The Washington Post, Associated Press, and Reuters are just a few of the industry leaders who turned to AI in 2018. Publishers who adopted AI and machine-learning tools have seen results. Last year, Digiday reported The Washington Post's robot reporter published 850 stories in a year. Next year, the global media industry will begin to use these new tools at a faster rate. Here are a few current stories on AI that will have real implications for journalism in 2019.

Amazon announced today that it's making the machine learning courses it uses to train its engineers available to everybody for free. The coursework is tailored to four major groups -- developers, data scientists, data platform engineers and business professionals -- and it offers both foundational level lessons as well as more advanced instruction. "Each course starts with the fundamentals, and builds on those through real-world examples and labs, allowing developers to explore machine learning through some fun problems we have had to solve at Amazon," Amazon said in the announcement. "Coursework helps consolidate best practices, and demonstrates how to get started on a range of AWS machine learning services, including Amazon SageMaker, AWS DeepLens, Amazon Rekognition, Amazon Lex, Amazon Polly and Amazon Comprehend." More than 30 courses totalling over 45 hours are available as are videos, labs and other relevant documentation initially developed for training Amazon employees.

Elon Musk believes humans must link up with machines in order to fight the inevitable onslaught of artificial intelligence. The SpaceX and Tesla CEO said his latest company Neuralink will have the technology ready to do this'probably' within the next decade, according to Axios. Neuralink has previously teased a product that would effectively connect human brains to computers using a tiny implanted chip. In a new interview, SpaceX and Tesla CEO Elon Musk said his latest company Neuralink will have the technology ready to merge human brains with machines'within the next decade' While many tech leaders push that AI will become invaluable to humanity, others argue it poses a threat to our species. In November, Tesla and SpaceX CEO Elon Musk said that efforts to make AI safe only have'a five to 10 per cent chance of success.'

While healthcare enterprises are still in the nascent stages of AI adoption, the scale of opportunity in AI demands C-level vision,

Game enthusiasts and industry personnel visit the Sony Playstation exhibit. Sony's decision to pull out of 2019 Electronic Entertainment Expo has kicked off discussions not only about what it all means for the video game industry's annual shindig, but also for the PlayStation maker's console plans. The company's announcement Thursday that it will skip next year's confab, held June 11-13, 2019 in Los Angeles, will make it the first time Sony has not participated in E3 in the show's 24 years. Traditionally, Sony has held an onsite press conference prior to the show's opening and operated a massive booth within the L. A. Convention Center. "We have decided not to participate in E3 in 2019," the company said in its statement.

Microsoft has been all in on AI this year, and in the build versus buy equation, the company has been leaning heavily toward buying. This morning, the company announced its intent to acquire Xoxco, an Austin-based software developer with a focus on bot design, making it the fourth AI-related company Microsoft has purchased this year. "Today, we are announcing we have signed an agreement to acquire Xoxco, a software product design and development studio known for its conversational AI and bot development capabilities," Lili Cheng, corporate VP for conversational AI at Microsoft wrote in a blog post announcing the acquisition. Xoxco, which was founded in 2009 -- long before most of us were thinking about conversational bots -- has raised $1.5 million. It began working on bots in 2013, and is credited with developing the first bot for Slack to help schedule meetings.

WIRE)--SnapLogic, provider of the #1 intelligent integration platform, today announced SnapLogic Data Science, a new self-service solution to accelerate the development and deployment of machine learning with minimal coding. Through SnapLogic's drag-and-drop interface, data engineers, data scientists, and IT/DevOps teams can use SnapLogic Data Science to manage and control the entire machine learning lifecycle – including data acquisition, data exploration and preparation, model training and validation, and model deployment – all from within the SnapLogic integration platform. SnapLogic Data Science breaks down traditional barriers that can undermine machine learning initiatives by providing a common platform for machine learning visibility and collaboration across teams including data engineering, data science, IT, DevOps, and development. According to our recent research with Vanson Bourne, 68% of IT decision-makers consider artificial intelligence and machine learning as vital to accelerating their transformation projects. At the same time, McKinsey Global Institute predicts that the U.S. alone will be short 250,000 data scientists by 2024.

WIRE)--Nov 14, 2018--SnapLogic, provider of the #1 intelligent integration platform, today announced SnapLogic Data Science, a new self-service solution to accelerate the development and deployment of machine learning with minimal coding. Through SnapLogic's drag-and-drop interface, data engineers, data scientists, and IT/DevOps teams can use SnapLogic Data Science to manage and control the entire machine learning lifecycle – including data acquisition, data exploration and preparation, model training and validation, and model deployment – all from within the SnapLogic integration platform. SnapLogic Data Science breaks down traditional barriers that can undermine machine learning initiatives by providing a common platform for machine learning visibility and collaboration across teams including data engineering, data science, IT, DevOps, and development. According to our recent research with Vanson Bourne, 68% of IT decision-makers consider artificial intelligence and machine learning as vital to accelerating their transformation projects. At the same time, McKinsey Global Institute predicts that the U.S. alone will be short 250,000 data scientists by 2024.

It is a known fact that Artificial Intelligence (AI) has opened diverse opportunities in the world of technology, but it is no secret that the economic impact of AI has also been momentous for its adopters. Come 2030, AI based initiatives will pump 12.8 trillion Euros into the global economy!* Caught up in the global frenzy to prove dominance in the realm of AI, the European Union which was till very recently nascent in its AI advancements, has now set up extensive AI strategies to further boost its economy. With a united stance, the European Union took the big leap in the direction of AI when in 2014 they announced the launch of Horizon 2020. The biggest EU Research and Innovation program till date, Horizon 2020 was initiated in order to develop a conducive environment for producing world-class innovations within the continent.

Browse 64 Market Data Tables and 37 Figures spread through 133 Pages and in-depth TOC on "Humanoid Robot Market - Global Forecast to 2023" The humanoid robot market for software is expected to grow at a higher CAGR during the forecast period. As the technological advancement will lead to the growing complexity in terms of features such as AI and autonomous operations, the value of the software part in the robot will grow faster than hardware as software will assist the complex functionalities to process efficiently and accurately. The biped motion type captured a larger share of the overall humanoid robot market in 2016. The actual human-like appearance can be realized in humanoids only when the robot is capable of walking on feet like humans; owing to this, a majority of the humanoid robot manufacturers are focusing on their designs to make biped robots. The Americas accounted for the largest share of the overall humanoid robot market in 2016.