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Monday, June 24, 2019

The #AIEye: Facebook (Nasdaq: $FB) Announces PyRobot Framework and Google (Nasdaq: $GOOG) Brain’s NLP Model XLNet Outperforms BERT Platform

The #AIEye: Facebook (Nasdaq: $FB) Announces PyRobot Framework and Google (Nasdaq: $GOOG) Brain’s NLP Model XLNet Outperforms BERT Platform

#AI and #Robotics in Aerospace and Defense Market Expected to See +20% CAGR from 2019 to 2024

Point Roberts WA, Vancouver BC – June 24, 2019  – (, 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: (NasdaqGS:FB) (NasdaqGS:GOOG)

Facebook (NasdaqGS:FB) has announced the PyRobot framework, a “high-level interface on top of the robot operating system (ROS)” that “enables AI researchers and students to get up and running with a robot in just a few hours”. The announcement explains the role of robotics platforms in the development of AI technology:

Robotics is important for advancing AI overall, because it enables researchers to explore challenges like teaching machines to learn predictive models and develop “commonsense” knowledge in the real world. Solving these problems will lead to more capable AI that could one day be useful for applications like intelligent assistants. With its flexible, open design, PyRobot will help Facebook AI researchers and others in the field accelerate progress toward these goals.

An article on VentureBeat reports that Google (NasdaqGS:GOOG) has introduced natural language processing (NLP) model XLNet, which beat the company’s BERT (Bidirectional Encoder Representations from Transform) platform in 20 NLP tasks. Writer Khari Johnson explained:

The model’s name is derived from Transformer-XL, an autoregressive model released in January by the same team of researchers. XLNet adopts Transformer-XL’s pretraining methods for segment recurrence mechanism and relative encoding schemes.

AI and Robotics in Aerospace and Defense Market Expected to See +20% CAGR from 2019 to 2024

A report from Industry Research finds that the AI and robotics in aerospace and defense market is projected to see a compound annual growth rate (CAGR) of over 20 percent from 2019 to 2024. An excerpt from the report description highlights the growth of AI in military:

The military segment of the market studied is expected to register the highest CAGR during the forecast period. Advances in AI, deep-learning, and robotics are aiding new military capabilities to the armed forces, with its applications ranging from intelligence, surveillance, and reconnaissance to offense/defense balances and nuclear weapons systems. Countries are also investing in these technologies to improve the operating efficiency of the detection systems, the accuracy of the weapons systems, and enhance battlefield communications. The United States Department of Defense (DoD) started Project Maven initiative that aims to bring AI and computer algorithms to war zones. Such investments are fuelling the growth of this segment during the forecast period.

Sam Mowers,

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