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Thursday, July 28, 2022

#AIEye #Podcast 714: #Stocks discussed: (OTCPINK: $GTCH) (NYSE: $PLTR) #artificialintelligence



 

 

#AIEye #Podcast 714: #Stocks discussed: (OTCPINK: $GTCH) (NYSE: $PLTR) #artificialintelligence

 

GBT Releases New Version of Hippocrates Web App, and Palantir Announces $99.9M Contract with US Army Research Lab for AI/ML

 

Global #AI in #DrugDiscovery to Reach $4B by 2027

 

Vancouver, Kelowna, Delta, BC – July 28, 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/2022/072822-AI-Eye.mp3

 

Read this in full at https://www.investorideas.com/news/2022/artificial-intelligence/07281GTCH-PLTR.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) (NYSE:PLTR)

 

GBT Technologies Inc. (OTC PINK:GTCH) has announced that it is releasing a new version of the web application for its Hippocrates machine learning driven health content provider. The new application will leverage the company’s Avant! AI engine to “provide intelligent internet search, providing answers for general or specific health related questions.” Danny Rittman, GBT’s CTO, explained:

 

"This is only one of the many possible implementations of our core Avant! AI technology. The AI system is targeted to understand a user's question, analyzing the information and providing a targeted response. Hippocrates' new release is equipped with an initial vast amount of health-related data and is situated to cognitively grow its knowledge base over time, learning from its own experiences or by training, the same way a human does. We invested vast efforts with the new release, incorporating professional, accredited data from governmental and medical documentation resources. The current release is aimed to provide a first line of health-related information. In addition, it offers Avant! intelligent internet search to provide answers and information for health-related questions. The system is not aiming to replace physicians but to provide first line health information and guidelines. We also plan to seek clinics and hospitals as partners to provide an expert assistant in specific domains, for example cardiology or pediatrics expertise.”

 

Palantir Technologies Inc. (NYSE:PLTR) has announced a two-year contract worth $99.9 million USD with the U.S. Army Research Laboratory to implement data and artificial intelligence (AI)/machine learning (ML) capabilities for users across the combatant commands (COCOMs). Akash Jain, President of Palantir USG, said:

 

"Maintaining a leading edge through technology is foundational to our mission and partnership with the Army Research Laboratory. Our nation’s armed forces require best-in-class software to fulfill their missions today while rapidly iterating on the capabilities they will need for tomorrow’s fight. We are honored to support this critical work by teaming up to deliver the most advanced operational AI capabilities available with dozens of commercial and public sector partners."

 

Global AI in Drug Discovery to Reach $4B by 2027

 

A report published by Markets and Markets finds that the global AI in Drug Discovery market is projected to grow from $600 million USD in 2022 to $4 billion by 2027, registering a compound annual growth rate (CAGR) of 45.7 percent in the forecast period. The following excerpt from the report’s description outlines the significance of Deep Learning as a driving aspect of the market:

 

Based on type, the machine learning technology segment further segmented into deep learning, supervised learning. reinforcement learning, unsupervised learning, and other machine learning technologies. Deep learning segment accounted for the largest share of the market in 2021, and this segment is also expected to grow at the highest CAGR during the forecast period. Deep learning helps in managing data in a consistent manner, saves time, reduces the chances of errors in the drug discovery process, and reduces the workload for end users are some of the key factors for the market growth of this segment.

 

Sam Mowers, Investorideas.com

 

Read and hear other editions of the AI  Eye

 

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