Wednesday, December 14, 2022

#AIEye #Podcast 744: #Stocks discussed: (OTCPINK: $GTCH) (ASX:BRN) (NasdaqGS: $INTC)



 

 

#AIEye #Podcast 744: #Stocks discussed: (OTCPINK: $GTCH) (ASX:BRN) (NasdaqGS: $INTC)

 

GBT Files Continuation Application for AI-Powered Facial/Body Recognition Patent, and BrainChip Joins Intel Foundry Services

 

Market for #MachineLearning to Reach $278.56B by 2028

 

Vancouver, Kelowna, Delta, BC – December 14, 2022  – 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).

 

Listen to today’s podcast:

https://www.investorideas.com/Audio/Podcasts/2022/121422-AI-Eye.mp3

 

Read this in full at https://www.investorideas.com/news/2022/artificial-intelligence/12141GTCH-BRN-INTC.asp

 

Hear the Ai Eye on Spotify  

 

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

 

Stocks discussed: (OTCPINK:GTCH) (ASX:BRN) (NasdaqGS:INTC)

 

GBT Technologies Inc. (OTC PINK:GTCH) has filed a continuation application with the United States Patent and Trademark Office for its facial and body recognition, non-provisional patent. Employing machine learning techniques, this technology aims “to classify human facial and bodily features, enabling security functions like locking and unlocking of smartphones and computers.” Danny Rittman, the company’s CTO, explained:

 

“The patent application describes a technology that learns from observational information and constructs a dataset that describes a three-dimensional figure of humans and objects. We believe this type of system can be efficient for security applications. For example, identifying a person-of-interest in crowded locations among them are airports, conferences and shopping centers. We believe another possible efficient application is facial identification for locking/unlocking electronic devices. As security systems have been significantly evolved in the past decades, particularly for mobile devices and computers, this type of technology can offer a strong protection layer against privacy and data theft.”

 

BrainChip Holdings Ltd (ASX:BRN) has announced that it has become a member of the Intel Foundry Services (IFS) ecosystem alliance to help advance innovation on Intel's (NasdaqGS:INTC) foundry manufacturing platform. In particular, BrainChip has joined the IFS Accelerator - IP Alliance, in which it will integrate AI into the Systems-On-Chip (SoC), delivering “efficient compute and the unique learning and performance requirements of Edge AI.” Anil Mankar, Chief Development Officer at BrainChip, said:

 

"We are proud to partner with Intel as part of its IFS Accelerator - IP Alliance. The combination of BrainChip's Akida IP and Intel's leading technology helps ensure that customers looking to implement edge AI acceleration and learning have the tools and resources to accelerate their success."

 

Market for Machine Learning to Reach $278.56B by 2028

 

A report published by Stratview Research finds that the market for Machine Learning is projected to grow from $21.5 billion USD in 2021 to $276.58 billion by 2028, registering a compound annual growth rate (CAGR) of 44 percent in the forecast period. The following excerpt from the report’s summary outlines some key trends influencing the market’s growth:

 

Growing developments in technology resulting in a higher accuracy of systems is a key factor augmenting the market growth. People interact with several systems that are based on machine learning such as voice recognition systems, recommender systems, and image recognition systems. Significant technological advancement in image recognition systems has spurred the system's accuracy, thereby bolstering industry growth.

 

Sam Mowers, Investorideas.com

 

Read and hear other editions of the AI  Eye

 

For a list of artificial intelligence stocks on Investorideas.com visit here

 

 

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