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Thursday, January 27, 2022

#AIEye #Podcast - GBT Technologies CTO (OTCPINK: $GTCH) Discusses Global #Microchip Shortage and Responses from Sector






 

#AIEye #Podcast - GBT Technologies CTO (OTCPINK: $GTCH) Discusses Global #Microchip Shortage and Responses from Sector

 

#Stocks discussed: (OTCPINK: $GTCH) (NasdaqGS: $INTC) (NasdaqGS: $TSLA) (OTC: $CTTAY)

 

Vancouver, Kelowna, Delta, BC – January 27, 2022 -  Investorideas.com (www.investorideas.com), a global investor news source covering Artificial Intelligence (AI) brings you today’s edition of The AI Eye featuring an exclusive interview with technology company, GBT Technologies Inc. (OTCPINK:GTCH), discussing the global microchip shortage.

 

Listen to today’s podcast:

https://www.investorideas.com/Audio/Podcasts/2022/012622-AI-Eye.mp3

 

Read this in full at https://www.investorideas.com/news/2022/artificial-intelligence/01271GTCH-Global-Microchip-Shortage.asp

 

Watch the Video: https://www.youtube.com/watch?v=1SY3QrX1VKU

 


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With the ongoing global supply shortage of microchips impacting sectors ranging from automotive to mobile phones and more, companies are finding new strategies to adapt, including taking on chip manufacturing and design innovation.

 

One firm that falls into the latter category is GBT Technologies Inc. (OTC PINK:GTCH), an early stage technology developer in (IoT), and Artificial Intelligence (AI) Enabled Mobile Technology Platforms, and also the creator of a 3D, multiplanar, integrated circuits (IC) design and manufacturing technology. GBT’s CTO, Danny Rittman recently spoke to Investorideas.com about the state of the integrated circuit shortage and GBT’s own aforementioned chip IP. Regarding the supply shortage, Rittman said it won’t be fixed any time soon, but with the easing of COVID-19 regulations – largely attributed as the main driver of the shortage – things will begin to see improvement.

 

“I do predict it will take some time,” Rittman said. “I hope, as we all do, that in the next year or so we’ll start to see things get back on track, especially with COVID restrictions being lessened. It seems like the world is deciding that we need to go back to normality with COVID or without COVID.”

 

The following excerpt from a Bloomberg piece on the subject outlines the widespread impact of COVID-19 on the market:

 

Uncertainties caused by the pandemic also led to sharp swings in orders last year [2020], which in turn muddied the waters for chipmakers trying to match capacity with demand. That’s why carmakers have had to halt production in 2021 and why Playstations and Xboxes are getting harder to find in stores.

 

Rittman talked about the increasing trend for firms to design their own chips, as a means to maintain exclusivity on their intellectual property (IP).

 

“Companies today tend to try to keep their IP in house, so it’s much better to design your own chip and outsource less,” Rittman said. “The microchips of today are getting more proprietary, and IP is often kept confidential because companies don’t want their IP to be duplicated or stolen.”

 

“Of course, on a general basis companies will sometimes want to just buy to shorten the design time. So they’ll definitely continue to buy a USB unit or HDMI unit [for instance] to plug and play and shorten the design. But I do see that proprietary design parts will probably from now on be more confidential and done in house.”

 

But while many companies take on the responsibility of chip design, the actual manufacturing of chips takes place in a handful of major foundries located mainly in Taiwan and South Korea. Recently, chip making giant Intel Corporation (NasdaqGS:INTC) announced that it will invest more than $20 billion in the construction of two new leading-edge chip factories in Ohio in a bid to “establish a new epicenter for advanced chipmaking in the Midwest.” Pat Gelsinger, CEO of Intel, commented:

 

"Today’s investment marks another significant way Intel is leading the effort to restore U.S. semiconductor manufacturing leadership. Intel’s actions will help build a more resilient supply chain and ensure reliable access to advanced semiconductors for years to come. Intel is bringing leading capability and capacity back to the United States to strengthen the global semiconductor industry. These factories will create a new epicenter for advanced chipmaking in the U.S. that will bolster Intel’s domestic lab-to-fab pipeline and strengthen Ohio’s leadership in research and high tech."

 

Tesla (NasdaqGS:TSLA) notably withstood difficulties imposed by chip shortages that plagued its automotive competitors in the last year. According to Reuters, the company’s “ability to design components in-house,” gave it “agility in making tweaks to parts and coping with supply chain issues that hit other automakers much harder.” This included giving customers the option to forgo certain parts, such as Bluetooth chips and USB ports, and the removal of some features including radar sensors and lumbar support for front passenger seats, which streamlined production. With regard to chips in particular, a Tesla insider told Reuters:

 

"We design circuit boards by ourselves, which allow us to modify their design quickly to accommodate alternative chips like powerchips.”

 

Gilles Mabire, the CEO of German automotive parts firm Continental AG (OTC:CTTAY), told trade publication Automobilwoche that his company does not plan to make its own chips, but “plans to work more closely with its suppliers and customers and change the chip design so that it can be altered more quickly if necessary.” Regarding the chip shortage, Mabire said:

 

"You can't solve that with in-house manufacturing in a single area. You need specialists for that, and the automotive sector alone is simply too small for this."

 

Mabire went on to opine that reducing the amount of semiconductors in vehicles was not ultimately a viable solution:

 

"If we look into the future, the switch to central computers may indeed reduce the number of processors and chipsets. But at the same time, complexity and performance levels increase dramatically. So, I find it hard to imagine that we will get by with fewer semiconductors."

 

Another response to current and possibly future chip shortages might be to simply make more efficient chips. GBT Technologies Inc. recently announced that it filed a continuation patent application for its 3D, multiplanar, integrated circuits (IC) design and manufacturing technology. This 3D microchip design utilizes a multi-dimensional, multi-planar IC structure that may potentially be used in IC fabrication. The object of the design is to facilitate an increase in memory size capacity, speed, performance, and processing power.

 

“The advantage of our new architecture is its capability of reducing the consumption of power,” Rittman said. “So it consumes less power and gives more real estate on the silicon, connectivity is actually shorter and therefore faster and the performance is faster.”

 

Rittman said that although it’s more complex design asks more from manufacturers, the chip’s benefits will be evident.

 

“It will require manufacturers to introduce new machinery to produce it, but this is definitely the future because we’ve kind of reached the limit regarding microchips’ silicon yield and real estate (the pure area on the silicon),” he said.

 

Rittman also explained the importance of securing the chip’s continuation patent application.

 

“Since we see this patent as one of our major IPs in this domain, we’re going to be continually adding to it and filing more patents to protect its concept,” he said.

 

Sam Mowers, Investorideas.com

 

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Disclaimer/Disclosure: Investorideas.com is a digital publisher of third party sourced news, articles and equity research as well as creates original content, including video, interviews and articles. Original content created by investorideas is protected by copyright laws other than syndication rights. Our site does not make recommendations for purchases or sale of stocks, services or products. Nothing on our sites should be construed as an offer or solicitation to buy or sell products or securities. All investing involves risk and possible losses. This site is currently compensated for news publication and distribution, social media and marketing, content creation and more. Disclosure is posted for each compensated news release, content published /created if required but otherwise the news was not compensated for and was published for the sole interest of our readers and followers. Contact management and IR of each company directly regarding specific questions. More disclaimer info: https://www.investorideas.com/About/Disclaimer.asp Learn more about publishing your news release and our other news services on the Investorideas.com newswire https://www.investorideas.com/News-Upload/ and tickertagstocknews.com 

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Breaking #AI #Health #Stock News: GBT (OTCPK: $GTCH) is Evaluating an Implementation of Advanced NLP Algorithm, To Provide Powerful NLP Features for Its AI #Healthcare Advisory System; #artificialintelligence

Breaking #AI #Health #Stock News: GBT (OTCPK: $GTCH) is Evaluating an Implementation of Advanced NLP Algorithm, To Provide Powerful NLP Features for Its AI #Healthcare Advisory System; #artificialintelligence

 

The Advanced NLP (Natural Language Processing) capabilities to enhance the human-to-computer interaction experience, capable of making it significantly more user friendly, mainly intuitive

 


San Diego, CA, January 27, 2022 - (Investorideas.com Newswire) GBT Technologies Inc. (OTC PINK: GTCH) ("GBT”, or the “Company”), is evaluating the use of advanced NLP algorithm model to enhance its AI based healthcare advisory system human interaction experience. The Text-To-Text Transfer Transformer (T5) model introduces an efficient technology to perform a wide variety of supervised Natural Language Processing (NLP) tasks such as classification, Q&A and summarization. Typically, most of the new deep learning NLP models are very large and include vast number of parameters. Normally the larger the NLP model, the more learning capacity it has, yet one of the main disadvantages is the huge dataset which may reduce the overall performance. The advanced NLP algorithm model is considered one of the most advanced, high performance NLP algorithms that includes a vast number of parameters, using significantly less memory, and provides high accuracy. GBT will be evaluating the T5, pre-trained model with the goal of using it in its Hippocrates healthcare advisory system, handling Q/A, text, summarization and compositional commonsense knowledge. The model allows more parallel processing than methods like Recurrent Neural Network (RNN) and Convolutional Neural Network CNN) which significantly increases data understanding and reasoning capabilities. For example, T5 model is capable of processing words together rather than on a word-by-word of a given text. As global data realm is estimated to reach zettabytes range in the near future, our deep learning computing will need powerful processing capabilities, comprehending and scrutinizing data, particularly in the huge, unstructured NLP domain. The system is designed to perform as a general health Q/A advisory system, providing first-line of health-related advice.  We plan to further develop the system to include intelligent telemedicine capabilities that will assist patients and healthcare specialists through global connected devices.

 

Read this news, featuring GTCH in full at https://www.investorideas.com/CO/GOPH/news/2022/01271NLP-Algorithm.asp

 

“Natural Language processing (NLP) is currently broadly used for the various tasks involving sentiment analysis, for example spam email detection, textual/voice driven virtual assistants, chatbots, and similar. In the last decade, deep learning technology have become more powerful, allowing larger data and faster processing models to handle the constantly growing unstructured data. The amount of unstructured data has become a challenge for information analysis especially within the NLP arena due to compositional complexity and the demand for a human-alike interaction. Today’s voice and text digital assistants are expected to efficiently “understand” verbal or textual conversations, exactly as an in-person interaction. Artificial General Intelligence (AGI) is our machine learning solution to “understand” the data, reason and make decisions exactly as a human would do.  One of the key challenges for such system is to comprehend humans natural language, interpret, and manipulate it, which is exactly what NLP is. Our Avant! deep neural networks already encapsulate vast computing power, allowing larger language models with faster processing. We are seeking new capabilities by combining new NLP models with our current technology to better “understand” users, their intent, and providing accurate, well summarized, response. We are evaluating if the possible implementation of the T5 model within our Hippocrates healthcare AI system may produce much more robust level of user’s chat interaction with more  human-alike dialog, mainly intuitive. The Hippocrates healthcare advisory system is aimed to provide first line health related advice and to become an assisting tool for the general population and healthcare professionals. Its human interaction aspect, via a robust NLP technology, is one of the most important features to ensure viable and accurate health related advice information,” provided 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. 

 

About Us

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 any and 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.


Forward-Looking Statements

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 as a result 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.

 

Contact:

Dr. Danny Rittman, CTO
press@gopherprotocol.com

 

GBT Technologies Inc. (OTCQB:GTCH) is a featured tech stock on

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Disclaimer/Disclosure: Investorideas.com is a digital publisher of third party sourced news, articles and equity research as well as creates original content, including video, interviews and articles. Original content created by investorideas is protected by copyright laws other than syndication rights. Our site does not make recommendations for purchases or sale of stocks, services or products. Nothing on our sites should be construed as an offer or solicitation to buy or sell products or securities. All investing involves risk and possible losses. This site is currently compensated for news publication and distribution, social media and marketing, content creation and more. Disclosure is posted for each compensated news release, content published /created if required but otherwise the news was not compensated for and was published for the sole interest of our readers and followers. Disclosure: GTCH is a PR, social media and publishing client and compensates Investorideas.com https://www.investorideas.com/About/News/Clientspecifics.asp Contact management and IR of each company directly regarding specific questions. More disclaimer info: https://www.investorideas.com/About/Disclaimer.asp Learn more about publishing your news release and our other news services on the Investorideas.com newswire https://www.investorideas.com/News-Upload/ and tickertagstocknews.com  Global investors must adhere to regulations of each country. Please read Investorideas.com privacy policy: https://www.investorideas.com/About/Private_Policy.asp

 


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Wednesday, January 26, 2022

#AIEye #Podcast 652: #Stocks discussed: (NasdaqGS: $BIDU) (NYSE: $PATH) #artificialintelligence



 

 

#AIEye #Podcast 652: #Stocks discussed: (NasdaqGS: $BIDU) (NYSE: $PATH) #artificialintelligence

 

Baidu’s Electric Vehicle Arm Closes Series A Financing, and UiPath Works with Deloitte in Smart Factory for Industry 4.0

 

Edge #AI Market in #Japan to Reach $40.81B by 2030

 

Vancouver, Kelowna, Delta, BC – January 26, 2022  – Investorideas.com (www.investorideas.com), a global investor news source covering Artificial Intelligence (AI) brings you today’s edition of  The AI Eye-  watching stock news, deal tracker and advancements in artificial intelligence

 

Listen to today’s podcast:

https://www.investorideas.com/Audio/Podcasts/2022/012622-AI-Eye-2.mp3

 

Read this in full at https://www.investorideas.com/news/2022/artificial-intelligence/01261BIDU-PATH.asp

 

Hear the Ai Eye on Spotify  

 

Today’s Column- The AI Eye- Watching stock news, deal tracker and advancements in artificial intelligence

 

JIDU, the intelligent electric vehicle arm of Baidu, Inc. (NasdaqGS:BIDU), has closed Series A financing, raising close to $400 million. This enables JIDU to continue accelerating the progress of its R&D and achieve mass production, including that of its Robocar set to be launched in 2023. Yiping Xia, CEO of JIDU, said:

 

"It has only been 10 months since JIDU started its journey. With the support of cutting-edge AI technology combined with a high-quality vehicle platform and manufacturing process, JIDU's efficient development of automotive robots has been proven – the brain, nerve system, and body of the Robocar are all under rapid development. When the product is delivered (in 2023), it will be a benchmark-level product."

 

Robotic Process Automation software firm UiPath Inc. (NYSE:PATH) has become a Builder sponsor of The Smart Factory @ Wichita, described as “a new Industry 4.0 immersive experience center by Deloitte,” where it “will showcase the role of RPA in the future of smart factories while engaging a broad spectrum of companies in sophisticated manufacturing innovations and the technologies behind them.” Sebastian Seutter, Global Manufacturing Lead at UiPath, explained:

 

"There are endless possibilities to evolve the way in which solutions and products are developed within smart factories to make an impact on the world. When automation, artificial intelligence, and the IoT are seamlessly connected, smart factories can dramatically reduce throughput time and increase factory output, while enabling reduced lot sizes, ensuring sustainable operations, and lower operating costs. UiPath is a partner-first company, and to date we’ve done more than 400 joint engagements with Deloitte with large organizations. We are embarking as a team on this initiative to illustrate to companies around the world how humans working alongside robotic software assistants will rapidly introduce new capacity for value and innovation."

 

Edge AI Market in Japan to Reach $40.81B by 2030

 

A report published by Allied Market Research finds that the Edge AI market in Japan is projected to grow from $7.79 billion in 2020 to $40.81 billion by 2030, registering a compound annual growth rate (CAGR) of 20 percent from 2021-30. An excerpt from the report overview outlines the impact of the COVID-19 pandemic on the market’s growth:

 

The emergence of COVID-19 has immensely affected the growth rate of edge AI technology across Japan in 2020. A high positive impact has been witnessed in the healthcare sector in Japan, as prime enterprises have started to realize the potential of edge AI software in opposing the influence of COVID 19. However, due to several obstacles created by the COVID-19 pandemic, such as a lack of skilled professionals, project delays or cancellations, and raw material accessibility, the COVID-19 pandemic significantly impacted the growth of Japan Edge AI strategy across the productivity and mobility sectors. In contrast, the rise in demand for intelligence applications across the healthcare, manufacturing, and automotive areas in Japan is projected to drive the Japan edge AI market growth post-pandemic.

 

Sam Mowers, Investorideas.com

 

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