#AIEye #Podcast Episode 491: GBT (OTCPINK: $GTCH) Files Non-Provisional Patent for ALU Microchip and Centene Corporation (NYSE: $CNC) Completes Acquisition of Apixio; #artificialintelligence

#AIEye #Podcast Episode 491: GBT (OTCPINK: $GTCH) Files Non-Provisional Patent for ALU Microchip and Centene Corporation (NYSE: $CNC) Completes Acquisition of Apixio; #artificialintelligence

 

Global Image Recognition in Retail Market to Reach $3.7 Billion by 2025

 

Point Roberts WA, Vancouver BC – December 8, 2020  – 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  –  featuring technology company GBT Technologies Inc. (OTCPINK:GTCH).

 

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https://www.investorideas.com/Audio/Podcasts/2020/120820-AI-Eye.mp3

 

Read this in full at https://www.investorideas.com/news/2020/artificial-intelligence/12081GBT-CNC.asp

 

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

 

Stocks discussed: (OTCPINK:GTCH) (NYSE:CNC)

 

GBT Technologies Inc. (OTC PINK:GTCH) filed, on December 2, 2020, a non-provisional patent with the United States Patent and Trademark Office seeking to protect certain intellectual property covering a new approach of Arithmetic Logic Unit (ALU) microchip. Danny Rittman, GBT's CTO, explained:

 

“We are aiming to break the ultimate limitations of our traditional, decimal/binary approach within ALU by introducing new calculation methods. In order to keep up with the growing demand for high performance computing, hardware engineers are looking to alternatives like Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs) which are mainly based on parallel computing to execute more instructions at once rather than do basic operations faster. As Moore's Law is fading away, high performance computing will require a conceptual shift. As part of our R&D constant efforts to find new methods to improve our computing world, especially for advanced machine learning algorithms, we are seeking to develop new ideas with the goal of enabling high performance Arithmetic/Logic processing. The patent application seeks to protect a system and method. In parallel to filing the patent application, we plan to design an experimental, proof-of-concept microchip and test its performance against traditional ALUs."

 

Centene Corporation (NYSE:CNC) has completed its acquisition of Apixio, a healthcare analytics company offering AI technology solutions. According to an earlier press release, “Apixio provides a technology suite that mines, compiles and analyzes large volumes of disparate, unstructured patient data (such as physician notes and medical charts), and creates and refines algorithms to extract high-quality insights to support payers' and providers' administrative activities.” Michael F. Neidorff, Chairman, President and CEO of Centene, said:

 

"We are pleased to have completed our acquisition of Apixio, further solidifying our position as a technology company focused on healthcare. I would like to officially welcome the Apixio team to the Centene family and look forward to working together to leverage comprehensive data to help improve the lives of our members."

 

Global Image Recognition in Retail Market to Reach $3.7 Billion by 2025

 

A report published by Research and Markets finds that the global Image Recognition in Retail market will grow from $1.5 billion in 2020 to $3.7 billion by 2025 with a compound annual growth rate (CAGR) of 20 percent in that forecast period. The report description identifies key drivers in the market as being the “Need to Increase On-Shelf Availability, Enhance Customer Experience, and Maximize ROI, Increasing the Use of Image Recognition Applications,” the “Increasing Use of High Bandwidth Data Services,” and the “Increasing Demand for Security Applications and Products Enabled with Image Recognition Functions.”

 

Sam Mowers, Investorideas.com

 

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About GBT Technologies Inc.

GBT Technologies Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development-stage company which considers itself a native IoT creator, developing Internet of Things (IoT) and Artificial Intelligence (AI) enabled mobile technology platforms.  GBT has a portfolio of Intellectual Property that, when commercialized, will include smart microchips, mobile and security applications and protocols, and supporting cloud software.  GBT’s system envisions the creation of a global mesh network.  The core of the system will be its advanced microchip technology that can be installed in any mobile or fixed device worldwide. GBT envisions this system as a low-cost, secure, private mesh network between any enabled devices, providing shared processing, advanced mobile database management/sharing and enhanced mobile features as an alternative to traditional carrier services.

 

About Investorideas.com - News that Inspires Big Investing Ideas Investorideas.com is a recognized news source publishing third party news, research and original financial content. Learn about investing in stocks and sector trends with our news alerts, articles, podcasts and videos, looking at cannabis, crypto, AI and IoT, mining, sports biotech, water, renewable energy and more. Investor Idea’s original branded content includes the following podcasts and columns : Crypto Corner , Play by Play sports and stock news column, Investor Ideas Potcasts Cannabis News and Stocks on the Move podcast and column,  Cleantech and Climate Change , Exploring Mining  the AI Eye .

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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 

Disclosure: GTCH is a paid monthly featured AI stock on Investorideas.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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#AI #Stock News UPDATE: GBT (OTCPINK: $GTCH) Filed Non-Provisional Patent Seeking to Protection A New Approach to the Arithmetic Logic Unit Microchip; @GbtTechnologies #artificialintelligence

#AI #Stock News UPDATE: GBT (OTCPINK: $GTCH) Filed Non-Provisional Patent Seeking to Protection A New Approach to the Arithmetic Logic Unit Microchip; @GbtTechnologies #artificialintelligence

 

Approach Aims to Speed up Computing System's Performance

 

SAN DIEGO - December 8, 2020 (Investorideas.com Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), announced that on December 2, 2020 it filed a non-provisional patent with the United States Patent and Trademark Office ("USPTO") seeking to protect certain intellectual property covering a new approach of Arithmetic Logic Unit ("ALU") microchip. The USPTO assigned application number 17109889.

 

Read this news featuring GTCH in full at https://www.investorideas.com/CO/GOPH/news/2020/12081Arithmetic-Logic-Unit.asp

 

The microchip is targeted to perform mathematical and logical operations based on a new method. Inside a computer, there is a microprocessor integrated circuit (IC), called CPU (Central Processing Unit). The CPU is the primary IC of a computer, commonly referred to as the brain of a computer. Its task is to process instructions in order to run programs. It runs the computer's operating system or OS (for example: Linux) and other computer programs. The CPU receives input from the user or programs, processes the data and produces an output. The output can be displayed on a screen or stored in mediums like memory and hard drives. Within the CPU, typically there is an ALU, which performs arithmetic and logical operations. In a way, the ALU is the "calculator" part within the computer. The CPU chip transfers numbers from a memory into the ALU for calculation and the results are sent back to the memory. An ALU is typically designed to calculate many different operations and the entire computer system's speed depends on its capability to execute arithmetic and logic operations. When the operations become more complex, ALUs have to become more advanced and powerful to ensure the performance of the entire system. In some processors, the ALU is divided into two units, an arithmetic unit (AU) and a logic unit (LU).

 

In order to achieve faster performance some processors contain more than one ALU. An example of this is an ALU for fixed-point operations and another included for floating-point operations. The ALU is a critical block within the CPU since the entire computer system's performance depends on the performance of the Arithmetic/Logic operations. Modern CPUs have multiple ALUs with a capability for applying multi-processing operations in order to increase their throughput. GBT's patent application seeks to cover a new ALU system and method with the goal of increasing the speed of instruction handling, arithmetic and logic computing processes. GBT believes that using multi-ALUs will increase CPU performance and in turn potentially lead to new, powerful computing systems and architectures. The presented concept includes new architecture circuitries and data flow to be executed in a specific way with the goal of achieving higher processing speed. The patent application covers ALU instructions that can be executed individually and/or in parallel.

 

"Our computing world is in a constant need for performance growth and vast engineering efforts are made in order to enable faster computing systems. Microchip technology, which directly dominates computing power, affects nearly every aspect of our lives, including medicine, communication, security and business interactions. We are witnessing constant advancements in the IC arena that lead to extraordinary increase in computer performance. Microprocessor companies are in a constant race to design multi-core CPUs in order to provide faster computing power for the constant demand. But we need to think further. We need to push the limits into new paradigms in order to achieve a major leap in computing power, given the fact that we are still limited by the physical restrictions of electrons moving through matter," stated Danny Rittman, GBT's Chief Technology Officer. "Since arithmetic and logic operations within microprocessors are the crucial factors for speed, we developed a new approach to the ALU. This new system and method introduce a different circuitry and machine language (Flow) with the goal of performing a much faster computation in an efficient algorithm, without any change in the computer hardware. We are seeking to introduce a different approach in the basic ALU calculations handling, that offers a possible way to make computers faster through parallel processing and pre-computation instructions execution, in order to achieve higher computing efficiency. We are taking into account the basic, traditional ALUs design concepts and changing them into out-of-the-box methodologies, so we can devise new kinds of arithmetic/logic operations that we believe are more efficient for computations. We are aiming to break the ultimate limitations of our traditional, decimal/binary approach within ALU by introducing new calculation methods. In order to keep up with the growing demand for high performance computing, hardware engineers are looking to alternatives like Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs) which are mainly based on parallel computing to execute more instructions at once rather than do basic operations faster. As Moore's Law is fading away, high performance computing will require a conceptual shift. As part of our R&D constant efforts to find new methods to improve our computing world, especially for advanced machine learning algorithms, we are seeking to develop new ideas with the goal of enabling high performance Arithmetic/Logic processing. The patent application seeks to protect a system and method. In parallel to filing the patent application, we plan to design an experimental, proof-of-concept microchip and test its performance against traditional ALUs."

 

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
GBT Technologies Inc.
Media: press@gopherprotocol.com

 

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

Investorideas.com

 

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The #AIEye #Podcast Episode 490: PostEra Partnering with Pfizer (NYSE: $PFE) to Accelerate Drug Discovery with #MachineLearning and Honeywell (NYSE: $HON) Announces Air Detective

The #AIEye #Podcast Episode 490: PostEra Partnering with Pfizer (NYSE: $PFE) to Accelerate Drug Discovery with #MachineLearning and Honeywell (NYSE: $HON) Announces Air Detective

 

Global AI Chip Market to Reach $253.3 Billion by 2030

 

Point Roberts WA, Vancouver BC – December 7, 2020  – 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/2020/120720-AI-Eye.mp3

 

Read this in full at http://www.investorideas.com/news/2020/artificial-intelligence/12071PostEra-Pfizer-Honeywell.asp

 

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

 

Stocks discussed: (NYSE:PFE) (NYSE:HON)

 

PostEra, a biotechnology company specializing in machine learning solutions for preclinical drug discovery, has announced a strategic partnership with Pfizer Inc. (NYSE:PFE), to accelerate “small molecule drug discovery by developing a platform technology based on generative chemistry.” According to the press release, PostEra’s ML achieves this “by designing novel molecular structures with optimised potency and drug-like properties.” Aaron Morris, CEO of PostEra, said:

 

"PostEra is delighted to be working with Pfizer to solve some of the key pain points in preclinical drug discovery. As a team we are proud to be entering this collaboration and will be leveraging PostEra's many advances in machine learning to help Pfizer accelerate progress toward novel therapeutics."

 

Honeywell International Inc. (NYSE:HON) has announced Honeywell Air Detective, a new airborne particle analyzer that leverages AI, machine learning, and cloud computing to “enable HVAC service providers and environmental testing professionals to better inform home and building owners of the quantity and type of particles present in the air.” Sarah Martin, president of Honeywell's Sensing and Internet of Things (IoT) business, explained:

 

"Understanding what is in the air inside your home or building is a top priority for owners. HVAC, environmental testing, and other service professionals are looking for innovative solutions that will help them test air quality on the spot and determine the specific equipment, service and system upgrades needed to improve the indoor air quality. We have developed a cost-effective, portable analyzer that uses holographic microscopy and cloud technology to 'take pictures' and classify airborne particles. Honeywell continues to provide solutions to help improve air quality for people while at home, on the job or when traveling."

 

Global AI Chip Market to Reach $253.3 Billion by 2030

 

A report published by Research and Markets finds that the global AI Chip market will grow from $9.29 billion in 2019 to $253.30 billion by 2030 with a compound annual growth rate (CAGR) of 35 percent in the forecast period 2020-2030. An excerpt from the report description outlines trends observed in the market:

 

With the growing technological advancements, the market is rapidly switching towards the smart devices, smart homes, and smart cities, where AI Chips are widely used. This has resulted in tremendous elevation of the demand for Artificial Intelligence (AI) Chip market. Moreover, increased investments in AI start-ups and the emergence of quantum computers are expected to boost the market growth. Also, rise in application of AI technology and robotics is expected to further propel the market growth.

 

However, high development costs and lack of skilled work-forces impede the artificial intelligence (AI) chip market. On the other hand, surge[s] in R&D, increase[s] in the use of autonomous robotics in various industry verticals, and launch of high-tech products are creating opportunities for the AI chip market.

 

Sam Mowers, Investorideas.com

 

Read and hear other editions of the AI  Eye

 

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About Investorideas.com - News that Inspires Big Investing Ideas Investorideas.com is a recognized news source publishing third party news, research and original financial content. Learn about investing in stocks and sector trends with our news alerts, articles, podcasts and videos, looking at cannabis, crypto, AI and IoT, mining, sports biotech, water, renewable energy and more. Investor Idea’s original branded content includes the following podcasts and columns : Crypto Corner , Play by Play sports and stock news column, Investor Ideas Potcasts Cannabis News and Stocks on the Move podcast and column,  Cleantech and Climate Change , Exploring Mining  the AI Eye .

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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  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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