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The AI Eye: 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


Point Roberts, WA and Vancouver, BC - September 23, 2019 ( Newswire) (, 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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The AI Eye: 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

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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,

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