Asia
In India, the Law is Yet to Transition Into the Age of Artificial Intelligence
Indian laws need to be examined to better address the changes in technology. The explosion of the SpaceX Falcon 9 rocket at its Cape Canaveral launch pad on September 1 and the crash of Tesla's driverless car in June are powerful reminders that while technology driven by artificial intelligence (AI) is advancing at a dizzying pace, regulators cannot lag behind. Although self-driving cars have not yet hit the Indian roads, app-based taxi aggregators such as Uber and Ola do operate in the country. We have all experienced the many benefits of AI – email spam filtering, web page translations and Facebook's auto recognition to tag friends and family in a photograph. A number of AI startups in India are helping people book cabs, order food, pay bills and recharge mobile phones.
Changing landscape of a digitised world: Are you ready?
We are living in a society where change is exponential - perhaps it has always been. What types of technologies will be foundational to our business? The disruption of Blockchain to data and databases parallels the disruption of the Internet to communications and networks. From Wall Street to Fintech Accelerators, incredible investments at Blockchain have led to incredible speed of innovation. This disruption is now ready to penetrate enterprise IT.
BAE Systems Wants To Defeat Jammers With Thinking Machines
Radar used to be a slow science. Electronic warfare is a blanket term that encompasses the radar signals used to detect an attack, the radios used to communicate that the attack is coming, and the specific radio interference sent to confuse enemy radars as they're attacking. And in the Cold War, every part of this used to be analog. "In Vietnam we learned what an SA-2 radar signal started looking like," Joshua Niedzwiecki, director of the Sensor Processing and Exploitation group at BAE Systems, tells Popular Science. The SA-2 is a surface to air missile that destroyed a lot of U.S. Air Force planes, especially B-52 bombers, over Vietnam.
MIT-Developed Robot Helps Nurses Make Decisions
BOSTON (CBS) – Robots in the operating room are nothing new--but now, a robot named Ginger has been specifically designed to help nurses. Kristen Jerrier works on the Labor and Delivery floor at Beth Israel Deaconess Medical Center. She's the resource nurse, which pretty much means she's in charge. "I usually decide which nurse will take that patient, what room they'll go to and I'm usually talking to the physician about what that patient might need," she says. And when it comes to the business of delivering babies, things can get hectic real fast.
Internet of Things: Are We There Yet? (The 2016 IoT Landscape)
Is the Internet of Things the world's most confusing tech trend? On the one hand, we're told it's going to be epic, and soon – all predictions are either in tens of billions (of connected devices) and trillions (of dollars of economic value to be created). On the other hand, the dominant feeling expressed by end users (including at this year's CES show, arguably the bellwether of the industry) is essentially "meh" – right now the IoT feels like an avalanche of new connected products, many of which seem to solve trivial, "first world" problems: expensive gadgets that resolutely fall in the "nice to have" category, rather than "must have". And, for all the talk about a mega tech trend, things seem to be moving at the speed of molasses, with little discernible progress year on year. Part of the problem is perhaps one of semantics. While gadgets are indeed part of the category (and quite often very large markets onto themselves), the Internet of Things (which we define as any "connected hardware" other than desktops, laptops and smartphones) is a much broader, and deeper, trend that cuts across both the consumer, enterprise and industrial spaces.
Narcissists may start out popular, but people see through them in the long run
But if, as they say in this electoral season, you're looking to "grow your base," exercising emotional intelligence -- expressing empathy, checking your emotions in a bid to avoid conflict, and investing in personal relationships -- is a strategy that beats narcissism over the long term. A new exploration of how we make friends and influence people rigorously measured the emergence of popularity in small groups -- first-year college students organized into 15 study groups of about 20 in Poland. In the first week of their assignment to a group and then again three months later, 170 of the freshmen named the person or people they most liked in their group. Upon recruitment into the study, each participant completed standard inventories assessing their narcissistic personality traits and gauging their emotional intelligence. The findings: When a group of strangers is thrown together, individuals who score high on narcissism enjoy an early surge of admiration, recognition and friendship among their peers.
Google's new translation software is powered by brainlike artificial intelligence
Quoc Le is no stranger to the indignity of translation. Whenever the Google research scientist in Mountain View, California, visits his native Vietnam, he laughs with his parents over mistranslations in the very system he is helping shape, the 10-year-old online service Google Translate. Most errors are tiny--not important enough to remember. But together, they tell a larger story: "Translation is not a solved problem," he says. But that may all change soon.
Microsoft CEO Satya Nadella on artificial intelligence, algorithmic accountability, and what he learned from Tay
Microsoft is quickly pivoting to position itself as a leader in artificial intelligence. In his second keynote on the subject this year, CEO Satya Nadella yesterday (Sept. Quartz caught up with Nadella after he hopped off stage, to talk about the progress of his quest to make machines that assist humanity in a transparent way. You started talking earlier in the year saying we need to create transparent machines, ethical machines, accountable machines. What has been done since then, what is concrete?
You Too Can Become a Machine Learning Rock Star! No PhD Necessary.
If you are a strong-armed NFL quarterback who reads defenses like genre fiction, a movie star whose name alone can open a film in China, or a stock picker who beats Buffet every time, congratulations: you are almost as valuable as a data scientist or machine learning engineer with a PhD from Stanford, MIT, or Carnegie Mellon. At least it seems that way. Every company in Silicon Valley -- increasingly, every company everywhere -- is frantically competing for those human prizes, in a human resources version of a truffle hunt. As businesses now realize that their competitiveness relies on machine learning and artificial intelligence in general, job openings for those trained in the field well exceed all the people in the world who aren't locked up by Facebook, Google, and other superpowers. But what if you could get the benefits of AI without having to hire those hard-to-find and expensive-to-woo talents?
Earthquakes Will Be as Predictable as Hurricanes Thanks to AI
In the fall of 2010, I traveled to New Zealand, and one of the places I visited was the small south island city of Christchurch. I was charmed by the tree-lined Avon River, the English-style cathedral in the main square, and the mountains looming in the distance. Inside the cathedral was a stack of poems with a moving message of peace. I saved one to tack on my cork board at home, where it remains to this day. Three months later I turned on the news to see the Christchurch cathedral splintered and broken, its spire crumbled to the ground.