The
#AIEye: GBT (OTC PINK: $GTCH) Commences R&D in ML and Analog Computing, AWS
(Nasdaq: $AMZN) Makes G4 Instances Generally Available and FICO (NYSE: $FICO) Announces
Falcon X for Fraud Detection and Financial Crime
#AI
in Healthcare to Reach Higher Than $40.2 Billion Globally by 2026
Point Roberts WA, Vancouver BC – September 23,
2019 – 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 intelligence.
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Today’s
Column- The
AI Eye- Watching stock news, deal tracker and advancements
in artificial intelligence
Stocks
discussed: (OTC PINK:GTCH) (NasdaqGS:AMZN) (NYSE:FICO)
GBT Technologies Inc. (OTC PINK:GTCH) has commenced R&D activities for machine
learning and analog computing, specifically targeting the area of robotics. The
firm plans to research analog computing to improve computational efficiency,
with the aim of providing machine learning algorithms with better resilience to
noise and uncertainty, and avoiding a trade-off between accuracy and numerical
precision. Danny Rittman, GBT's CTO, explained:
"With
this new research activity we are laying the foundation of a true human-like
learning system. Analog computing for machine learning enables robots to
interact with humans, not only based on visual cues, but also according to tone
of speech and body language. Our AI technology plans to incorporate both high
and low-level computing, which we believe is a more accurate model of human
intelligence.”
Amazon Web Services (AWS), a subsidiary of Amazon (NasdaqGS:AMZN), has announced the general availability of G4 instances, a new
GPU-powered Amazon Elastic Compute Cloud (Amazon EC2) instance designed to help
accelerate machine learning inference and graphics-intensive workloads.
According to the press release, G4 instances leverage machine learning to
improve adding metadata to an image, object detection, recommender systems,
automated speech recognition, and language translation. Matt Garman, Vice
President, Compute Services, AWS, commented:
“We focus on solving the toughest challenges that hold
our customers back from taking advantage of compute intensive applications. AWS
offers the most comprehensive portfolio to build, train, and deploy machine
learning models powered by Amazon EC2’s broad selection of instance types
optimized for different machine learning use cases. With new G4 instances,
we’re making it more affordable to put machine learning in the hands of every
developer. And with support for the latest video decode protocols, customers
running graphics applications on G4 instances get superior graphics performance
over G3 instances at the same cost.”
Fair Isaac Corporation (NYSE:FICO) announced Falcon X today, which leverages
machine learning models and robotic process automation to deliver a unified
environment for the detection and investigation of both fraud and financial
crimes. Jason Keegan, who oversees the fraud line of business for FICO, said:
"The worldwide rollout of real-time payments —
including person-to-person transfers and mobile payments — has given rise to
criminal threats that thrive on the fact that these payments are often
irrevocable. Criminals have exploited the rigid infrastructure that underpins
our global financial system. This has allowed them to not only commit theft,
but also finance drug trafficking, human smuggling, and terrorist activity.
With Falcon X, we set out to help institutions detect and prevent criminal
activity before the real-time transfer occurs."
AI
in Healthcare to Reach Higher Than $40.2 Billion Globally by 2026
A report from Acumen Research and Consulting finds that the
global AI in Healthcare market will exceed $40.2 billion USD by 2026 with a
compound annual growth rate (CAGR) of 49.7 percent in the forecast period
2019-2026. An excerpt from the market description reads:
Artificial
intelligence has found a wide array of application[s] in healthcare. It has not
only sophisticated the various activities, but also increase the efficiency of
the work. The introduction has also reduce the time of the treatment and
reduce[d] the labor cost. Similar to everyday lives, artificial intelligence
and robotics are increasingly a part of the healthcare sector. They are used in
patient data & risk analysis, lifestyle management & monitoring,
precision medicine, inpatient care & hospital management, medical imaging
& diagnostics, drug discovery, virtual assistant, research, and others. One
of the major advantage[s] of AI is to help people stay healthy. Technology
applications and apps encourage healthier behavior in individuals and help with
the proactive management of a healthy lifestyle. Moreover, it increases the
ability of healthcare professionals to better understand the day-to-day
patterns and from this information the professional helps in understanding
better feedback, guidance and support for staying healthy.
The
major driving factors for the market are accuracy of the result, continuously
development in healthcare technology, and rising penetration of IT in
healthcare. Additionally, rapidly developing infrastructure, increasing
government support for research & development, and introduction of the
advanced technology have supported the growth of the market. However, high cost
and lack of funding is also the major hurdle for the market growth.
Sam Mowers,
Investorideas.com
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Inc. (OTC PINK:GTCH) is a paid featured client
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