Group items tagged

"Thailand continues to embrace advanced technology, announcing that five smaller upcountry airports will pilot a facial recognition system to reduce lines, speed immigration procedures, and increase safety. Should the pilot project prove successful, it would be scaled up nationwide. "Currently, travelers may be required to show their ID cards or passports up to three times in one trip through an airport," said Deputy Transport Minister Thaworn Senneam."

"Thailand continues to embrace advanced technology, announcing that five smaller upcountry airports will pilot a facial recognition system to reduce lines, speed immigration procedures, and increase safety. Should the pilot project prove successful, it would be scaled up nationwide. "Currently, travelers may be required to show their ID cards or passports up to three times in one trip through an airport," said Deputy Transport Minister Thaworn Senneam. Officials expect the new system will eliminate the need for immigration police officers to inspect passports. As the number of tourists and business travelers has been steadily increasing over the years, immigration lines at Thailand's major airports have grown longer, causing inconvenience to visitors and inspiring some complaints. The new system will also benefit Thais, as they must also present national identification cards at airports under the current system. Under the new system, travelers "can have their faces scanned just once at check-in counters and then board a plane without the need to show their ID cards, passports or boarding passes," Thaworn said. The five airports that will participate in the pilot project are Krabi and Surat Thani airports in the South, and Udon Thani, Ubon Ratchathani, and Khon Kaen airports in the Northeast. Not all aspects of the system have been ironed out. A panel is being formed to study the new identification system with representatives from the Department of Airports, the Ministry of the Interior, and the Royal Thai Police. They plan to work out synchronize their databases, which store information on Thai and foreign travelers."

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"EFF's Legal Director Corynne McSherry offers five lessons to keep in mind: 1. (Lots of) mistakes will be made: copyright takedowns result in the removal of tons of legitimate content. 2. Robots won't help: automated filtering tools like Content ID have been a disaster, and policing copyright with algorithms is a lot easier than policing "bad speech." 3. These systems need to be transparent and have due process. A system that allows for automated instant censorship and slow, manual review of censorship gives a huge advantage to people who want to abuse the system. 4. Punish abuse. The ability to censor other peoples' speech is no joke. If you're careless or malicious in your takedown requests, you should pay a consequence: maybe a fine, maybe being barred form using the takedown system. 5. Voluntary moderation quickly becomes mandatory. Every voluntary effort to stem copyright infringement has been followed by calls to make those efforts mandatory (and expand them)."

"The reason to look at humans is because there are certain things that humans do much better than deep-learning systems. That doesn't mean humans will ultimately be the right model. We want systems that have some properties of computers and some properties that have been borrowed from people. We don't want our AI systems to have bad memory just because people do. But since people are the only model of a system that can develop a deep understanding of something-literally the only model we've got-we need to take that model seriously."

"It's been said that software is "eating the world." More and more, critical systems that were once controlled mechanically, or by people, are coming to depend on code. This was perhaps never clearer than in the summer of 2015, when on a single day, United Airlines grounded its fleet because of a problem with its departure-management system; trading was suspended on the New York Stock Exchange after an upgrade; the front page of The Wall Street Journal's website crashed; and Seattle's 911 system went down again, this time because a different router failed. The simultaneous failure of so many software systems smelled at first of a coordinated cyberattack"

""Although manufacturers of new vehicles have built-in safeguards to prevent drivers from taking advantage of the new safety systems in vehicles, those systems are just that - supplemental safety systems," RCMP superintendent Gary Graham said in the statement. "They are not self-driving systems. They still come with the responsibility of driving.""

"The company has called for Australian policymakers to promote "copyright systems that enable appropriate and fair use of copyrighted content to enable the training of AI models in Australia on a broad and diverse range of data, while supporting workable opt-outs for entities that prefer their data not to be trained in using AI systems". The call for a fair use exception for AI systems is a view the company has expressed to the Australian government in the past, but the notion of an opt-out option for publishers is a new argument from Google."

"DNS (Domain Name System) is the system which translates web addresses, such as google.com, into an IP address, such as 74.125.224.72/. A network requires the latter to actually access a website, but if the look-up system gets confused, it can give the wrong IP address - which appears to be what happened in the Iconfactory's case. Except that rather than one DNS server messing up, it was the server for the whole of China."

"is an experimental service from Carnegie Mellon University that stores images of old processors, as well as the old operating systems that ran on top of them, along with software packages for those old OSes; this allows users to access old data from obsolete systems inside simulations of the computers that originally ran that data, using the original operating systems and applications."

"When the field of AI believes it is neutral, it both fails to notice biased data and builds systems that sanctify the status quo and advance the interests of the powerful. What is needed is a field that exposes and critiques systems that concentrate power, while co-creating new systems with impacted communities: AI by and for the people."

"A digital twin is a virtual representation of a real system - a building, the power grid, a city, even a human being - that mimics the characteristics of the system. A digital twin is more than just a computer model, however. It receives data from sensors in the real system to constantly parallel the system's state."

"The criminals who took over the library system want $35,000 in Bitcoin to give it back.The criminals who took over the library system want $35,000 in Bitcoin to give it back. The FBI is investigating. The library does not store sensitive patron data, so the hack does not expose patrons to data-breach risks."

"Google's neural networks have achieved the dream of CSI viewers everywhere: the company has revealed a new AI system capable of "enhancing" an eight-pixel square image, increasing the resolution 16-fold and effectively restoring lost data. The neural network could be used to increase the resolution of blurred or pixelated faces, in a way previously thought impossible; a similar system was demonstrated for enhancing images of bedrooms, again creating a 32x32 pixel image from an 8x8 one."

"Three months passed. Then, on Wednesday, anonymous government officials reportedly confirmed that a local company called Systems Engineering of Egypt (SEE or See Egypt) had won the bid to develop the system, which would allegedly allow the Egyptian government to sniff and analyze Internet and social media activity, as well as intercept Skype, WhatsApp and Viber conversations. "

""When you have a fully digital system you have no weapon to defend yourself if someone turns it off," he says. "If Putin invades Gotland [Sweden's largest island] it will be enough for him to turn off the payments system. No other country would even think about taking these sorts of risks, they would demand some sort of analogue system.""

""This is the largest impact on the energy system in the United States we've seen from a cyberattack, full stop," says Rob Lee, CEO of the critical-infrastructure-focused security firm Dragos. Aside from the financial impact on Colonial Pipeline or the many providers and customers of the fuel it transports, Lee points out that around 40 percent of US electricity in 2020 was produced by burning natural gas, more than any other source. That means, he argues, that the threat of cyberattacks on a pipeline presents a significant threat to the civilian power grid. "You have a real ability to impact the electric system in a broad way by cutting the supply of natural gas. This is a big deal," he adds. "I think Congress is going to have questions. A provider got hit with ransomware from a criminal act, this wasn't even a state-sponsored attack, and it impacted the system in this way?""

"More algorithmic decision making and decision augmenting systems will be used in the coming years. Unlike the approach taken for A-levels, future systems may include opaque AI-led decision making. Despite such risks there remain no clear picture of how public sector bodies - government, local councils, police forces and more - are using algorithmic systems for decision making."

"The system is called as"Intelligent Classroom Behavior Management System" and it is being used at Hangzhou No. 11 High School. With scanning facial expressions the system has the ability to even analysis six types of behaviors by the students such as standing up, reading, writing, hand raising, listening to the teacher, and leaning on the desk."

"Every day, nearly 5 million people use São Paulo's metro system. Every one of their faces may have been recorded in a facial recognition system that has been in use since early 2020. In a March 23 decision, a São Paulo State court ordered the Metro company to stop using the technology. The Metro appealed the decision, claiming its monitoring system "rigorously obeys the General Law on Data Protection," but the argument was rejected by the same court in mid-April."