The
#AIEye: GBT Technologies (OTCPINK: $GTCH) to Develop LSTM RNN and Intel
(Nasdaq: $INTC) Subsidiary Mobileye Secures Agreements with SAIC and Daegu
Metropolitan City
Global
#AI Chipset Market to Reach $38.46 Billion by 2023
Point
Roberts WA, Vancouver BC – January 9, 2020
– 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
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Today’s Column- The AI Eye- Watching stock
news, deal tracker and advancements in artificial intelligence
Stocks discussed:
(OTCPINK:GTCH) (NasdaqGS:INTC)
GBT
Technologies Inc. (OTCPINK:GTCH) is developing a new
LSTM (Long/Short Term Memory) RNN (Recurrent Neural Network), which “will be
based on GBT's upcoming communication IC patent (patent grant expected Q1 2020)
with a goal of dramatically expanding its AI-controlled microchip technology
platform.” Danny Rittman, GBT's CTO, explained:
"Our goal is
for this new RNN to enable high-capacity, high-speed AI based analytics and
data processing, which is crucial for advanced computing for use in autonomous
vehicles and similar applications. As we evolve towards vast, ever-changing
conditions, it becomes crucial to be able to build a fast, self-learning,
self-training system that is capable of remembering past events for a long
time. Decisions will have to be taken rapidly based on an event's point in
time, importance and priority.
Imagine an
autonomous vehicle with ever-changing events. We are developing our new RNN to
learn on its own about these events, perform an analysis, evaluate a numerous
amount of possible solutions, make an optimal decision and execute it. That is
why we are creating a new architecture LSTM hierarchical algorithm in order to
enable high-speed, high-capacity data input with point of time consideration.
The world of computing has evolved dramatically over the past decade as we
generate data at a faster rate than we can analyze it. The new RNN is targeted
to be implemented within GBT's microchip's technologies. It's a powerful AI
platform targeted to a wide variety of applications including autonomous
vehicles, robotics, medicine and civil/military security systems. GBT foresee
an on-going development for this new family of RNN algorithms with the goal of
creating superior real-time, accurate decision making systems."
Mobileye,
an Israel-based subsidiary of Intel Corporation (NasdaqGS:INTC), announced agreements with
SAIC, a leading Chinese OEM, and the leaders of Daegu Metropolitan City, South
Korea. According to the press
release, SAIC “plans to use Mobileye’s REM mapping technology
to map China for L2+ ADAS [advanced driver-assistance systems] deployment while
paving the way for autonomous vehicles in the country,” while Daegu “agreed to
establish a long-term cooperation to deploy MaaS based on Mobileye’s
self-driving system.” Amnon Shashua, Mobileye president & CEO and Intel
senior vice president, said:
"These two new
agreements build our global footprint in both MaaS and ADAS and demonstrate our
commitment to true global leadership toward full autonomy."
Global AI Chipset
Market to Reach $38.46 Billion by 2023
A
report from Market
Research Future finds that the global AI Chipset market
will grow from $4.29 billion in 2018 to $38.46 billion by 2023 with a compound
annual growth rate (CAGR) of 39.18 percent in the forecast period. An excerpt
from the report description defines and outline the market:
Artificial
intelligence (AI) chipsets are silicon-based chips powered with AI
technologies, such as machine learning, deep learning, natural language
processing, and neural network processing. These chipsets are designed such
that they consume low power and offer high computing capabilities to smart
devices, such as smartphones, laptops, and smart wearables. These chipsets
increase the operational performance of the device with advanced augment
reality (AR), virtual reality (VR), and analytical functions and enhance the
user experience.
The increasing
number of AI-enabled applications, developments in big data analytics, and the
use of AI-based products and services to improve consumer experience are
factors expected to drive the artificial intelligence (AI) chipset market
during the forecast period. However, the lack of technical expertise and AI
standards are expected to restrain the market growth during the forecast
period. Further, integration of AI with edge computing devices and development
of human-aware AI systems are expected to act as an opportunity for the global
artificial intelligence (AI) chipset market during the forecast period.
Sam
Mowers, Investorideas.com
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