The #AIEye: GBT Technologies (OTC PINK: $GOPHD, OTC: $GTCH) Implements #AI in Robot, Intel ( $INTC) Launches First AI Chip and H20.ai Raises $72.5 Million in Funding Round Led By Goldman ( $GS) and NVIDIA ($NVDA)
Global Emotion Analytics Market to Reach $5.1 Billion by 2025
Point Roberts WA, Vancouver BC – August 20, 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:GOPHD, OTC: GTCH) (NasdaqGS:INTC) (NYSE:GS) (NasdaqGS:NVDA)
GBT Technologies Inc. (OTC PINK:GOPHD) ( OTCPINK: GTCH) has achieved a milestone with the successful implementation of its Avant! AI technology into a robot to enable it to process information and reach conclusions on its own, thereby making it a self-learning system. Dr. Danny Rittman, GBT’s CTO, explained:
"We call this stage the self-learning stage. Here, we successfully gave a complex machine the ability to learn without being explicitly programmed. The robot can be trained to perform tasks. It will learn from its performance in order to improve on it over time, exactly as a human would do. In addition, the robot will continuously improve its knowledge through online data research and other data resources for ways to improve task performance using GBT's knowledge extraction technology.”
Intel Corporation (NasdaqGS:INTC) has launched its first AI chip designed for large computing centres. The chip is called Nervana NNP-T or Springhill and is “based on a 10 nanometer Ice Lake processor that will allow it to cope with high workloads using minimal amounts of energy”. Naveen Rao, general manager of Intel’s artificial intelligence products group, explained:
“In order to reach a future situation of ‘AI everywhere’, we have to deal with huge amounts of data generated and make sure organizations are equipped with what they need to make effective use of the data and process them where they are collected. These computers need acceleration for complex AI applications.”
Leading open source machine learning and AI platform H20.ai, has raised $72.5 million in a Series D funding round, bringing the total funding to $147 million. Leading the funding round were companies including Goldman Sachs (NYSE:GS) and NVIDIA Corporation (NasdaqGS:NVDA). Following this funding round, H20.ai plans to “accelerate innovation and expand sales and marketing globally” with new investment to “simplify AI for business users with new and ground-breaking technologies”. Jeff Herbst, Vice President of Business Development and Head of GPU Ventures at NVIDIA, commented:
"NVIDIA has been working with H2O.ai for several years and we're pleased to help accelerate their business with this further investment. H2O.ai is doing groundbreaking work in AI and machine learning, and their innovative GPU-accelerated Driverless AI platform is gaining significant traction in markets around the world."
Global Emotion Analytics Market to Reach $5.1 Billion by 2025
A report from Research and Markets finds that the global Emotion Analytics market is projected to grow to $5.1 billion USD by 2025 with a compound annual growth rate (CAGR) of 15.6 percent in the forecast period 2019-2025. An excerpt from the report description outlines the market:
Emotion analytics collects data about the verbal and nonverbal communication of a person, to understand the person's mood or attitude. The technology also provides insights into how customers perceive a product, the presentation of a product, and the customers’ interactions with customer service representatives.
The global emotion analytics market is growing rapidly. Emotion analytics is widely used for various end-users such as enterprises, defense and security agencies, commercial, industrial among other, [which] are propelling the emotion analytics market growth. Companies are investing in artificial intelligence and machine learning which are boosting the growth of the emotion analytics market. For instance, the multimodal emotion artificial intelligence is the combination of facial analytics and speech analytics that offer an insight into the human expression of emotion.
Sam Mowers, Investorideas.com
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