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Friday, January 14, 2022

#AIEye #Podcast 648: #Stocks discussed: (NasdaqGS: $MSFT) (NasdaqCM: $POAI) #ArtficialIntelligence



 

#AIEye #Podcast 648: #Stocks discussed: (NasdaqGS: $MSFT) (NasdaqCM: $POAI) #ArtficialIntelligence

 

Microsoft Forms AI Industry Innovation Coalition with US Companies and Organizations, and Predictive Oncology Reports Results from AI Cancer Drug Program

 

Global #Mobile #AI market to Reach $22.08B by 2026

 

Point Roberts WA, Vancouver BC – January 14, 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

 

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https://www.investorideas.com/Audio/Podcasts/2022/011422-AI-Eye.mp3

 

Read this in full at https://www.investorideas.com/news/2022/artificial-intelligence/01141MSFT-POAI.asp

 

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

 

Stocks discussed: (NasdaqGS:MSFT) (NasdaqCM:POAI)

 

Yesterday it was announced that Microsoft (NasdaqGS:MSFT), along with several leading public, private, educational and research organizations across the U.S. healthcare and life sciences industries (the Brookings Institution, Cleveland Clinic, Duke Health, Intermountain Healthcare, and more) had formed the Artificial Intelligence Industry Innovation Coalition (AI3C). The aim of the coalition is to maximize “technology to provide recommendations, tooling and best practices for AI in healthcare.” Patty Obermaier, vice president, US Health and Life Sciences, Microsoft, said:

 

"The goal of the newly created AI3C is to establish a pragmatic coalition with public and private organizations to advance health by identifying and addressing significant societal and industry barriers. I am excited about the launch of AI3C and working with its distinguished board as we continue the momentum toward serving the needs of patients and communities through AI innovation."

 

Predictive Oncology Inc. (NasdaqCM:POAI) has reported the preliminary results of its Discovery 2021 program. The program combines proprietary knowledgebase, the AI Machine Learning Program and the TruTumor platform from its subsidiary, Helomics, to create the drug discovery approach PeDAL (Patient-centric Discovery by Active Learning). J. Melville Engle, CEO, Chairman of Predictive Oncology Inc., explained:

 

“PeDAL leads to a better selection of drugs, matching the different cancer types to the patients associated with those cancers and potential treatments, improving the scientific and clinical success of drug development. This also translates to millions of dollars in reduced development costs for our future partners. PeDAL can now deliver a proven system that efficiently drives drug response experiments and pulls patient-centric data into the discovery process.”

 

Global Mobile AI market to Reach $22.08B by 2026

 

A report published by Research and Markets finds that the global Mobile Artificial Intelligence market will grow from about $7.2 billion USD in 2021 to $22.08 billion by 2026, registering a compound annual growth rate (CAGR) of 25.12 percent in the forecast period. The following excerpt from the report’s description outlines some key influences on the market’s growth:

 

Factors such as growing demands for artificial intelligence (AI) in smartphones, rising need for AI-capable processors, and rising investment in AI technologies fuel the growth of the mobile artificial intelligence (AI) market. Artificial intelligence technology is widely employed in various ground-breaking applications in manufacturing, automotive, and video games. AI technology is now used in the smartphone business, and it extends well beyond applications such as digital assistants. Several smartphone makers are striving to create AI capabilities that meet the expectations of their customers. For the worldwide mobile artificial intelligence (AI) industry, more investment in inexpensive AI processors and R&D dedicated to camera applications is an opportunity.

 

The high cost of artificial processors, on the other hand, is a key stumbling block to the worldwide mobile artificial intelligence (AI) market's development.

 

Sam Mowers, Investorideas.com

 

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