Airports uniquely demand both a very high passenger throughput and a very high degree of security underpinned by the positive identity confirmation of those passengers. At multiple points throughout the air travel experience, traveler identity must be confirmed to meet commercial policy, physical security, or national security requirements. This uncommon set of demands has forced innovation in the form of automated identity confirmation, primarily using biometrics. For two decades, some combination of face, fingerprint, and iris recognition has been deployed in an effort to speed up identity confirmation, with the goal of creating a secure and frictionless passenger experience. Thanks to rapid advances in Artificial Intelligence and specific technologies like Deep Learning and Convolutional Neural Networks, face recognition, in particular, has dramatically improved in the last few years.
Portland's 2016 entry for a $50 million federal contest called the Smart City Challenge described a Pacific Northwest tech-topia. It promised autonomous shuttles, trucks, and cars on city streets, through partnerships with Daimler and Lyft. Sensors from Alphabet's Sidewalk Labs would monitor people walking and biking around the city to analyze traffic patterns. The Rose City didn't win, and four years later there are no self-driving Lyfts on its streets. One thing that has changed: Portland's conception of what makes a city smart. This month, Portland adopted the nation's most restrictive laws on face recognition, banning private as well as government use of the technology.
Non-Metris Space Library or shortly NMSLIB is an efficient similarity search package. We have mentioned similarity search solutions of tech giants: Spotify Annoy and Facebook Faiss. However, this package was developed by just a few PhD students. Amazon adopted nmslib in Elasticsearch recently. Product and service recommendations, image, document and video search are some use cases for similarity search.
Artificial Intelligence is one of the most innovative technologies in recent times and is taking mobile technology to the next level. AI technology enhances user experience with various features like face recognition, voice commands, image labeling. Alan Turing, an American Computer Scientist has sowed the seeds of the concept of artificial intelligence in 1956. He also developed a'Turing test' to determine whether a computer (machine) can intelligently think like a human. Today, every industry has realized the fact that AI is the next big technology that will transform human machine interactions. AI automates specific tasks and helps in problem solving.
Amba Kak was in law school in India when the country rolled out the Aadhaar project in 2009. The national biometric ID system, conceived as a comprehensive identity program, sought to collect the fingerprints, iris scans, and photographs of all residents. It wasn't long, Kak remembers, before stories about its devastating consequences began to spread. "We were suddenly hearing reports of how manual laborers who work with their hands--how their fingerprints were failing the system, and they were then being denied access to basic necessities," she says. "We actually had starvation deaths in India that were being linked to the barriers that these biometric ID systems were creating. So it was a really crucial issue."
In a coupling that possesses all the ingredients of a personal privacy and/or constitutionals rights problem standing by to take place, the dystopian face awareness program creator Clearview Artificial Intelligence protected an on-going arrangement along with U.S. Immigration as well as Customs Enforcement today. ICE– the firm whose ultimate favorites feature placing immigrant youngsters in crates as well as imperiling to boot global trainees abroad as a result of the astronomical– is actually paying off Clearview Artificial Intelligence $224,000 of what is actually merely called "goal assistance" as well as "Clearview licenses" in federal government recruiting reports 1st found due to the non-profit technology guard dog Tech Inquiry. That probably translates to accessibility to Clearview Artificial Intelligence's face awareness program, which utilizes a data source the organization professes is actually improved billions of photographes scratched coming from everyone internet, featuring social media sites systems. Personal privacy proponents as well as leading technology firms identical have actually frequently rapped Clearview Artificial Intelligence's crooked data-gathering approaches, along with Google, Facebook, as well as numerous various other web sites submitting cease-and-desist characters to the organization in February for breaking their corresponding ToS arrangements. Also questionable is actually the organization's near connection along with the authorities, especially considered that existing skin awareness technology is actually not either a) reputable sufficient to address scenarios, b) moderated to any type of purposeful level, or even c) dissociable coming from ethnological profiling.
In the first of a four-part series on FaceID, host Jennifer Strong explores the false arrest of Robert Williams by police in Detroit. The odd thing about Willliams's ordeal wasn't that police used face recognition to ID him--it's that the cops told him about it. There's no law saying they have to. The episode starts to unpack the complexities of this technology and introduces some thorny questions about its use. Credits: This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley and Emma Cillekens.
The UK Court of Appeal has unanimously reached a decision against a face-recognition system used by South Wales Police. The judgment, which called the use of automated face recognition (AFR) "unlawful", could have ramifications for the widespread use of such technology across the UK. But there is disagreement about exactly what the consequences will be. Ed Bridges, who initially launched a case after police cameras digitally analysed his face in the street, had appealed, with the support of personal rights campaign group Liberty, against the use of face recognition by police. The police force claimed in court that the technology was similar to the use of closed-circuit television (CCTV) cameras in cities.