Government
Robots Are Going To Kill Jobs Because They Already Have
Mnuchin's statements contrast with warnings issued by the last administration, which produced reports looking at the economic impact of automation. It said, for instance, that 1.3 million to 1.7 million truck drivers could lose their jobs as a result of self-driving technology. "We are going to have to have a societal conversation about how we manage [robots and automation]," Obama told Wired. You can put the divide between Obama and Mnuchin down to politics (surprise!). The Trump team has blamed trade policies, overregulation, and immigrants for job losses in the heartland, not automation. But the contrast is also reflected in the views of economists.
Cross-media Similarity Metric Learning with Unified Deep Networks
Qi, Jinwei, Huang, Xin, Peng, Yuxin
As a highlighting research topic in the multimedia area, cross-media retrieval aims to capture the complex correlations among multiple media types. Learning better shared representation and distance metric for multimedia data is important to boost the cross-media retrieval. Motivated by the strong ability of deep neural network in feature representation and comparison functions learning, we propose the Unified Network for Cross-media Similarity Metric (UNCSM) to associate cross-media shared representation learning with distance metric in a unified framework. First, we design a two-pathway deep network pretrained with contrastive loss, and employ double triplet similarity loss for fine-tuning to learn the shared representation for each media type by modeling the relative semantic similarity. Second, the metric network is designed for effectively calculating the cross-media similarity of the shared representation, by modeling the pairwise similar and dissimilar constraints. Compared to the existing methods which mostly ignore the dissimilar constraints and only use sample distance metric as Euclidean distance separately, our UNCSM approach unifies the representation learning and distance metric to preserve the relative similarity as well as embrace more complex similarity functions for further improving the cross-media retrieval accuracy. The experimental results show that our UNCSM approach outperforms 8 state-of-the-art methods on 4 widely-used cross-media datasets.
AI and robots will take our jobs - but better ones will emerge for us
An increasingly popular concern is that robots will eat up labour's share of income at an accelerating rate, leaving ordinary workers impoverished and unemployed. A common dinner conversation topic in Silicon Valley is universal basic income, and the typical argument advanced for UBI is that we are destined to indefinitely continue losing jobs faster than we replace them. Variants on this theme have circulated since the dawn of the Industrial Revolution. Improvements in farming technology have been greeted with skepticism since ancient times for these reasons. Mechanical contraptions for sewing and other tasks were decried as potentially ruinous to workers in Elizabethan England.
'Face-sensing' headsets show your real-life expressions in VR
Existing VR systems and experiences are immersive, engaging and sometimes even interactive. But they don't offer a quick, easy way for you to express your emotions. Medical device maker MindMaze has come up with a novel, compelling way to convey your facial expressions in VR called Mask. It's a foam insert that's compatible with existing headsets and uses diodes to read your biosignals and muscles. The potential applications here are plenty: You could deduce, from your opponents' faces, when they're preparing to shoot or see a new acquaintance laugh at your joke in social VR scenarios.
Look out Silicone Valley, Europe is coming
Europe is often viewed as a digital laggard, running far behind the frontier-pushing United States and Asia. In fact, according to a new report by the London venture capital firm Atomico, European startups are now taking the lead in artificial intelligence, building new tech hubs, and drawing investment from traditional industrial stalwarts. Last year, a record-setting $13.6 billion was invested in Europe's tech sector, compared with $2.8 billion in 2011. Gone are the days when Europe's "tech" sector largely comprised consumer-oriented e-commerce businesses โ often blatant knockoffs of successful US companies. Today, Europe is the home of real pioneering innovation, led by what Atomico calls "deep tech" โ the kind of artificial intelligence developed by Google's DeepMind.
Filing Taxes With A Selfie? Alabama Testing Facial Recognition Technology To Do Just That
Filing taxes is a hassle we all go through every year. If you live in Alabama though, the process might be much easier for you than the rest of the nation. The Alabama Department of Revenue is partnering with identity solution company MorphoTrust to let citizens file taxes digitally. There are added benefits too -- if you file your taxes using the eID app, you will get priority processing and faster returns. You will fist need to scan your driver's license using the app and then use your phone to scan your face.
Public radio show Marketplace navigates an uncertain market
Weekday afternoons, millions of Americans -- many stuck in rush-hour traffic -- learn the business news of the day from Kai Ryssdal, a former Navy pilot and host of the public radio show Marketplace. "I spend almost as much time with Kai Ryssdal as I do with my own husband," joked Sally Kilbridge of Scottsdale, Ariz., who toughs out her more than two-hour-a-day commute by listening to public radio. Marketplace, which is produced in downtown Los Angeles by American Public Media, is the most popular business program broadcast in the U.S., with an average of 14.6 million listeners a week. In the last year, the 28-year-old program has seen its audience grow 16% -- benefiting from Americans' increased appetite for news. Hoping to capitalize on its success, Marketplace has launched an ambitious plan to remain a vital source for economic information as consumers' listening habits change, putting a strain the traditional broadcast model.
This chatbot fought parking fines and now it's helping refugees
Refugees can now use a Facebook chatbot to apply for asylum in the US, Canada, and the UK -- helping them navigate unfamiliar legal systems and avoid exorbitant lawyers' fees. It's an update to DoNotPay -- a Facebook chatbot that assisted 250,000 people in challenging parking fines, and has since been expanded into multiple other sectors, from claiming compensation for delayed flights to providing HIV legal advice. "Ultimately, I just want to level the playing field so there's a bot for everything," Joshua Browder, the Stanford student who created DoNotPay, told Business Insider. DoNotPay is a chatbot built in Facebook's messenger interface. It talks to the user and asks them questions, just like a real person, and records their responses. "There's this huge problem among immigration lawyers where the majority of their time is spent filling out forms rather than actually challenging the legal complexities of the case," Browder, whose grandmother fled the Holocaust, said in a phone call from California.
Sir Tim Berners-Lee Lays Out Nightmare Scenario Where AI Runs World Economy
The architect of the world wide web Sir Tim Berners-Lee today talked about some of his concerns for the internet over the coming years, including a nightmarish scenario where artificial intelligence (AI) could become the new'masters of the universe' by creating and running their own companies. Masters of the universe is a reference to Tom Wolfe's 1987 novel The Bonfire of the Vanities, regarding the men (and they were men) who started racking up multi-million dollar salaries and a great deal of influence from their finance roles on Wall Street and in London during the computerised trading boom pre-Black Monday. Speaking at the Innovate Finance Global Summit today, Berners-Lee envisioned a world where AI systems start to develop decision-making capabilities and the impact this will have on the fairness of our economic systems. He laid out the scenario where AI could decide which companies to acquire and took this to its logical conclusion: "So when AI starts to make decisions such as who gets a mortgage, that's a big one. Or which companies to acquire and when AI starts creating its own companies, creating holding companies, generating new versions of itself to run these companies. "So you have survival of the fittest going on between these AI companies until you reach the point where you wonder if it becomes possible to understand how to ensure they are being fair, and how do you describe to a computer what that means anyway?" Although it's hard to imagine shedding too many tears over the loss of the decision makers responsible for the 2007 crash, the scenario does threaten to wipe out an entire industry and raises some serious questions about how fair a financial system without any human involvement can be. This is similar to the fear laid out recently by AI-sceptic Elon Musk to Vanity Fair: "Let's say you create a self-improving AI to pick strawberries and it gets better and better at picking strawberries and picks more and more and it is self-improving, so all it really wants to do is pick strawberries.