#AIEye
#Podcast and Video - GBT’s CEO Discusses Apollo and #AI in Image Recognition; #artificialintelligence
AI
#Stocks discussed: (OTCPINK: $GTCH) (OTC: $BMWYY) (NasdaqGS: $NVDA)
Vancouver, Kelowna, Delta, BC – August 26, 2022 –
Investorideas.com (www.investorideas.com), a global investor news source covering
Artificial Intelligence (AI) stocks
releases an exclusive podcast with AI innovator GBT Technologies Inc. (OTC PINK:GTCH) and a sector snapshot
looking at the growing AI tech implementation in the autonomous vehicles market
via image recognition and computer vision.
Listen
to today's podcast:
https://www.investorideas.com/Audio/Podcasts/2022/082522-AI-Eye-GBT.mp3
Read this in full at https://www.investorideas.com/news/2022/artificial-intelligence/08261GBT-Apollo-Image-Recognition.asp
Watch
the Video on Investorideas.com YouTube Channel:
https://www.youtube.com/watch?v=CAwEAG5XYz4
Danny Rittman, CTO of GBT Technologies Inc. (OTC PINK:GTCH), recently spoke to
Investorideas.com about the company’s intelligent, wireless, motion detection
patented technology, codenamed “Apollo.”
“We actually consider Apollo to be one of our major
IPs,” Rittman said. “The main idea of the Apollo is its capability of sending
electromagnetic waves (i.e. radio waves) through the air, receiving reflections
from objects and living entities, and basically analyzing this information to
construct 2D or 3D images.”
The Apollo system leverages AI algorithms to control
and analyze the radio wave transmissions to render these images. Rittman
explained the technology’s potential applicability in autonomous vehicles.
“It can be used, for example, in autonomous vehicles,
wherein it can transmit forward or around the vehicle and identify and map all
objects and living entities so that an AI can understand what’s going on around
the vehicle,” Rittman said. “And because it does this with radio waves, the
response time is almost real time, so it’s very fast and efficient.”
Earlier this year, the BMW Group (OTC:BMWYY) published a synthesized AI dataset called SORDI
(Synthetic Object Recognition Dataset for Industries), described as “the
world’s largest reference dataset for artificial intelligence in the field of
manufacturing,” which consists of more than 800,000 photorealistic images.
SORDI, according to the press release, “can be utilised by IT professionals to
develop and tailor AI solutions for manufacturing, and by production employees
to maintain mature AI systems for validation purposes ready for the start of
production.” Michele Melchiorre, Senior Vice President of BMW Group Production
System, Planning, Tool and Plant Engineering, explained the significance of
this publication:
“The
BMW Group has been using artificial intelligence since 2019. AI has already
been utilised in various quality assurance applications in production at the
plants. SORDI, the new, synthetic dataset makes AI models much faster to train
and AI considerably more cost-efficient in production.”
Elsewhere, artificial intelligence and machine learning
firm Hayden AI announced that it has joined NVIDIA (NasdaqGS:NVDA) Metropolis, “a partner program
focused on bringing to market a new generation of vision AI applications.”
Hayden AI will leverage the NVIDIA Jetson edge AI platform for the development
of AI and machine learning technologies for its traffic enforcement platform.
Vaibhav Ghadiok, co-founder and Executive Vice President of Engineering at
Hayden AI said:
“What
differentiates Hayden AI’s automated traffic enforcement platform from our
competitors is our unique ability to process traffic violations in real time at
the edge, making Hayden AI a privacy-first platform. Hayden AI strives to
continually improve the performance and feature offering to our customers, and
NVIDIA software enables faster development cycles, making the transition from development
to production seamless."
Rittman explained how GBT’s Apollo could also be
employed in a healthcare setting.
“Another possible application is that it can be used to
look inside the human body,” he said. “It can be used as a computer vision system,
meant to be used outside the body in a non-invasive way. It can look into veins
and find clogs, just through the reflection and identification of different
materials inside the vein, providing vital health-related information that
could literally save lives.”
Rittman elaborated in a press release from GBT published
earlier this year,
“…one
possible application is an external, non-invasive artery's clogs imaging
system. A small probe, like a common ultrasound unit, can scan the human body's
arteries, providing 3D imaging of arteries and veins, detecting life
threatening blockages.”
Rittman also stressed the importance of GBT’s security
provisions for Apollo.
“Apollo’s network system consists of a radio network, a
network for communication with the AI, a connection with the server etc…,” he
said. “These are naturally vulnerable to hacking or data theft, so Apollo
actually employs a few types of cybersecurity mechanisms. One of these is
blockchain. Blockchain is very efficient with regard to data preservation,
cybersecurity preservation, and ensuring privacy.”
For
a list of artificial intelligence stocks on Investorideas.com visit
here
About
GBT Technologies Inc.
GBT
Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development stage company which considers
itself a native of Internet of Things (IoT), Artificial Intelligence (AI) and
Enabled Mobile Technology Platforms used to increase IC performance. GBT has
assembled a team with extensive technology expertise and is building an
intellectual property portfolio consisting of many patents. GBT’s mission, to
license the technology and IP to synergetic partners in the areas of hardware
and software. Once commercialized, it is GBT’s goal to have a suite of products
including smart microchips, AI, encryption, Blockchain, IC design, mobile
security applications, database management protocols, with tracking and
supporting cloud software (without the need for GPS). GBT envisions this system
as a creation of a global mesh network using advanced nodes and super
performing new generation IC technology. The core of the system will be its
advanced microchip technology; technology that can be installed in any mobile
or fixed device worldwide. GBT’s vision is to produce this system as a low
cost, secure, private-mesh-network between any and all enabled devices. Thus,
providing shared processing, advanced mobile database management and sharing
while using these enhanced mobile features as an alternative to traditional
carrier services.
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