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The patent describes an automatic correction of microchip’s electrical connectivity mismatches technology that could achieve major design cycle time reduction.
SAN DIEGO, Jan. 31, 2023 (GLOBE NEWSWIRE) — GBT Technologies Inc. (OTC PINK: GTCH) (“GBT” or the “Company”), nonprovisional patent application for automatic correction of Integrated Circuits electrical connectivity mismatches, received a notice of allowance from the United States Patent and Trademark Office (“USPTO”). The application was filed on August 3, 2022 and received application #17880055. The non-provisional patent application describes programmatic algorithms to automate integrated circuits electrical connectivity mismatches correction with the goal of achieving faster and more efficient designs, particularly for advanced nanometer range of 5nm and below. A Layout-Vs-Schematics (“LVS”) Verification program is an integral part of the integrated circuits (“IC”) signoff process to compare the electrical connectivity (wiring) of an IC layout against its schematic diagram. If a connectivity mismatch is detected that means a faulty wiring connection exists between electronic components and may lead to a non-functional chip’s circuit or wrong electrical outcome. Typically, in a custom and semi-custom Analog, MIXED and RF layout styles, these corrections must be fixed manually which takes a significant amount of design time and may have further impacts resulting in other geometrical design rules violations and similar. GBT’s non-provisional patent application seeks to protect an algorithmic system and method to perform an automatic LVS correction with a click of a button. The system will read the IC’s schematic and layout data, compare their electrical connections (wiring) and in case of mismatches, disconnect the incorrect wires, and re-route them in the correct way.
“We are excited to take the next step with our Sigma (Internal Code Name) nonprovisional patent application covering automatic correction. We have identified bottlenecks within IC layout and backend design arenas and this is the first of a series electronic design automation (EDA) patent that we filed, providing algorithmic solutions to address manufacturing process verification challenges. We believe the Sigma technology addresses one of the major ones, which is in the LVS domain. An automatic correction of electrical connectivity mismatches within an IC data can be a significant time-consuming process, especially with advanced nanometer chips, like 5nm and below, which may include billions of transistors and wires. The Sigma technology presents an automated LVS correction system to analyze an entire chip data, checking for electrical connectivity mismatches with the goal of rapidly auto-correcting them. The correction process involves the identification of existing wrong connections, disconnecting them, and re-routing them correctly. The non-provisional patent application includes a summary of an AI technology to manage the data processing, performing the challenging mathematical analysis, concluding possible solutions and the execution of an auto-correction function. We believe this technology is an innovative design productivity enhancement, which has the ability to enable IC design firms to achieve reduction of their overall projects design time and to bring their microchips to market faster, which in turn may create new horizons for the semiconductor industry,” stated Danny Rittman, the Company’s CTO.
There is no guarantee that the Company will be successful in researching, developing or implementing this system. In order to successfully implement this concept, the Company will need to raise adequate capital to support its research and, if successfully researched, developed and granted regulatory approval, the Company would need to enter into a strategic relationship with a third party that has experience in manufacturing, selling and distributing this product. There is no guarantee that the Company will be successful in any or all of these critical steps.
GBT Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development stage company which considers itself a native of Internet of Things (IoT), Artificial Intelligence (AI) and Enabled Mobile Technology Platforms used to increase IC performance. GBT has assembled a team with extensive technology expertise and is building an intellectual property portfolio consisting of many patents. GBT’s mission, to license the technology and IP to synergetic partners in the areas of hardware and software. Once commercialized, it is GBT’s goal to have a suite of products including smart microchips, AI, encryption, Blockchain, IC design, mobile security applications, database management protocols, with tracking and supporting cloud software (without the need for GPS). GBT envisions this system as a creation of a global mesh network using advanced nodes and super performing new generation IC technology. The core of the system will be its advanced microchip technology; technology that can be installed in any mobile or fixed device worldwide. GBT’s vision is to produce this system as a low cost, secure, private-mesh-network between all enabled devices. Thus, providing shared processing, advanced mobile database management and sharing while using these enhanced mobile features as an alternative to traditional carrier services.
Certain statements contained in this press release may constitute “forward-looking statements”. Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact. Actual results may differ materially from those indicated by such forward-looking statements because of various important factors as disclosed in our filings with the Securities and Exchange Commission located at their website (http://www.sec.gov). In addition to these factors, actual future performance, outcomes, and results may differ materially because of more general factors including (without limitation) general industry and market conditions and growth rates, economic conditions, governmental and public policy changes, the Company’s ability to raise capital on acceptable terms, if at all, the Company’s successful development of its products and the integration into its existing products and the commercial acceptance of the Company’s products. The forward-looking statements included in this press release represent the Company’s views as of the date of this press release and these views could change. However, while the Company may elect to update these forward-looking statements at some point in the future, the Company specifically disclaims any obligation to do so. These forward-looking statements should not be relied upon as representing the Company’s views as of any date subsequent to the date of the press release.
HER HIGHNESS SHEIKHA MOZA OPENS 11TH EDITION OF WISE SUMMIT
Safeena Husain recognized as the 2023 Wise Prize for Education Laureate for work with Educate Girls
DOHA, Qatar, Nov. 28, 2023 /PRNewswire/ — Her Highness Sheikha Moza bint Nasser, Chairperson of Qatar Foundation, spoke at the opening of the 11th edition of the WISE Summit taking place from 28-29 November in Doha, Qatar, under the theme ‘Creative Fluency: Human Flourishing in the Age of AI’.
Her Highness Sheikha Moza said: “I want to ensure WISE is a platform for new ideas that keep pace with the changes taking place in the world, and the obstacles that education faces in certain countries for reasons of which we are all too aware. There is no alternative but to innovate if we are to find solutions to intractable problems.”
During the opening plenary, Her Excellency Sheikha Hind bint Hamad Al Thani, Vice Chairperson and CEO of Qatar Foundation, awarded the prestigious WISE Prize for Education. This is the first global award of its kind that honors an individual for an outstanding contribution to education. Husain was recognized for dedicating 16 years to building the non-profit organization focused on empowering communities for girls’ education in some of India’s hardest to reach villages.
Over the years, Educate Girls has mobilized more than 1.4 million girls for enrolment and supported over 1.9 million children in their learning in India. Thanks to a precision targeting method using AI, Educate Girls is able to target, in 5 years, the same number of out-of-school girls, which would otherwise require 45 years. Through a network of over 21,000 community-based champions in some of the most marginalized communities in the country, the organization has been working to break the intergenerational cycle of inequality and exclusion.
Commenting on the award, Husain said: “This is a collective win for all of us working toward girls’ education, right from the government and local communities to dedicated gender champions and our supporters. It is a testament to the array of initiatives that are actively addressing this global challenge to ensure that every girl, in every village, is in school and learning well.
“Girls’ education is the closest thing we have to a silver bullet to solve some of the world’s most complex problems. We must recognize that the right to education is a girl’s inherent right – a right that must always take center stage.”
Contact Email: [email protected]
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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)
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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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- HER HIGHNESS SHEIKHA MOZA OPENS 11TH EDITION OF WISE SUMMIT
- Cisco Doubles Down on Network Assurance with AWS
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