In 2015, a poll of 200 senior corporate executives conducted by the National Robotics Education Foundation identified robotics as a major source of jobs for the United States. Indeed, some 81% of respondents agreed that robotics was the top area of job growth for the nation. Not that this should come as a surprise: as the demand for smart factories and automation increases, so does the need for robots. According to Nearshore Americas, smart factories are expected to add $500 billion to the global economy in 2017. In a survey conducted by technology consulting firm Capgemini, more than half of the respondents claimed to have invested $100 million or more into smart factory initiatives over the last five years.
Ray Kurzweil has invented a few things in his time. In his teens, he built a computer that composed classical music, which won him an audience with President Lyndon B. Johnson. In his 20s, he pioneered software that could digitize printed text, and in his 30s he cofounded a synthesizer company with Stevie Wonder. More recently, he's known for popularizing the idea of the singularity--a moment sometime in the future when superintelligent machines transform humanity--and making optimistic predictions about immortality. For now, though, Kurzweil, 69, leads a team of about 35 people at Google whose code helps you write emails.
The eyes really do have it when people look for love, new research reveals. A study found that men and women rate a person's eyes more important than other facial features when seeking for a potential partner. Having attractive hair and lips is also an important factor in the beauty stakes. The least important facial feature seems to be someone's nose, researchers found. On average, people found eyes the most attractive, then hair, then the whole configuration then lips and finally nose.
Lots of people will tell you they're nervous about the changes artificial intelligence will bring to the world, but Andrew Ng is confident it's all for the best. And to bring about that future, Ng, now an adjunct professor at Stanford, will share what he knows best by teaching. Today, Ng is launching a new course on deep learning on Coursera, the online education site he co-founded. The syllabus will follow his popular machine learning course, which has attracted some 2 million enrollments since its launch in 2011. "There's a lot of PR and buzz focused on AI transforming large tech companies, but there's a lot of work that still needs to be done for AI to transform the non-tech companies," Ng tells The Verge.
AB Consultants is a company that outsources its employees as Consultants to top various IT firms. Their business had been increasing quite well over past, however in recent times there has been a slowdown in terms of growth because their best and most experienced employees have started leaving the Company. Inorder to prevent this proactively you first need to dive in to the Company's Employee Data and find out an answer as to know why the best and most experienced employees are leaving. As a Data Analyst of the Company you are required do an analysis and find out patterns as to why the best employees are leaving so early. Using Python, you derive at a forecast model to predict which employees could be leaving the company, as well as a probability as to why our best and most experienced employees are leaving prematurely.
DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in Healthcare Market by Offering - Global Opportunity Analysis and Industry Forecast, 2017-2023" report has been added to Research and Markets' offering. The market growth is driven by rise in adoption rate of AI systems and delete technological advancements in the AI field. In addition, the ability of these systems to improve patient outcomes, increase in adoption of precision medicine, and increase in need for coordination between healthcare workforce & patients are expected to fuel the market growth. Increase in usage & application of AI systems is expected to improve patient outcomes and maintain electronic health records (EHR) & patient records to boost the market growth.
If the next era of human progress is built using AI, who gets to engineer it? Who will have the coding skills to use the software for creating AI products, or even more importantly, the skills to write that software? In an attempt to make the answer to those questions "anyone who wants to," Andrew Ng is releasing a new set of courses teaching deep learning on Coursera, the online learning platform he co-founded in 2012. Coursera was originally set up to offer an online class in machine learning; deep learning is a variety of that, involving exceptionally large datasets. The original machine learning course attracted more than 2 million students, Ng tells MIT Tech Review.
Making AI models at the University of Southern California (USC) Center for AI in Society does not involve a clean, sorted dataset. Sometimes it means interviewing homeless youth in Los Angeles to map human social networks. Sometimes it involves going to Uganda for better conservation of endangered species. "With AI, we are able to reach 70 percent of the youth population in the pilot, compared to about 25 percent in the standard techniques. So AI algorithms are able to reach far more youth in terms of spreading HIV information compared to traditional methods," said Milind Tambe, a professor at the USC Viterbi School of Engineering and cofounder of the Center for AI in Society.
Companies approach recruiting in different ways. Facebook's method, for example, involves acquisitions for human capital and a six-week onboarding boot camp. Of course, that's not the norm: On average, a recent study found it takes 42 days--and a cost-per-hire of $4,129--to fill an open position. That adds up, especially since Bloomberg recently reported that approximately 10,000 members of the baby boomer generation reach retirement age every day. With numbers like that, it's no wonder efficiency-boosting advancements in machine learning are beginning to challenge the HR status quo.
Google scientists have developed the first computer program capable of learning a wide variety of tasks independently, in what has been hailed as a significant step towards true artificial intelligence. The same program, or "agent" as its creators call it, learnt to play 49 different retro computer games, and came up with its own strategies for winning. In the future, the same approach could be used to power self-driving cars, personal assistants in smartphones or conduct scientific research in fields from climate change to cosmology. The research was carried out by DeepMind, the British company bought by Google last year for £400m, whose stated aim is to build "smart machines". Demis Hassabis, the company's founder said: "This is the first significant rung of the ladder towards proving a general learning system can work.