#AIEye #Podcast 555- #Stocks discussed: (OTCPINK: $GTCH) (NYSE: $SLB) (NYSE: $NOV);
#Artificialintelligence
GBT
Files Patent for IC Reliability Verification Analysis, and Schlumberger
Announces Collaboration with NOV
Global
Neuromorphic Computing Market to Reach $550.593M by 2026
Point Roberts WA, Vancouver BC – May 12, 2021 – 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).
Listen
to today’s podcast:
https://www.investorideas.com/Audio/Podcasts/2021/051221-AI-Eye.mp3
Read
this in full at https://www.investorideas.com/news/2021/artificial-intelligence/05121GTCH-SLB-NOV.asp
Today’s
Column- The
AI Eye- Watching stock news, deal tracker and advancements
in artificial intelligence
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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