Government, digital innovations, including AI, could contribute $315 billion to Australia's GDP by 2030. Australian spending on AI systems will grow to over $3.6 billion by 2025, at a compounding annual growth rate of 24.4% between 2020 and 2025. Therefore, the rising fintech industry and increasing expenditure on AI technology in the region drive the market's growth.

List of Key Companies Profiled

  • Intel Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • Micron Technology, Inc.
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • Samsung Electronics Co. Ltd. (Samsung Group)
  • Apple, Inc.
  • Huawei Technologies Co. Ltd. (Huawei Investment & Holding Co. Ltd.)
  • Texas Instruments, Inc.
  • NXP Semiconductors N.V.

Market Segmentation

By Computing Technology

  • Cloud Computing
  • Edge Computing

By Function

  • Inference
  • Training

By Chipset Type

  • GPU
  • CPU
  • FPGA
  • ASIC
  • Others

By Vertical

  • Consumer Electronics
  • Automotive
  • Healthcare
  • Manufacturing
  • Retail & E-Commerce
  • BFSI
  • Marketing
  • Others

By Country

  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Malaysia
  • Rest of Asia Pacific

For more information about this report visit https://www.researchandmarkets.com/r/9spj10

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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