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"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

"The type of device matters-some are associated with worse student outcomes. Geography matters-technology is associated with higher student outcomes in the United States than in other regions. Who is using the technology matters-technology in the hands of teachers is associated with higher scores than technology in the hands of students. Intensity matters-students who use technology intensely or not at all perform better than those with moderate use. A school system's current performance level matters-in lower-performing school systems, technology is associated with worse results."

"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"

"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."

"They still have far more advanced technology that they haven't made publicly available yet. Something that does more or less what Bard does could have been released over two years ago. They've had that technology for over two years. What they've spent the intervening two years doing is working on the safety of it - making sure that it doesn't make things up too often, making sure that it doesn't have racial or gender biases, or political biases, things like that. That's what they spent those two years doing. But the basic existence of that technology is years old, at this point. And in those two years, it wasn't like they weren't inventing other things. There are plenty of other systems that give Google's AI more capabilities, more features, make it smarter. The most sophisticated system I ever got to play with was heavily multimodal - not just incorporating images, but incorporating sounds, giving it access to the Google Books API, giving it access to essentially every API backend that Google had, and allowing it to just gain an understanding of all of it."

"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."

"The problem extends beyond the Pegasus project. Installed in Mexico City is one of the largest urban surveillance systems in the Americas: El Centro de Comando, Control, Cómputo, Comunicaciones y Contacto Ciudadano, better known as El C5. The network, connected to panic buttons and command centers, is spread over 1,485 kilometers with software designed to automatically detect license plates. On top of that, the number of installed cameras grew from 18 million to 65 million between 2018 and 2022, with stated plans to add at least an additional 16 million more. Despite its apparent pre-eminence, issues have arisen with the C5, from false identifications to mishandling of personal data. Technological malfunctions have also been shown to impact the outcomes of criminal cases because of the assumption of objectivity that video surveillance supposedly construes. The sprawling C5 system is dwarfed only by the Titan, an expansive intelligence and security database, both in terms of scale and threat to civil liberties. The software is used by several Mexican state governments to combine location data with other private information, including financial, government, and telecom data, to geolocate individuals across the country in real time. Governmental officials have been criticized for the controversial use of the database to target public figures, but, more problematically, access to Titan-enabled intel can be gained through an underground market, making it a further liability. The extent to which artificial intelligence has been incorporated into the C5 and Titan is still not clear, but the specter of surveillance remains large and is set to cause more worries with the addition of new smart technologies."

"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."

"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."

"The folks at Signal are taking one of the four post-quantum cryptography algorithms that have been chosen by the US National Institute of Standards and Technology to withstand attacks by quantum computers, but instead of using it to replace their existing public-key encryption system, they are layering the new algorithm on top of what they already have. "We are augmenting our existing cryptosystems," they say, "such that an attacker must break both systems in order to compute the keys protecting people's communications." And they will be rolling out this augmented system to all users in the next few months."

"That is why we must demand transparency here, especially in the case of technology that uses human-like interfaces such as language. For any automated system, we need to know what it was trained to do, what training data was used, who chose that data and for what purpose. In the words of AI researchers Timnit Gebru and Margaret Mitchell, mimicking human behaviour is a "bright line" - a clear boundary not to be crossed - in computer software development. We treat interactions with things we perceive as human or human-like differently. With systems such as LaMDA we see their potential perils and the urgent need to design systems in ways that don't abuse our empathy or trust."

Motka Manjhi had been back and forth to the ration shop four or five times, his wife said, but on each occasion he returned empty-handed. His thumbprint, needed to prove his identity, wasn't registering on the new system."

"Rite Aid facial recognition misidentified Black, Latino and Asian people as 'likely' shoplifters Surveillance systems incorrectly and without customer consent marked shoppers as 'persons of interest', an FTC settlement says Johana Bhuiyan and agencies Wed 20 Dec 2023 14.29 EST Last modified on Thu 21 Dec 2023 12.04 EST Rite Aid used facial recognition systems to identify shoppers that were previously deemed "likely to engage" in shoplifting without customer consent and misidentified people - particularly women and Black, Latino or Asian people - on "numerous" occasions, according to a new settlement with the Federal Trade Commission. As part of the settlement, Rite Aid has been forbidden from deploying facial recognition technology in its stores for five years."

"ARGUS stands for Autonomous Real-Time Ground Ubiquitous Surveillance. Its alternative designation is Wide Area Persistent Stare (WAPS). The project integrates many sophisticated technologies into a formidable surveillance system, combining images from 368 independent into a single mosaic image. The result is a video with a combined resolution of reportedly 1.8 gigapixels."

"But if MH370 had been fitted with technology that made use of the cloud it may never have been lost in the first place. Instead of relying on the combination of GPS, primary and secondary radar, and aircraft communications addressing and reporting systems (ACARS) to keep track of planes, we should be making sure they send regular flight information to the data centers in the cloud."

"The UK is not Russia. For all that the many civil liberty campaigners will complain, as is their role, the independence of the judiciary remains strong. The laws relating to freedom of association, expression and right to privacy are well defended in parliament and outside. But the technology, the means by which the state might insert itself into our lives, is developing apace. The checks and balances are not. The Guardian has revealed that the government is legislating, without fanfare, to allow the police and the National Crime Agency to run facial recognition searches across the UK's driving licence records. When the police have an image, they will be able to identify the person, it is hoped, through the photographic images the state holds for the purposes of ensuring that the roads are safe. Searching those digital images would have taken more man-hours than could have been justified in the old analogue world. It is now a matter of pushing a button, thanks to the wonders of artificial intelligence systems that are able to match biometric measurements in a flash."