#AIEye #Podcast and Video - #AI in Image
Recognition - (OTCPINK: $GTCH) (OTC: $BMWYY) (NasdaqGS: $NVDA)
#artificialintelligence
Vancouver,
Kelowna, Delta, BC – August 29, 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/08291AI-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.”
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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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