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Signal or noise? > Belkin Stage PowerGrip: PowerBank Gives Extra Grip For
iPhone Photographers >> Comment below! #mhealth #industry40 #healthtech #IoT #AI
Belkin Stage PowerGrip: PowerBank Gives Extra Grip For iPhone Photographers
Belkin has introduced the Stage PowerGrip, a multifunctional accessory designed primarily for iPhone users. Combining the features of a MagSafe power bank and a camera grip, the device aims to enhance both charging convenience and smartphone photography. With a capacity of 9,300 mAh, the Stage PowerGrip can provide a full charge to any iPhone model and, in some cases, more than one full charge depending on the device’s battery size. When used wirelessly, it supports charging speeds of up to 7.5W. For faster or multi-device charging, Belkin includes a retractable cable and an extra USB-C port, allowing the user to charge three devices simultaneously. However, the total power output remains limited to 15W, meaning power-hungry devices like laptops or tablets may charge more slowly. Beyond its battery function, the Stage PowerGrip doubles as a photography accessory. Thanks to its MagSafe magnetic connection, it attaches securely to the back of compatible iPhones, offering better handling while taking pictures or recording videos. The grip incorporates a dedicated button, giving users more stability and control when capturing images—similar to using a compact digital camera. The accessory connects to the iPhone via Bluetooth, enabling interaction with the physical shutter button for instant photo capture. Additionally, Belkin designed it with mounting versatility in mind: it can be attached to a tripod or function as a stand on flat surfaces, allowing hands-free photo or video recording. This functionality positions it as an appealing choice for content creators and casual photographers looking for an all-in-one gadget that boosts practicality and shooting comfort. Belkin emphasizes that the Stage PowerGrip combines portability, ergonomic design, and charging efficiency in a single product. The use of MagSafe technology ensures effortless magnetic alignment for optimal power transfer, while Bluetooth integration enhances user experience through remote camera control. These features extend its usability beyond photography, offering a helpful solution for video calls, streaming, or everyday device support. In terms of market availability, the Belkin Stage PowerGrip is already listed on the company’s official website in the United States. It is priced at US$79.99, positioning it as a premium accessory that merges both practical and creative functions for iPhone users seeking an innovative portable power solution. Belkin Stage PowerGrip: PowerBank Gives Extra Grip For iPhone Photographers , original content from Ubergizmo. Read our Copyrights and terms of use.
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Signal or noise? > AI, Vol. 6, Pages 270: Reducing Annotation Effort in
Semantic Segmentation Through Conformal Risk Controlled Active
Learning >> Comment below! #industry40 #mhealth #healthtech #IoT #AI
AI, Vol. 6, Pages 270: Reducing Annotation Effort in Semantic Segmentation Through Conformal Risk Controlled Active Learning
Modern semantic segmentation models require extensive pixel-level annotations, creating a significant barrier to practical deployment as labeling a single image can take hours of human effort. Active learning offers a promising way to reduce annotation costs through intelligent sample selection. However, existing methods rely on poorly calibrated confidence estimates, making uncertainty quantification unreliable. We introduce Conformal Risk Controlled Active Learning (CRC-AL), a novel framework that provides statistical guarantees on uncertainty quantification for semantic segmentation, in contrast to heuristic approaches. CRC-AL calibrates class-specific thresholds via conformal risk control, transforming softmax outputs into multi-class prediction sets with formal guarantees. From these sets, our approach derives complementary uncertainty representations: risk maps highlighting uncertain regions and class co-occurrence embeddings capturing semantic confusions. A physics-inspired selection algorithm leverages these representations with a barycenter-based distance metric that balances uncertainty and diversity. Experiments on Cityscapes and PascalVOC2012 show CRC-AL consistently outperforms baseline methods, achieving 95% of fully supervised performance with only 30% of labeled data, making semantic segmentation more practical under limited annotation budgets.
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