Building the Tricorder: The race to create a real-life Star Trek medical scanner. Its vision of romantic encounters with aliens and plagues of tribbles may not have come to pass just yet, but Star Trek has proved surprisingly accurate in predicting the future in other ways. When it comes to technology, the show's gadgets have already become reality in several cases: its communicator predicted the clamshell mobile phone, the food replicator was made real with 3D food printing, and Captain Kirk was using voice input long before Alexa became a household name.
But of all Star Trek's technological imaginings, it's the Tricorder that continues to capture the popular and scientfic imagination: a handheld medical device that could be used to analyse a patient, helping doctors diagnose and treat the crew on the bridge and beyond. No blood tests, no X-rays, no genetic sequencing: Star Trek's doctors could just point their tricorders at the patient and seconds later work out if they'd succumbed to a cold or the Quazulu VIII virus. The $10m prize Physician, reboot thyself! Untitled. Untitled. 2018-3. Computers and robots are now learning to make decisions! Of course, “deciding” is a big word for machines that have no consciousness and whose level of “reasoning” is not even as evolved as that of a frog. But the latest developments in artificial intelligence (AI) are enough to frighten some and to arouse the fantasies of others.
Between myth and reality, where exactly does the current research stand in this technology that threatens to disrupt all others? In its Wide Angle section, the Courier attempts to untangle the various paths of inquiry and offers some terminological signposts to help uninitiated readers to find their way through the fascinating but scary world of AI. For many, the word “intelligence” is only a metaphor when it is applied to machines or robots which are destined ‒ we are assured ‒ to remain simple and humble assistants to humans. Alongside these ethical challenges, there is the risk of monopolization of power. EIU Microsoft Intelligent Economies AI's transformation of industries and society. AI, radiology and the future of work - Images aren’t everything. Boyd Crawford 2012 Critical Questions for Big Data. Silicon Valley Is Turning Into Its Own Worst Fear. One Third of Americans Prefer a Software Robot Over a Human Boss.
Futurists On Robots At Work: Whose Job Is It Anyway? In a future teeming with robots and artificial intelligence, humans seem to be on the verge of being crowded out. But in reality the opposite is true. To be successful, organizations need to become more human than ever. Organizations that focus only on automation will automate away their competitive edge. The most successful will focus instead on skills that set them apart and that can’t be duplicated by AI or machine learning. You can see it in the numbers.
AI is in its infancy, which means that it cannot yet come close to duplicating our most human skills. The only thing narrow artificial intelligence can do is automate. AI-powered tools will be the partners that free employees and management to tackle higher-level challenges. Those challenges will, by default, be more human and social in nature because many rote, repetitive tasks will be automated away. This means that today’s companies must think about hiring, training, and leading differently. But we need to start. Human Skills 101. How to Thrive in the Subscription Economy. How Marketing Changes When Shopping Is Automated. Much of marketing is premised on companies delivering messages to customers to influence their purchases and consumption.
Indeed, the largest advertisers in the world are companies such as Procter & Gamble, Nestlé, and Unilever, which sell branded low-involvement products that are routinely purchased and consumed at a regular pace. The purpose of much of the tens of billions of dollars they spend on advertising is to remind consumers to pick up their laundry detergent, soup, coffee, yogurt, or pet food on their next shopping trip. But within a few years, this model of marketing, advertising, and shopping will become obsolete.
The beginnings of this are already evident in Amazon’s Dash buttons, which are making routine purchases simpler and even more routine. Pretty soon Amazon and other retailers will know customers’ habits well enough to mail (or drone) them the 200 or so products they regularly consume, based on when the retailers’ algorithms believe they require replenishment. How Marketing Changes When Shopping Is Automated. Data is giving rise to a new economy - Fuel of the future. How Artificial Intelligence Will Redefine Management. Many alarms have sounded on the potential for artificial intelligence (AI) technologies to upend the workforce, especially for easy-to-automate jobs.
But managers at all levels will have to adapt to the world of smart machines. The fact is, artificial intelligence will soon be able to do the administrative tasks that consume much of managers’ time faster, better, and at a lower cost. How can managers — from the front lines to the C-suite — thrive in the age of AI? To find out, we surveyed 1,770 managers from 14 countries and interviewed 37 executives in charge of digital transformation at their organizations. Using this data, we identified five practices that successful managers will need to master.
Practice 1: Leave Administration to AI According to the survey, managers across all levels spend more than half of their time on administrative coordination and control tasks. Report writing is another relevant example. Practice 2: Focus on Judgment Work Practice 4: Work Like a Designer. $160 billion hedge fund wants Artificial intelligence software to make 75% of all management decisions by 2022. Robot automation will 'take 800 million jobs by 2030' - report. Image copyright Getty Images Up to 800 million global workers will lose their jobs by 2030 and be replaced by robotic automation, a new report from a consultancy has found. The study of 46 countries and 800 occupations by the McKinsey Global Institute found that up to one-fifth of the global work force will be affected. It said one-third of the workforce in richer nations like Germany and the US may need to retrain for other jobs. Machine operators and food workers will be hit hardest, the report says.
Poorer countries that have less money to invest in automation will not be affected as much, according to McKinsey. India, the authors write, will only have about 9% of jobs replaced by emerging technologies. The authors see tasks carried out by mortgage brokers, paralegals, accountants, and some back-office staff as especially vulnerable to automation. Jobs requiring human interaction such as doctors, lawyers, teachers and bartenders are seen by McKinsey as less prone to automation. Will the rise of robots make me unemployable? I automated my job to find out. I learned that robots could do my job just as I was about to graduate from college, in 2010. My university’s computer science department had created a new class for journalists during my senior year, and I had enrolled in a last-ditch effort to acquire marketable skills. At that point, my classmates and I were used to hearing bad news about our future careers.
Most of us had declared journalism majors in 2006, the same year that The Economist wrote, “while newspapers have not yet started to shut down in large numbers, it is only a matter of time.” We expected to be unemployed upon graduation. So it only seemed fitting when, a few weeks into the class, my professor explained he was working on a software program that could write news articles—sans humans. Technology had destroyed the media business model by bringing news online, and now, \it seemed to us at the time, technology would take the few jobs that remained, too.
“Journalists, beware!” “Digital workers” and white-collar robots. Deloitte Insight: Over 100,000 legal roles to be automated | Legal IT Insider. Over 100,000 jobs in the legal sector have a high chance of being automated in the next twenty years, according to extensive new analysis by Deloitte. The Deloitte Insight report, which predicts “profound reforms” across the legal profession within the next 10 years, finds that 39% of jobs (114,000) in the legal sector stand to be automated in the longer term as the profession feels the impact of more “radical changes.”
Spurred on by the quickening pace of technology, shifts in workforce demographics and the need to offer clients more value for money, this transformation will mean that by 2020, law firms will face a ‘tipping point’ and the need for a new talent strategy, with the report finding that “businesses must prepare effectively now so they are not left behind by the end of the decade.” In terms of the former, to date automation has meant the loss of some, lower-skilled jobs such as legal secretaries. Corporate Surveillance in Everyday Life. Google and Facebook, followed by other large platforms such as Apple, Microsoft, Amazon and Alibaba have unprecedented access to data about the lives of billions of people. Although they have different business models and therefore play different roles in the personal data industry, they have the power to widely dictate the basic parameters of the overall digital markets.
The large platforms mostly restrict how other firms can directly obtain their data; in this way, they force them to utilize the platform’s data on users within their own ecosystems and gather additional data from beyond the platforms’ reach. Although the large multinationals in different sectors that have frequent interactions with hundreds of millions of consumers are in a somewhat similar position, they not only acquire consumer data collected by others, but often also provide data.
Retailers and other companies that sell products and services to consumers mostly also sell data about their customers’ purchases. 23 anticipated #AI #apps by 2030 including #healthcare without #doctors. #bots #healthtech #robotics @stratandbiz @MikeQuindazzi #pwc… AI experts predict the future: Truck drivers out of jobs by 2027, surgeons by 2053.
Google has hung up its AlphaGo gloves after trouncing the world's best human Go players, but when will AI beat humans at other tasks, such as writing a best-selling novel or doing surgery? To answer that question, a team of researchers led by Katja Grace of Oxford University's Future of Humanity Institute surveyed several hundred machine-learning experts to get their educated guess. The researchers used the responses to calculate the median number of years it would take for AI to reach key milestones in human capabilities. Teachers may need to be on the alert for machine-written essays by 2026 and truck drivers could be made redundant by 2027, according to the results. Meanwhile, AI will surpass human capabilities in retail by 2031.
The experts also predict that AI will be capable of writing a best-seller by 2049, and doing a surgeon's work by 2053. Interestingly, the researchers predict that AI won't beat the best human Go players until about 2028. Ethics Should Precede Action in Machine Intelligence. An excerpt from The Mathematical Corporation: Where Machine Intelligence and Human Ingenuity Achieve the Impossible by Josh Sullivan and Angela Zutavern Reprinted with permission from PublicAffairs, an imprint of Perseus Books LLC, a subsidiary of Hachette Book Group Inc.
All rights reserved. The standard-bearer of an organization protecting personal data is the U.S. Census Bureau. Bureau chief scientist John Abowd, on leave from his professorship in economics, statistics, and information science at Cornell, cites the growing difficulty of protecting personal data in a world where people are getting better and better at re-identifying “anonymized” entries. One of the Census Bureau’s projects is the Longitudinal Employer-Household Dynamics, or LEHD, Program, which publishes trends in employment, hiring, job creation and destruction, and earnings, by geography, with data on age, sex, and industry. Your organization may not face the rigorous privacy requirements of the Census Bureau. The largest internet company in 2030? This prediction will probably surprise you. A "Nao" humanoid robot by Aldebaran Robotics dances to the Chinese song "Little Apple" at the World Robot Exhibition during the World Robot Conference in Beijing, China, November 24, 2015.
Jason Lee/Reuters Thirty years ago, it was a big deal when schools got their first computers. Today, it's a big deal when students get their own laptops. According to futurist Thomas Frey, in 14 years it'll be a big deal when students learn from robot teachers over the internet. It's not just because the technology will be that sophisticated, Frey says, but because the company responsible for it will be the largest of its kind.
"I've been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven't heard of yet," Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider. Frey's prediction comes amid a boom in artificial intelligence research. "Nobody has quite cracked the code for the future of education," Frey contends. How Disruptive Will Automation Be? 'Global Trends to 2035' Geo-politics and international power - Think Tank. Top 9 ethical issues in artificial intelligence. JW Player Learn more about this provider jwplayerLocalIdUsed to determine the optimal video quality based on the visitor's device and network settings.
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Expiry: 1 yearType: HTTP Sli.do app.lastEventUuidCaptures state of last user event on the app too ensure user flow states are maintained app.redux.localFeatureFlagsSets locale as per user preference on the browser app.redux.rememberedUserMaintains user state while using Sli.do app on the website app.redux.uiApp.isLightnessAutomaticBased on user device, loads light or complete app automatically app.redux.uiApp.lightnessBased on user device, loads light or complete app automatically Spotify Tableau YouTube resourcewatch.org. Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030. JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page.
Highlights We present results of an extensive Delphi survey on additive manufacturing. Additive manufacturing affects new business models, policy and society as a whole. Although the technology will influence many areas, its future is still uncertain. Abstract Additive manufacturing (colloquially: 3D printing) is a highly discussed topic. Keywords Additive manufacturing 3D printing Delphi Forecasting Scenario development Ruth Jiang is a Ph.D. student of technology management at RWTH Aachen University.
Robin Kleer is a guest professor at the Technical University of Berlin. Frank T. A study finds nearly half of jobs are vulnerable to automation. On Flipboard. The Guardian view on artificial intelligence: not a technological problem | Editorial. The House of Lords report on the implications of artificial intelligence is a thoughtful document which grasps one rather important point: this is not only something that computers do. Machine learning is the more precise term for the technology that allows computers to recognise patterns in enormous datasets and act on them. But even machine learning doesn’t happen only inside computer networks, because these machines are constantly tended and guided by humans.
You can’t say that Google’s intelligence resides either in its machines or in its people: it depends on both and emerges from their interplay. Complex software is never written to a state of perfection and then left to run for ever. It is constantly being tweaked, increasingly often as part of an arms race with other software or networks that are being used to outwit it. And at every step of the way, human bias and human perspectives are involved. It couldn’t be otherwise. . … we have a small favour to ask. Life 3.0 by Max Tegmark review – we are ignoring the AI apocalypse | Books. Risk and rewards.