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2025-04-24 15:00:35| Engadget

Perplexity has rolled out an update for its iOS app, giving iPhone users access to its AI voice assistant that was initially released for Android users earlier this year. Its voice assistant can perform tasks for the user by browsing the web or accessing other apps for them. If they ask the assistant to find them a table for a specific restaurant, for instance, Perplexity can launch the OpenTable app with the number of people, the date and the time already filled out. The user still has to perform the final action and book a reservation, but it's already laid out for them all they have to do is click the button.  Users can also ask the assistant to draft emails for them for specific contacts, which they'll have to send themselves, and create reminders for them on the calendar. They can ask it to recommend them spots they could visit, such as restaurants serving food they want to eat, and Perplexity will mark locations on the map. Of course, they can ask the assistant to do web searches for them, such as finding specific videos that Perplexity can open on the YouTube app.  As The Verge notes, Perplexity's voice assistant works on older iPhones, unlike Apple Intelligence that only works on the company's more recent models. The iOS assistant also doesn't have the capability to look at the world for the user and tell them what they're seeing yet, though the feature is already available on Android and could make its way to iPhones in the future.  Introducing Perplexity iOS Voice AssistantVoice Assistant uses web browsing and multi-app actions to book reservations, send emails and calendar invites, play media, and moreall from the Perplexity iOS app.Update your app in the App Store and start asking today. pic.twitter.com/OKdlTaG9CO Perplexity (@perplexity_ai) April 23, 2025 fThis article originally appeared on Engadget at https://www.engadget.com/ai/perplexitys-ios-app-gets-an-ai-voice-assistant-130035088.html?src=rss


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2025-04-24 14:19:55| Engadget

In case you're wondering how Moore's Law is doing, Taiwan Semiconductor Manufacturing Corp. (TSMC) just unveiled its latest 1.4-nanometer (nm) A14 process that will enter production in 2028. The technology promises a 15 percent performance boost, plus a 30 percent reduction in power draw compared to 2nm processors set to go into production later in 2025, TSMC said. The 1.4nm tech is likely to be used in processors for Apple, Intel and AMD. The performance gains are thanks to a 20 percent logic density improvement over 2nm tech. The company's 2nm process saw similar improvements over the 3nm chips, so the 1.4nm chips could be up to 30 percent faster and 60 percent more efficient than current chips.  Apple's chips today are based on TSMC's 3nm process, and the upcoming iPhone 17, including a rumored ultra-slim version, will reportedly use that as well with the third-generation N3P node. So, Apple won't likely switch to TSMC's 2nm tech for another two years, as MacRumors pointed out. That in turn means Apple won't likely employee 1.4nm tech in mobile and desktop devices for three or more generations and it could be that long before we see it in AMD and other processors as well. However, TSMC usually has multiple generations of a given node (with small improvements in each), and Apple has been adept at boosting performance of its Silicon design before switching to smaller processes.  This article originally appeared on Engadget at https://www.engadget.com/mobile/smartphones/tsmc-shows-off-14nm-chip-tech-that-will-appear-in-future-iphones-and-other-devices-121955292.html?src=rss


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2025-04-24 14:00:07| Engadget

Strava has had a few new developments recently, including buying personalized running plan app Runna. Now, it has launched a new training feature for distance runners called Performance Predictions, which gives estimated finish times for difference race lengths.  The app will now offer possible times for a 5K, 10K, half marathon and marathon so, now, it's not only your own goals you have to live up to but Strava's as well. No pressure. Strava is providing these predictions using a machine learning model (shocking) which looks at over 100 data points from the individual and the performance of similar runners on the app. The times should change after every run and based on rest periods.  Strava claims that users logged almost 1 billion runs on its app last year, so it should be helpful to some (and apply added pressure to others). Subscribers can access it in Strava's Progress tab. It will also show you how much those numbers have recently changed based and your average time per mile. This article originally appeared on Engadget at https://www.engadget.com/apps/strava-can-predict-your-race-finish-times-120007844.html?src=rss


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