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Wednesday, March 18, 2020

The #AIEye: VSBLTY (CSE: $VSBY.C) (OTC: $VSBGF) Provides Corporate Update and Intel (NasdaqGS: $INTC) Announces Readiness of Neuromorphic Research System

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  – (, 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: (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,

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