Questionnaire & Opinion Survey

AI may take your job - in 120 years - BBC News


In 45 years' time, though, half of jobs currently filled by humans will have been taken over by an artificial intelligence system, results indicate. On the big question of whether AI would be good or bad for the human race, most felt the probability for a bad outcome was low (10%), compared with a median probability of 25% for a good outcome. Noel Sharkey, a robotics and AI expert at Sheffield University, said: "Survey results about the future can be useful within a five to 10 year range. He said it was inevitable that machines would outperform humans on many tasks but questioned whether this would make the technology comparable to humans.

31 Must Know Stats About Mobile Voice Usage Trends


We included in the survey a block of 10 questions focused on understanding how perceived social pressure impacts people's willingness to use voice commands with their smartphones. It is also interesting to see the impact of the respondent's age on their propensity to use voice commands: In most venues, there doesn't appear to be much difference, but when you get to more public areas, such as at a restaurant with friends, at the gym, in a public restroom, or in a theater, there is a definite tendency for those under 24 to use voice commands quite a bit more than the other age groups (51.6% vs. 38.6% The willingness of those with an income over $100K to use voice commands with their devices in public places, as compared to other income categories is startling! Single males also skew high for using voice commands to play music at 54% vs. 38.6% Those with high income are more likely to get annoyed by people using voice commands with their phone in public (50.8% vs. 41.8% for all responses), but in stark contrast they're also far more likely to do it (42.5% vs. 26.9% Note that 65.9% of women use spoken commands to text, where 54.6% of men do so. Most people agree or strongly agree that voice commands make their smartphone easier to use, with men coming in at 63.8% and women at 56%.

Number of foreign students at public schools who lack Japanese language skills hits record high

The Japan Times

By prefecture, Aichi tops the list with 7,277 non-Japanese children with poor Japanese skills, followed by Kanagawa at 3,947, Tokyo at 2,932, Shizuoka at 2,673 and Osaka at 2,275. The survey also found 9,612 children who hold Japanese citizenship but have poor Japanese skills, needing remedial language instruction. Such children often have no choice but to learn basic Japanese at language schools or in classes provided by nonprofit groups like the center before entering a public school, Hazeki said. "There are a lot of language schools in Japan for international students, but Japan does not have a well-established system to train people who can teach Japanese to those elementary and junior high school children," Hazeki said.

Artificial Intelligence is the next big threat to job creation Latest News & Updates at Daily News & Analysis


Played on a large square board, with 19*19 squares (chess is 8*8), Go is a two-player game of strategy. While human players of Go heave a collective sigh of relief at the retiring of the top-ranked player in the world, AlphaGo, the rest of humanity, especially governments and policy makers, need to wake up to the level of sophistication in Artificial Intelligence, and plan for its impact on employment. A recent academic paper by scholars at Yale University and Oxford University asked a simple question, "When will AI exceed Human Performance?" According to the survey results, experts predicted that from 2016, it would take 15 years for AI to exceed human performance in retail sales; 12 years to be the best truck drivers; A dozen or so years to generate a chart topping pop song; about 7 years to exceed human performance as a tele-banking operator; about 12 years to fold laundry, and six years to beat us at Angry Birds.

How soon will artificial intelligence beat humans at our own game?


Fears that machines programmed with artificial intelligence (AI) capabilities will first take human jobs and then take over the world may not be completely unfounded. A survey conducted by the University of Oxford and Yale University polled 352 AI experts and looked at what the leading minds in machine learning think the timing will be for a variety of AI capabilities, as well as superiority over humans in occupations, superiority in all tasks and potential social impact. The study found that in the next 10 years, AI will outperform humans in activities such as language translation (by 2024) and truck driving (by 2027). Researchers predict there's a 50 percent chance that AI will be better than humans at all tasks in 45 years, and that all human jobs will be automated in 120 years.

How to Prepare for an Automated Future


Pew Research Center and Elon University surveyed 1,408 people who work in technology and education to find out if they think new schooling will emerge in the next decade to successfully train workers for the future. About two-thirds of the respondents thought it could be done in the next decade; the rest thought that education reform takes too much time, money and political will, and that automation is moving too quickly. "I have complete faith in the ability to identify job gaps and develop educational tools to address those gaps," wrote Danah Boyd, a principal researcher at Microsoft Research and founder of Data and Society, a research institute. Jonathan Grudin, a principal researcher at Microsoft, said he was optimistic about the future of work as long as people learned technological skills: "People will create the jobs of the future, not simply train for them, and technology is already central."

Apple's Siri Is More Popular Than Amazon Alexa For Virtual Assistant Users, Report Says

International Business Times

For Apple, its Siri voice assistant remains popular, but for the first time in a while, it's feeling the heat from the competition. The survey's other findings follow a rough split of general smartphone marketshare: 19 percent of respondents used Google Assistant, 6 percent named Amazon's Alexa as their primary assistant and a middling 4 percent named Microsoft's Cortana as their main assistant. Microsoft teased a partner home speaker for Cortana earlier this year and Google has worked to bring Google Assistant to more devices alongside its Google Home personal assistant. Even Samsung has touted its own Bixby personal home assistant heavily although it remains a work in progress on its flagship Galaxy S8.

Siri gets another shot at getting it right


Apple at the time said getting developers involved would greatly improve Siri, but in USA TODAY tests done in the fall when the new Siri was launched, the assistant didn't seem that different. The company really needs to finally get Siri up to par and "solve voice, or they become irrelevant," says Peter Pham, president of Science, Inc., a Los Angeles based tech incubator. In USA TODAY's own A/B/C tests between Google, Amazon and Siri, Google far out-paced both Apple and Amazon, and is currently the best showcase of what's possible with voice computing. Forrester expects Amazon to sell 20 million Echos by the end of this year.

Global Bigdata Conference


There are a number of ways to apply machine learning to nearly any business, and doing so can create a competitive advantage. Machine learning and smart algorithms can power through large amounts of data much faster than humans can on anything ranging from research and development reports to customer satisfaction surveys, meaning companies using machine learning get those data insights much faster and can apply them to their strategy before the competition. In today's connected world, there are a number of ways customers can communicate with companies. Machine learning can sort through the data to provide an accurate and ever-changing picture of a company's customers, all while measuring public opinion and how the brand is viewed on channels like social media.

In-Depth Interview: Five Steps to Data Harmonization with Abolutdata CEO Anil Kaul - DATAVERSITY


How do smart data tools like Machine Learning and Artificial Intelligence play into the process of Data Harmonization? Anil Kaul: Machine Learning is a method of data analysis that automates analytical model building. Anil Kaul: Data Harmonization enhances the quality and utility of business data by making it relevant to the needs. Mr. Kaul's five steps lay a strong foundation for any business interested in pursuing the benefits of Data Harmonization, benefits that include faster and better Business Intelligence insights.