You can currently use the Photos app across Apple's operating systems to adjust things like saturation and contrast, apply filters, crop photos or use AI to remove objects with the Clean Up tool . Clean Up will apparently be one of several Apple Intelligence Tools after these new updates roll out, writes. Along with Clean Up, users will be able to use Extend to expand the background of the photo with generative AI, Enhance to automatically improve things like lighting and image quality and Reframe to shift the perspective of a photo after it's taken, primarily for Apple's spatial photos. The new features, if released, will bring Apple's photo-editing tools more in line with competitors like Google and Samsung, though both companies still lap Apple in their willingness to create entirely generated images. Google's Magic Editor feature, which debuted in 2023, still takes the cake in terms of giving users leeway to radically add to and change their photos.

The app reads your email inbox and your meeting calendar, then gives you a short audio summary. It can help you spend less time scrolling, but of course, there are privacy drawbacks to consider.

Learning with streaming data has attracted much attention during the past few years.Though most studies consider data stream with fixed features, in real practice the features may be evolvable. For example, features of data gathered by limited lifespan sensors will change when these sensors are substituted by new ones. In this paper, we propose a novel learning paradigm: Feature Evolvable Streaming Learning where old features would vanish and new features would occur. Rather than relying on only the current features, we attempt to recover the vanished features and exploit it to improve performance. Specifically, we learn two models from the recovered features and the current features, respectively. To benefit from the recovered features, we develop two ensemble methods. In the first method, we combine the predictions from two models and theoretically show that with the assistance of old features, the performance on new features can be improved. In the second approach, we dynamically select the best single prediction and establish a better performance guarantee when the best model switches.

Claude can now generate visuals when producing a response. With Claude enjoying a moment of newfound popularity among regular people, Anthropic is previewing an update designed to make its chatbot better at explaining some concepts. Starting today, Claude can generate charts and diagrams as part of its responses, either when asked directly or when it decides visuals might be helpful to the user. For example, try asking Claude what's the best way to fold a paper plane. Where previously it was limited to text, now it can show you step by step how to fold a Nakamura lock plane .

Google's Gemini chatbot is now also available through the app. In recent weeks, Google has been busy adding AI features to all of its most popular apps. Following Gmail and Chrome, Maps is now the latest service t o get a Gemini makeover, with a redesign of the driving experience headlining the update. Google is billing the new Immersive Navigation mode as the most significant update to driving directions in Maps in about a decade. Now instead of displaying a 2D map of the area around your car, Maps will render the surroundings in 3D.

The discovery of dynamical systems models plays a fundamental role across various domains, including pharmacology, epidemiology, and physical systems.

The prediction concatenation (PreConc) operation is crucial for the multi-layer feature transformation in deep forest, though little has been known about its theoretical property.

We introduced an adaptive feature bank update scheme to dynamically absorb new features and discard obsolete features.