China has now overtaken Japan for having more robots than anywhere else in the world. The Chinese government is concerned about an ageing population and the rising cost of human labour making Chinese products less competitive. It is giving over $100 Billion in subsidies for companies to replace more human workers with robots. It's hoped that the workers that will no longer work in the factories will move to the growing service sector, in part to help look after the ageing population. Countries In the west have already lost large numbers of manufacturing jobs to china but we shouldn't get too smug about our white-collar jobs in high tech, administration, clerical and production being safe from A.I. systems in the future.

The Financial Times' Special Report (2/16/2017) published a four-page spread on the'use and possible dangers of artificial intelligence (AI)'. Unlike the usual trash journalists who serve as Washington's megaphones on the editorial pages and political columns, the Special Report is a thoughtful essay that raises many important issues, even as it is fundamentally flawed. The writer, Richard Walters, cites several major problems accompanying AI from'public anxieties, to inequalities and job insecurity'. Walters pleads with those he calls the'controllers of autonomous systems' to heed social and'political frictions' or face societal'disruption'. Experts and journalists, discussing the long-term, large-scale destruction of the working class and service jobs, claim that AI can be ameliorated through management and social engineering.

Toddler's early grammar skills are not inherent but learned, research has found. Children's ability to understand basic grammar early in language development has puzzled researchers for a long time, who were unsure if the skill is innate or learned over time. But research involving child speech patterns has revealed that grammatical knowledge is learned gradually with a significant increase at the age of 24 months. Previous research on children's speech has shown that the use articles such as'a' and'the' early and mostly in a correct way, but the researchers said its difficult to sort out whether children are just imitating adults or if they actually understand that articles should be used before nouns such as'dog' or'shoe' Baby talk is not just a way of engaging with infant on a social level – it has important implications for language learning from the very first moments of a newborn's life. Features of baby talk present infants with information about their ambient language, and allow them to break up the speech stream into smaller chunks.

Normally it would be considered rude to call a class "bullshit," but here's one time you can get away with it. Two University of Washington professors are teaching a course to help students "think critically about the data and models that constitute evidence in the social and natural sciences," according to the introduction to the course. The 160-seat seminar, titled "Calling Bullshit in the Age of Big Data," begins in late March and continues for roughly 10 weeks. Members of the general public can follow the course syllabus, including readings and recordings of lectures, at the course's website. At the end of the course, students should be able to "provide your crystals-and-homeopathy aunt or casually racist uncle with an accessible and persuasive explanation of why a claim is bullshit," according to the syllabus.

We have just taken another momentous step in the journey to unveil the hidden wonders of our own planet! Since the launch of the Shell Ocean Discovery XPRIZE at the American Geophysical Union Fall Meeting in San Francisco in December 2015, individuals from around the world have been racing to form Teams and develop a range of groundbreaking technologies to access the deep-sea. Registration closed at the end of September 2016 with 32 bold Teams stepping forward to take on the challenge of mapping and imaging our ocean as never before. Today, we announce the 21 semi-finalists Teams advancing in the Ocean Discovery XPRIZE. These innovative semi-finalist Teams, consisting of almost 350 individuals from 25 countries, represent a broad, impressive diversity of backgrounds and expertise, including middle and high school students, university students, maker-movement enthusiasts, and water and ocean industry professionals.

Alison Gopnik is an internationally recognized expert in children's learning and development. Her new book The Gardener and the Carpenter is a response to the fact that "parenting" has become a verb, a powerful middle class trend, a lucrative self-help industry, and sometimes a kind of bloodsport. Meanwhile developmental science paints a very different picture of how children grow and learn, and what it means to be a good parent. As Gopnik puts it, "It's easy to say'just chill,' but the advice is, basically, just chill!" On this week's episode of Think Again–a Big Think Podcast, Alison Gopnik and host Jason Gots discuss play, artificial intelligence, and the trouble with "parenting" as a verb.

Lawyers spend years in school learning how to sift through millions of cases looking for the exact language that will help their clients win. What if a computer could do it for them? It's not the kind of question many lawyers would dignify with an answer. But Jimoh Ovbiagele isn't a lawyer, and as a budding computer scientist studying at the University of Toronto a couple of years ago the idea made perfect sense. He and his colleagues combined it with IBM's Watson artificial intelligence platform to co-found ROSS Intelligence, a multimillion-dollar legal research firm that has lined up global law giant Dentons as a backer and customer, along with other prominent customers including Baker & Hostetler and Latham & Watkins.

Can artificial intelligence replace teachers in near future? Artificial intelligence applications are changing our lives. While a lot of examples show how AI is already being used, there is still a lot of room for innovation and new applications. Will artificial intelligence and machine learning replace teachers in near future? Automation has affected nearly every industry.

Could machines, in time, write software themselves, and take programmers' jobs? At the very least, they might well provide the same boon automation has for many other fields: Remove some of the drudgery, and leave developers to do more creative work. A recently released research paper co-authored by Microsoft Research and the University of Cambridge discusses how a machine learning system called DeepCoder could learn to write small programs by using routines from other programs as raw material. It uses small snippets of code, only a few lines each, written in a custom, DSL (domain-specific language) to make it easier to analyze the input and output of each snippet. The better a match each snippet is to solving a particular problem, the more likely it'll end up as part of the solution.

Some enterprises use Clarabridge to mine customer data, manage customer experience, and see sentiment analysis. While Clarabridge provides an intelligence platform, Signals is a more powerful solution platform in unifying customer voice. While sentiment analysis is a key function of Signals, its deep machine learning capability allows you to do something more organic. It enables you to listen to your customer data from the ground up and identify trends and patterns as they emerge. Signals results are displayed directly in front of the user.