Try These 3 iOS 27 Safari Settings to Get More Out of Apple's Browser Apple's Safari browser gets a few helpful automation and personalization features in iOS 27. At Apple's recent hardware event, the software powering its foldable iPhone Duo stood out, with translucent Liquid Glass effects and vertically stacked icons. But you don't need to snatch a folding smartphone to reap the benefits of Apple's iOS 27 updates. When iOS 27 leaves beta on Monday, Siri AI's standalone app and smartphone search integration will likely be the most immediately obvious change for many iPhone users. But it's worth digging even deeper to uncover helpful additions to key apps, like Apple's Safari browser, as well as revamps to underutilized apps, like Shortcuts .

You can do this by clicking on Safari in the Menu Bar, or simply by pressing "Command," (yes, the comma key). With Safari settings on your screen, look for the Tabs menu. The first option should be Organize Tabs. Select Automatically Create Topics to have Safari organize your tabs for you. Just close the settings window and the feature will be there waiting for you. Now you can open as many tabs as you want (or as many as your Mac's RAM can handle) and they'll be automatically organized by topic.

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Apple has announced the latest version of macOS. It's all about the reintroduction of Siri, which is now accessible from anywhere on the Mac desktop. The official name of the Mac's operating system is macOS 27 Golden Gate, keeping the California naming scheme around. This year's update is focused on the relaunched Siri (now known as Siri AI), which really strives to transform into a proper AI chatbot along the lines of ChatGPT or Google Gemini--with a unique Apple twist. Is Your Mac Compatible With macOS Golden Gate?

We investigate the use of Long Short-Term Memory (LSTM) and Decomposition-LSTM (DLSTM) networks, combined with an ensemble algorithm, to predict solar flare occurrences using time-series data from the GOES catalog. The dataset spans from 2003 to 2023 and includes 151,071 flare events. Among approximately possible patterns, 7,552 yearly pattern windows are identified, highlighting the challenge of long-term forecasting due to the Sun's complex, self-organized criticality-driven behavior. A sliding window technique is employed to detect temporal quasi-patterns in both irregular and regularized flare time series. Regularization reduces complexity, enhances large flare activity, and captures active days more effectively. To address class imbalance, resampling methods are applied. LSTM and DLSTM models are trained on sequences of peak fluxes and waiting times from irregular time series, while LSTM and DLSTM, integrated with an ensemble approach, are applied to sliding windows of regularized time series with a 3-hour interval. Performance metrics, particularly TSS (0.74), recall (0.95) and the area under the curve (AUC=0.87) in the receiver operating characteristic (ROC), indicate that DLSTM with an ensemble approach on regularized time series outperforms other models, offering more accurate large-flare forecasts with fewer false errors compared to models trained on irregular time series. The superior performance of DLSTM is attributed to its ability to decompose time series into trend and seasonal components, effectively isolating random noise. This study underscores the potential of advanced machine learning techniques for solar flare prediction and highlights the importance of incorporating various solar cycle phases and resampling strategies to enhance forecasting reliability.

AI services like Perplexity or OpenAI's SearchGPT could be search engine options in a future version of Safari, Bloomberg reports. The tentative plans were shared by Eddy Cue, Apple's senior vice president of services, while on the stand for Google's ongoing search antitrust case. Cue was called to testify because of the deal Google and Apple have to keep Google Search as the default search engine on the iPhone. Cue claims Apple has discussed a possible Safari-integration with Perplexity, but didn't share any definitive plans during his testimony. It's clear that he believes AI assistants will inevitably supplant traditional search engines, though.

These settings allow your iPhone to share data that helps third parties target advertisements to you and measure advertisement engagement. Chip Hallett, author of The Ultimate Privacy Playbook, explained how to turn these'dangerous' settings off to ensure that your data is always kept private. To disable them, start by opening the settings app. Then scroll down and tap'Safari.' Then scroll all the way down to the bottom of the screen where it says'Advanced.' Tap this tab, and you should see a toggle on/off button next to'Privacy Preserving Ad Measurement.'

With the rollout of iOS 18 this fall, Apple is introducing some big changes to its iPhones: more customization options for home screens, a redesigned Control Center, support for the RCS text messaging standard, and of course a bunch of generative AI features put under the umbrella of Apple Intelligence. Individual iOS apps are getting upgrades too, including Safari, and one of the new features you'll notice in the web browser once you've got iOS 18 installed is the option to remove "distracting" items from a page. It's called Distraction Control, and the idea is you can cut out pieces of a page you're not necessarily interested in, like images or menus. This isn't the Reader mode that reformats pages so only the main text and images are showing (and which itself is getting an update in iOS 18). It's not an ad blocker either, because you won't be able to persistently hide ads or any other frequently updated content. But it is a potentially useful tool to improve the web browsing experience.

About a month after Apple announced it at WWDC 2024, macOS Sequoia is available to test-drive as a public beta. Although we don't recommend installing it on your primary Mac, here's how to get the 2024 version of macOS up and running ahead of its official rollout in the fall. First, you'll need a recent Mac to run the Sequoia public beta. Apple's software supports the following models: You'll notice that list still includes (up to) the last few generations of Intel Macs, so Apple may still be several years away from requiring Apple Silicon for its latest software. However, Apple Intelligence, which isn't yet included in the beta, will require a Mac with an M-series chip when it's available. Macs don't have automatic iCloud system backups like iOS devices, so you'll want to back up your Mac with Time Machine before installing.

Referring Expression Segmentation (RES) aims to provide a segmentation mask of the target object in an image referred to by the text (i.e., referring expression). Existing methods require large-scale mask annotations. Moreover, such approaches do not generalize well to unseen/zero-shot scenarios. To address the aforementioned issues, we propose a weakly-supervised bootstrapping architecture for RES with several new algorithmic innovations. To the best of our knowledge, ours is the first approach that considers only a fraction of both mask and box annotations (shown in Figure 1 and Table 1) for training. To enable principled training of models in such low-annotation settings, improve image-text region-level alignment, and further enhance spatial localization of the target object in the image, we propose Cross-modal Fusion with Attention Consistency module. For automatic pseudo-labeling of unlabeled samples, we introduce a novel Mask Validity Filtering routine based on a spatially aware zero-shot proposal scoring approach. Extensive experiments show that with just 30% annotations, our model SafaRi achieves 59.31 and 48.26 mIoUs as compared to 58.93 and 48.19 mIoUs obtained by the fully-supervised SOTA method SeqTR respectively on RefCOCO+@testA and RefCOCO+testB datasets. SafaRi also outperforms SeqTR by 11.7% (on RefCOCO+testA) and 19.6% (on RefCOCO+testB) in a fully-supervised setting and demonstrates strong generalization capabilities in unseen/zero-shot tasks.