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AI Eye Podcast 594: Stocks discussed: (OTCPINK: $GTCH) (NYSE: $IBM)

GBT Testing NVIS Antenna Tech for Infinia Long Range Communication, and IBM Unveils Telum Processor with On-Chip AI Acceleration

 

Point Roberts, WA and Vancouver, BC - August 23, 2021 (Investorideas.com Newswire) 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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AI Eye Podcast 594: Stocks discussed: (OTCPINK: $GTCH) (NYSE: $IBM)

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

AI Eye Episode 594: GBT Testing NVIS Antenna Tech for Infinia Long Range Communication, and IBM Unveils Telum Processor with On-Chip AI Acceleration

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

GBT Technologies Inc. (OTC PINK:GTCH) has announced that it is now testing Near Vertical Incidence Skywave (NVIS) Antenna Technology for its Infinia long range communication. NVIS is described in the press release as "a type of ionospheric radio transmission that can be used to fill the gaps between line of sight and longer distance skip zones that are used at HF bands." The company's CTO, Danny Rittman, explained:

"This type of technology requires the use of unique antennas that are designed specifically for this type of communication. Typical HF radio antennas provide a much lower angle of radiation and therefore a specifically designed antenna will be used.

These antennas provide a high angle of transmission that is necessary for NVIS propagation. We will use horizontally polarized, horizontal dipoles and loop antennas for the system's testing. The main challenge of an HF communication system is to provide coverage for the dead zones. NVIS utilizes the difference in elevation pattern responses approaching or reaching 90 degrees. Using this type of antenna technology with an appropriate frequency selection will potentially establish reliable communication to cover HF dead zones. Utilizing AI algorithms, we aim to implement smart, self-tuning antennas along with frequency selection to achieve automatic, optimal performance and complete coverage. In areas where no modern communication infrastructure exists, NVIS radio wave propagation may provide contact to the outside world enabling remote location emergency response, telemedicine and modern world communication, including the internet."

IBM (NYSE:IBM) has unveiled details of the upcoming Telum Processor, which aims to bring deep learning inference to enterprise workloads, helping to address fraud in real-time, and which will contain on-chip acceleration for AI inferencing while a transaction is taking place. An excerpt from the press release reads:

The new chip features an innovative centralized design, which allows clients to leverage the full power of the AI processor for AI-specific workloads, making it ideal for financial services workloads like fraud detection, loan processing, clearing and settlement of trades, anti-money laundering and risk analysis. With these new innovations, clients will be positioned to enhance existing rules-based fraud detection or use machine learning, accelerate credit approval processes, improve customer service and profitability, identify which trades or transactions may fail, and propose solutions to create a more efficient settlement process.

Global AI in Food and Beverages Market to Reach $29.45B by End of 2026

A report published by Facts & Factors finds that the global AI in Food and Beverages market will grow from $3.07 billion in 2020 to $29.45 billion by the end of 2026, registering a compound annual growth rate (CAGR) of roughly 45.7 percent in the forecast period 2021-2026. An excerpt from the report's summary outlines factors driving the market's growth:

Artificial Intelligence (AI) in Food and Beverage Market is projected to be driven by the growing need to analyze consumer buying behavior and predict inventory levels to reduce food waste. The rising need for AI implementation to improve supply chain processes is expected to boost AI in the food and beverages market within the forecast period. Furthermore, increasing research and development activities, as well as modernization and technological advancements in the devices used to monitor artificial intelligence in the food sector, will create new opportunities for artificial intelligence in the food & beverages market over the forecast period

Sam Mowers, Investorideas.com

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