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AI Eye Podcast 555: Stocks discussed: (OTCPINK: $GTCH) (NYSE: $SLB) (NYSE: $NOV)

Point Roberts, WA and Vancouver, BC – May 12, 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 555: Stocks discussed: (OTCPINK: $GTCH) (NYSE: $SLB) (NYSE: $NOV)

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Today’s ColumnThe AI Eye – Watching stock news, deal tracker and advancements in artificial intelligence

AI Eye Episode 555: GBT Files Patent for IC Reliability Verification Analysis, and Schlumberger Announces Collaboration with NOV

Stocks discussed: (OTCPINK:GTCH) (NYSE:SLB) (NYSE:NOV)

GBT Technologies Inc. (OTC PINK:GTCH) has filed a patent application with the United States Patent and Trademark Office (USPTO) covering Integrated Circuits reliability verification analysis. Empowered by the company’s AI capabilities for rapid image recognition and vast data analysis, the patent seeks to protect systems and methods to check and correct microchips layout for reliability violations. GBT’s CTO, Danny Rittman, explained:

“Advanced integrated circuits mask layout design is becoming more challenging particularly due to the fact that geometries are getting smaller and more complex. Microchips’ reliability models are based on physics-of-failure mechanisms and as manufacturing processes go smaller electrical issues significantly rise. The industry is continuously scaling down semiconductor feature sizes which raises challenges in developing reliable electronic circuits with the constant demand for lower power consumption and more features. We have developed a system and method with the intended goal to analyze IC mask layout data for reliability issues, identifying “weak-spots” that are prone for failure.”

Schlumberger Limited (NYSE:SLB) has announced a collaboration with NOV Inc. (NYSE:NOV) to accelerate automated drilling solutions adoption by oil and gas operators and drilling contractors. Advanced AI from the Schlumberger DrillOps on-target well delivery solution works with NOV’s NOVOS process-automation platform controls “to manage compliance to procedure and to reach best-in-class operational performance.” Olivier Le Peuch, CEO, Schlumberger, said:

“We are pleased to collaborate with NOV and to integrate their rig automation interface with our drilling automation solutions to unlock higher performance for operators and drilling contractors. Leveraging downhole and surface automation applications, we can deliver enhancements in operations safety and efficiency, and deliver top-quartile wells for our customers consistently. This partnership will help accelerate customers’ adoption of drilling automation technologies, enabling superior well construction performance.”

Global Neuromorphic Computing Market to Reach $550.593M by 2026

A report published by Research and Markets finds that the global Neuromorphic Computing market will grow from $22.743 million in 2021 to $550.593 million by 2026 with a compound annual growth rate (CAGR) of 89.1 percent in that forecast period. An excerpt from the report’s description reads:

The need for better performing ICs, increase in demand for artificial intelligence and machine learning, and increasing number of cross-industry partnerships and collaborations are key factors driving the growth of the market. Artificial intelligence (AI) is being adopted in industries such as medical, media, entertainment, telecom, utility, aerospace, military, consumer devices, food & beverages, and piping.

A combination of AI systems and machine learning is set to revolutionize the business environment with smart decisions. However, lack of knowledge about neuromorphic computing and complex algorithms increasing complexity of designing hardware of neuromorphic chips can act as a major challenge in the market during the forecast period.

Sam Mowers, Investorideas.com

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