For anyone who cares about Internet security and encryption, the advent of practical quantum computing looms like the Y2K bug in the 1990s, a countdown to an unpredictable event that might just break everything. The concern: hackers and intelligence agencies could use advanced quantum attacks to crack current encryption techniques and learn, well, anything they want. Now Google is starting the slow, hard work of preparing for that future, beginning with a web browser designed to keep your secrets even when they're attacked by a quantum computer more powerful than any the world has seen. The search giant today revealed that it's been rolling out a new form of encryption in its Chrome browser that's designed to resist not just existing crypto-cracking methods, but also attacks that might take advantage of a future quantum computer that accelerates codebreaking techniques untold gajillions of times over. For now, it's only testing that new so-called "post-quantum" crypto in some single digit percentage of Chrome desktop installations, which will be updated so that they use the new encryption protocol when they connect to some Google services.

The traditional definition of artificial intelligence is the ability of machines to execute tasks and solve problems in ways normally attributed to humans. Some tasks that we consider simple--recognizing an object in a photo, driving a car--are incredibly complex for AI. Machines can surpass us when it comes to things like playing chess, but those machines are limited by the manual nature of their programming; a 30 gadget can beat us at a board game, but it can't do--or learn to do--anything else. This is where machine learning comes in. Show millions of cat photos to a machine, and it will hone its algorithms to improve at recognizing pictures of cats.

"As we know, there are known knowns. There are things we know we know," famously explained former Defense Secretary Donald Rumsfeld. "We also know there are known unknowns; that is to say we know there are some things we do not know. But there are also unknown unknowns--the ones we don't know we don't know." Thanks to a technology innovation known as swarm AI the unknown unknown variables in politics and business may be evaporating.

DeNA Co., best known as a mobile video game maker, said on Thursday it will launch a driverless bus service at a park in Chiba Prefecture from next month. The Tokyo-based firm said it has partnered with EasyMile S.A., a French startup that manufactures self-driving buses. There are not many firms that can provide "completely driverless vehicles that can be used for actual services," said Hiroshi Nakajima, who heads DeNA's automotive business, explaining why his company chose to partner with EasyMile. DeNA's new service will employ the company's EZ10 bus, an electric vehicle that can accommodate 12 people. The limited-time service, dubbed Robot Shuttle, will begin on a yet-to-be-determined date in August inside the 21,000 sq.-meter Toyosuna Park in Chiba's Makuhari district, adjacent to vast Aeon shopping complex.

If you've been following the news recently, you've probably heard a few of the breaking stories about robots beating humans in fairly complex tasks. It started with game show contestants, evolved into outperforming human instinct, and now computers are even outperforming fighter pilots in tactical simulations. What does this all mean for you? Although Hollywood loves to depict artificial intelligence as robots out to destroy humans, that's far from the case in the real world. Chances are you've been using artificial intelligence for awhile and haven't even noticed.

Google DeepMind has announced its second collaboration with the NHS, as part of which it will work with Moorfields Eye Hospital in east London to build a machine learning system which will eventually be able to recognise sight-threatening conditions from just a digital scan of the eye. The five-year research project will draw on one million anonymous eye scans which are held on Moorfields' patient database, reports Ars Technica, with the aim to speed up the complex and time-consuming process of analysing eye scans. From the report:The hope is that this will allow diagnoses of common causes of sight loss, like diabetic retinopathy and age-related macular degeneration, to be spotted more rapidly and hence be treated more effectively. For example, Google says that up to 98 percent of sight loss resulting from diabetes can be prevented by early detection and treatment. Two million people are already living with sight loss in the UK, of whom around 360,000 are registered as blind or partially-sighted.

The complex passenger flows, demanding identification challenges and pressure-filled security conditions that are inherent in border control make the arena appear an interesting prospect for artificial intelligence-based solutions that can revolutionise critical processes. Machine-learning technologies being developed could identify risk patterns at speeds way beyond humans' capacity, and when tied with the powerful security offered by biometrics, AI's potential to disrupt the world of borders expands even further. What then is the future for the border guard? Will their decades of document security expertise and nuanced instincts be made rendered obsolete by a'border bot'? Planet Biometrics caught up with Cyrille Bataller, Artificial Intelligence lead at Accenture, to learn about his team's AI initiatives for borders and about his views on the importance of a "people-first" approach.

Some very intelligent people – including Stephen Hawking, Elon Musk and Bill Gates – seem to have been seduced by the idea that because computers are becoming ever faster calculating devices that at some point relatively soon we will reach and pass a "singularity" at which computers will become "more intelligent" than humans. Some are terrified that a society of intelligent computers will (perhaps violently) replace the human race, echoing films such as the Terminator; others – very controversially – see the development of such technologies as an opportunity to evolve into a "post-human" species. Already, some prominent technologists including Tim O'Reilly are arguing that we should replace current models of public services, not just in infrastructure but in human services such as social care and education, with "algorithmic regulation". Algorithmic regulation proposes that the role of human decision-makers and policy-makers should be replaced by automated systems that compare the outcomes of public services to desired objectives through the measurement of data, and make automatic adjustments to address any discrepancies. Not only does that approach cede far too much control over people's lives to technology; it fundamentally misunderstands what technology is capable of doing. For both ethical and scientific reasons, in human domains technology should support us taking decisions about our lives, it should not take them for us. At the MIT Sloan Initiative on the Digital Economy last week I got a chance to discuss some of these issues with Andy McAfee and Erik Brynjolfsson, authors of "The Second Machine Age", recently highlighted by Bloomberg as one of the top books of 2014. Andy and Erik compare the current transformation of our world by digital technology to the last great transformation, the Industrial Revolution.

You may have heard about the Donald Trump bot army and the Twitter bots that have influenced elections in Latin America, but there are other bots out there, bots that connect citizens to services, bots that plan to crowdsource the election of a president or act as your personal assistant in government. They're going to change civil society, how people interact with government, and the self-governance of free societies. Here are five example of bots that have already impacted or will impact democracy. Dirty Water VT sends a tweet each time a sewage spill occurs in the state of Vermont. Trib IL CampaignCash sends a tweet any time a campaign contribution is made above 1,000 in the state of Illinois.

SINGAPORE – More than half of workers in five Southeast Asian countries are at high risk of losing their jobs to automation in the next two decades, an International Labour Organization study found, with those in the garment industry particularly vulnerable. About 137 million workers or 56 percent of the salaried workforce from Cambodia, Indonesia, the Philippines, Thailand and Vietnam, fall under the high-risk category, the study showed. "Countries that compete on low-wage labor need to reposition themselves. Price advantage is no longer enough," said Deborah France-Massin, director for the ILO's bureau for employers' activities. The report said workers have to be trained to work effectively alongside digitalized machines.