Apple to Open iPhone’s NFC Chip to Third-Party Developers

iOS 18 phone app comes with T9 support


Technology giant Apple made an important announcement today. The company is making the iPhone’s NFC chip available to third-party developers with iOS 18.1. opener.

Coming out later this year With iOS 18.1 update With the new APIs, third-party developers will be able to offer in-app contactless payments separately from Apple Pay and Wallet. Apple, which has left NFC exclusive to Apple Pay for years, With the step it has taken, it opens doors other than payment. Opening up NFC to other developers is a way to develop contactless key systems on iPhones (car keys, smart locks, hotel/employee cards, etc.) paves the way for the implementation of many different useful verification systems, especially. The only downside of this new development is that the new APIs that are being prepared will initially only be USA, EU countries, Australia, Brazil, Canada, Japan And New ZealandIt will be available in . Before that, a Apple Intelligence news had arrived. According to Mark Gurman, a reliable source for the tech giant, “paid” Apple Intelligence (AI) features immediately won’t come outMark Gurman on AI features to be sold under monthly subscription thinks it’s at least three years away. As reported, the company does not currently have a special productive artificial intelligence feature/system that will be offered for a fee. The tech giant had this to say about its AI systems:

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“The company today announced that it is bringing Apple Intelligence, a personalized intelligence system that combines the power of generative models with personal context to deliver incredibly useful and novel intelligent technologies, to iPhone, iPad, and Mac. The system is fully integrated into iOS 18, iPadOS 18, and macOS Sequoia. It uses the power of the Apple chip to understand and render language and images, perform actions in apps, and make inferences based on personal context to make everyday tasks easier. “With Private Cloud Compute, the company can flexibly scale its computing capacity between on-device processing and broader server-based models running on dedicated processor servers. This sets a new standard for privacy in AI.”

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