Do you think AI will decrease human labor? So if foreseeable technologies materialize, then then the need for human labor could decrease. Technology always puts existing jobs under strain. This doesn't immediately mean that human labor as a whole is under threat. Generally, other professions grow to fill the loss, often creating more jobs than the ones that are lost.

Masaya Nakamura, who pioneered game arcades and founded the video game company behind the smash-hit Pac-Man, has died at 91. Nakamura founded gaming company Namco -- part of what today is known as Bandai Namco -- in 1955. His Jan. 22 death was confirmed a week later on Bandai Namco's website on Monday. After starting with two mechanical horse rides on a rooftop, Namco went on to pioneer amusement parks and game arcades, the Associated Press reports. The company released the coin-operated game Pac-Man, designed by Namco engineer Toru Iwatani, in 1980. The game expanded into consoles before being merchandised into a television series, a film and various theme parks.

The founder of video game company Bandai Namco, which released cult game Pac-Man, has died at the age of 91, the firm has announced. Masaya Nakamura established Nakamura Manufacturing, which went on to become the Nakamura Amusement Machine Manufacturing Company (Namco) in 1956. He started out installing two electric horses on the roof of a department store in Japan as amusement rides. He was known as the "father" of Pac-Man because it was a Namco release in 1980. The game was developed by Toru Iwatani and in 2016 was named the highest-grossing arcade game of all time by the website US Gamer.

Masaya Nakamura, the founder of game developer and distributor Namco Ltd. and known as "the father of Pac-Man," died Jan. 22, Bandai Namco Holdings Inc. announced Monday via a corporate website. The cause of death was not announced. After graduating in 1948 from Yokohama Kogyo Senmon Gakko (now Yokohama National University), he founded Nakamura Seisakusho in 1955, which was renamed Namco in 1977. The company developed numerous hit video games, including "Galaxian," "Pac-Man" and "Ridge Racer," that could be played on home consoles or in entertainment facilities such as game centers. Namco merged with Bandai Co. in 2005 to form Bandai Namco Group, and its game production assets were branched into Bandai Namco Games Inc. in 2006, which is now known as Bandai Namco Entertainment Inc. Nakamura was a chairman and a supreme adviser of Bandai Namco Entertainment since 2006.

Owing to the data deluge and the Cambrian explosion of machine learning techniques over the past decade, one might have expected the transformation of marketing strategy into a predominantly quantitative discipline by now. The fact that it hasn't happened yet, and the observation that marketing is still influenced by a lot of qualitative inputs can be ascribed to two reasons, in my opinion. The first and principal reason continues to be institutional inertia. Second, there is a significant communication and knowledge gap between data scientists and marketers, owing to their relative lack of familiarity with the other side's perspectives and paradigms. The successful marketer of the next decade is someone who is conversant with management theories of Kotler[1] as well as machine learning advances by Hinton[2]/LeCun[3]/ Ng[4].

Do you think you can tell a piece of music composed by artificial intelligence (AI) from one created by a human composer? Before you read any further, let's find out. The following audio consists of two fragments, one written by AI, the other by a human. If you didn't get it right the first time, no worries--we'll have a couple more mini-quizzes like this below. The AI that wrote the fragment above has been programmed by Jukedeck, a UK-based startup working on machine-made music that won the competition at TechCrunch Disrupt London in 2015.

Artificial intelligence will come to the forefront this year in marketing departments across the world. But do marketers really understand what AI is in marketing and how to best implement it in their marketing strategies? A Demandbase and Wakefield Research AI survey asked just these kinds of questions of marketers and found some very interesting results. To understand the results of this survey at a deeper level, I spoke with Aman Naimat, SVP of Technology at Demandbase. Naimat has a very extensive background in data science.

We've traditionally seen machine learning interview questions pop up in several categories. The first really has to do with the algorithms and theory behind machine learning. You'll have to show an understanding of how algorithms compare with one another and how to measure their efficacy and accuracy in the right way. The second category has to do with your programming skills and your ability to execute on top of those algorithms and the theory. The third has to do with your general interest in machine learning: you'll be asked about what's going on in the industry and how you keep up with the latest machine learning trends. Finally, there are company or industry-specific questions that test your ability to take your general machine learning knowledge and turn it into actionable points to drive the bottom line forward. We've divided this guide to machine learning interview questions into the categories we mentioned above so that you can more easily get to the information you need when it comes to machine learning interview questions. These algorithms questions will test your grasp of the theory behind machine learning.

Who determines what's a touchdown, penalty or out-of-bounds play in the National Football League? Until 1986, on-field referees decided everything. Then camera-based instant replays entered the mix. And what do you think automation's arrival did to the number of refs employed in the NFL, or their salary levels? Slap yourself with a 15-yard penalty if you think technology's growing role cost any of the NFL's officiating crews their jobs. Pro football now employs bigger officiating crews than before.