The
#AIEye: GBT Technologies (OTC: $GTCH) Begins Development of Graph Neural
Network Algorithms to Enhance Avant! AI and IBM (NYSE: $IBM) Launches #AI-Powered
Maximo Asset Monitor
Global
Edge AI Software Market to Reach $1.668 Billion USD by 2026
Point Roberts WA, Vancouver BC – November 6, 2019 – 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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Today’s
Column- The
AI Eye- Watching stock news, deal tracker and advancements
in artificial intelligence
Stocks
discussed: (OTCPINK:GTCH) (NYSE:IBM)
GBT Technologies Inc. (OTCPINK:GTCH) has begun development of Graph Neural Network
(GNN) based autonomous machine algorithms as part of the research to enhance
its Avant! AI. According to the press release, GNN is “a type of Neural Network
which directly operates on the Graph structure, modeling the dependencies
between nodes in a graph and enabling advanced algorithms in a supervised
manner”. Danny Rittman, GBT's CTO, explained:
"We
develop advanced AI technology to solve problems that only humans could have
solved in the past. Through our development projects, we are seeking to
implement our deep learning technology specifically for conditions including
autonomous cars. Avant! already includes advanced pattern recognition, sequence
learning, and neural network graphs, and now our goal is to expand into
supervised, dynamic GNN based algorithms to sharpen its learning curve and
decision making.
Avant!'s
new class of neural networks – the GNNs – will capture the dependence of vast
amounts of nodes, each node representing a condition/situation, and will build
a dependency tree in order to create reasoning models. The outcome of this
development is a sophisticated AI system which is a perfect match for safe autonomous
vehicles.
Besides
the complex task of getting constant inputs about the vehicle and its
surroundings conditions, analyzing it and making decisions in real time, we
also target Avant! to become personalized to the user, learning his or her
habits and life style, advising about anything from what type of coffee to buy
or keeping them on schedule for an appointment."
IBM (NYSE:IBM) has launched a new AI-powered monitoring solution
called Maximo Asset Monitor, aimed at improving asset management capabilities.
Leveraging predictive analytics and AI-powered pattern recognition and anomaly
detection, Maximo Asset Monitor will “help teams respond quickly to the most
critical anomalies and gain greater insights into root cause variables that
lead to asset failure”. Kareem Yusuf, Ph.D., general manager, IBM IoT,
commented:
"With
the launch of the new Maximo Asset Monitor solution, IBM is helping
organizations better understand their data and automate workflows with
preventative, predictive and prescriptive maintenance actions to help extend
asset life and improve operations. According to IDC, monitoring performance and
scheduling repairs with predictive maintenance can reduce maintenance costs by
15-20%, improve asset availability by 20%, and extend the lives of machines by
years."
Global
Edge AI Software Market to Reach $1.668 Billion USD by 2026
Research from Market Insights Reports finds that the global
Edge AI Software market will grow from $354.2 million in 2018 to $1.668 billion
by the end of 2025 with a compound annual growth rate (CAGR) of 24.8 percent.
An excerpt from the report description defines the market:
Edge
AI software enables aggregation, processing, computation, and analysis of data
present near or on the edge devices by leveraging AI and IoT technologies. The
software helps to process data on edge nodes even in remote and decentralized
networks, without cloud connectivity.
Integrating
AI with IoT in edge devices helps enterprises to minimize latency, reduce
bandwidth, lessen threats, avoid duplication, improve reliability, and maintain
compliance. Moreover, edge AI software solutions enable an organization to utilize
the computing resources in an optimal manner, minimize the bandwidth required
to execute the solution, and lower the latency in particular response time.
Sam
Mowers, Investorideas.com
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artificial intelligence stocks on Investorideas.com visit
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