A library of snippets
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Their phones record details of other devices they have been near, and if one of those users later marks themselves as infectious, exposed individuals receive a notification.
From Google and Apple to roll out phase two of contact-tracing system | Technology | The Guardian:
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Policymakers around the world yearn to be free of the dollar’s grip. That seems unlikely.
From Buck up – Global trade’s dependence on dollars lessens its benefits | Schools brief | The Economist:
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The dollar’s share of global invoicing is five times its share of global trade.
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Jaspreet Marwaha, from Birmingham, gave the information of more than 80 accounts to Mohammed Saif Maqsood, from Blackburn, who paid £50 for each set of card details and swiped between £82,000 and £92,000 from them.
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Hereby the required components for a comprehensive identity management system in form of strong identity validation, local data storage and downstream authentication could be combined. This approach not only allows Apple to establish themselves as a digital identity provider, but also to fulfill the necessary technical prerequisites for the targeted positioning within the profitable e-Health sector.
From Apple Identity Wallet – Disruption as a catalyst for digital transformation:
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Europe’s biggest neobanks – Revolut, N26, Monzo and Starling – promised to make banking better. Here was a fresh, new set of distinctly European tech startups sitting in the wallets of millions of genuine users – the familiar flash of neon colored cards in pubs, cafes and shops had sparked wildfire word-out-mouth marketing across the U.K. in particular. From 2014 onwards, the challenger banks offered something simple, better, entirely online and free of the stodgy lineage of century-old banking brands for whom current account banking had become a largely loveless and loss-making exercise. But the pandemic and the subsequent ‘new normal’ across Europe has pushed neobanks to the edge. With not a penny of profit yet between them, the pandemic was an opportunity for the startups to strengthen their relationship with users, and come out of the lockdown having proved their value over the big banks they sought to disrupt. This simply didn’t happen.
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“An internet-ready mobile phone is the bottom rung of economic mobility. While it’s well established that breakthroughs in mobile banking have improved financial inclusion, blockchain-based payment systems have the potential to reduce costs and improve access even further.”
From “Could Digital Currencies Make Being Poor Less Costly?”.
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The technology company filed a patent application with the U.S. Patent & Trademark Office on July 2 that describes the technology it is trying to develop in place of traditional driver’s licenses, passports and varied ID cards for government purposes or access to private property.
From Apple files another mobile ID, passport patent: Report | Fox Business:
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A jealous boyfriend is facing jail for taking his partner hostage and attacking her after friends tagged her on Facebook at a male strip show after she claimed to have been going for ‘a meal with the girls’.
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At the end of last year, the National Institute of Standards and Technology (NIST) released its review of 189 facial recognition algorithms submitted by 99 companies. The results were underwhelming. The tech law enforcement and security agencies seem to feel is a game changer is just more of the same bias we’ve been subjected to for years without any AI assistance.
Asian and African American people were up to 100 times more likely to be misidentified than white men, depending on the particular algorithm and type of search. Native Americans had the highest false-positive rate of all ethnicities, according to the study, which found that systems varied widely in their accuracy.
The faces of African American women were falsely identified more often in the kinds of searches used by police investigators where an image is compared to thousands or millions of others in hopes of identifying a suspect.
Who were the winners in NIST’s facial recognition runoff? These guys:
Middle-aged white men generally benefited from the highest accuracy rates.
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NIST also noticed a couple of other quirks in its study. Mask coverage obviously matters. The more that’s covered, the less likely it is software will draw the correct conclusion. But color also matters. Black masks produced more bad results than blue masks.
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Snippings