The
#AIEye: VSBLTY (CSE: $VSBY.C) (OTC: $VSBGF) Provides Corporate Update and Intel
(NasdaqGS: $INTC) Announces Readiness of Neuromorphic Research System
Global
#AI in Agriculture to Reach $11.2 Billion by 2030
Point Roberts WA, Vancouver BC – March 18, 2020 – Investorideas.com (www.investorideas.com), a global investor news source covering
Artificial Intelligence (AI) brings you today’s edition of The
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Stocks
discussed: (CSE:VSBY) (5VS.F) (OTC:VSBGF) (NasdaqGS:INTC)
VSBLTY Groupe Technologies Corp. (CSE:VSBY) (5VS.F) (OTC:VSBGF) has provided a corporate update, revealing that the company has booked
revenue exceeding $1 million USD in Q1. VSBLTY Co-founder & CEO Jay Hutton
explained:
"Our
key channel and development partners are driving adoption with major retailers,
brands and infrastructure. This is why we spent the time and resources to get
these partnerships in place in 2019. We finished strongly last year with the
best bookings quarter in the company history. In the first quarter of 2020 the
company will exceed bookings of more than one million dollars USD. In fact. Q2
is looking even better than Q1. We have three major healthcare and consumer
related retail deployments scheduled to begin in the U.S. and Canada. Smart,
custom digital displays with interactive technology are designed to educate
consumers with critical, personalized information so that they can better
manage their own health and wellness."
Intel Corporation (NasdaqGS:INTC)
has announced the readiness of its neuromorphic
research system Pohoiki Springs, which according to the press release, provides
“the computational capacity of 100 million neurons.” Mike Davies, director of
Intel’s Neuromorphic Computing Lab, commented:
"Pohoiki
Springs scales up our Loihi neuromorphic research chip by more than 750 times,
while operating at a power level of under 500 watts. The system enables our
research partners to explore ways to accelerate workloads that run slowly today
on conventional architectures, including high-performance computing (HPC)
systems."
An excerpt from the press release outlines the
technology:
Loihi
processors take inspiration from the human brain. Like the brain, Loihi can
process certain demanding workloads up to 1,000 times faster and 10,000 times
more efficiently than conventional processors. Pohoiki Springs is the next step
in scaling this architecture to assess its potential to solve not just
artificial intelligence (AI) problems, but a wide range of computationally
difficult problems. Intel researchers believe the extreme parallelism and
asynchronous signaling of neuromorphic systems may provide significant
performance gains at dramatically reduced power levels compared with the most
advanced conventional computers available today.
Global
AI in Agriculture to Reach $11.2 Billion by 2030
A report from Prescient & Strategic Intelligence finds that the
global AI in Agriculture market will grow from $671.6 million in 2019 to $11.2
billion in 2030 with a compound annual growth rate (CAGR) of 30.5 percent in
the forecast period. An excerpt from the report description outlines the
market:
Increasing
use of smart sensors in agriculture is a major trend observed in the AI in
agriculture market. With [the] rise in precision agriculture practices, there
has been an increasing use of sensors in the agricultural fields. Through the
use of sensor-based technology in agriculture, farmers are now able to map their
crop fields accurately, and can also monitor and apply crop treatments only to
areas that need it. The rise in development of various operation specific
sensors, such as location sensors, optical sensors, electrochemical sensors,
mechanical sensors, airflow sensors, soil moisture sensors, and weather
sensors, is helping farmers in monitoring and optimizing yields of crops, as
well as making them adaptable to changing environmental factors effectively.
Growing
demand for monitoring of livestock is one of the prime factors driving the AI
in agriculture market. Livestock plays an important role in fulfilling the
demand for meat, milk, eggs, and wool. With changing lifestyles, growing
population, and increase in per-capita income level, there is a rise in meat,
eggs, and milk consumption globally. To fulfill the demand for protein rich
foods, [the] health of livestock needs to be monitored on a regular basis.
The
advanced applications of AI solutions, such as facial recognition, help to
diagnose abnormal cows before they show severe symptoms and reduce additional
expenses spent on vaccinations and food. For instance, in China, an AI company
is developing a livestock health monitoring system with facial recognition for
managing [a] herd of cows. Hence, with increasing use of AI for monitoring the
health of livestock, the market for AI in agriculture is growing across the
globe.
Sam Mowers, Investorideas.com
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