After a Philips Hue app update leaked a new Hue video doorbell in March, parent company Signify is making it official this week. The $169 Hue Secure video doorbell is arriving in October to complement Hue’s other Secure indoor and outdoor camera offerings. The Hue Secure video doorbell looks much like any other smart doorbell […]
Smart lighting company Philips Hue debuted a bunch of new products this week at the IFA tech show in Berlin, Germany, and most of them are available now. The launch, which is the biggest in the company’s history, includes cheaper smart lights, a new bridge for its Zigbee ecosystem, a redesigned line of light strips, […]
Aukey has announced a new modular charging solution called the MagFusion Ark. It combines a base station featuring up to three Qi2.2 charging pads with spherical power banks that each have their own Qi2.2-compatible pads. The spheres support passthrough charging and can wirelessly charge another device while they’re on the base station, but they can […]
Save on top services at LegalZoom, like LLC registration, incorporation, estate plans, and more with coupons and deals from WIRED.
Save on streaming with the latest Paramount+ promo codes and deals, including 50% off subscriptions, free trials, and more.
From an AI-driven robot vacuum to self-emptying stations for its next-gen stick vacuums, Dyson’s lineup will never be the same. You’ll have to wait until 2026 to get your hands on most of it, though.
arXiv:2509.02598v1 Announce Type: cross Abstract: We present a novel approach which extends the existing Fully Convolutional One-Stage Object Detector (FCOS) for mitotic figure detection. Our composite model adds a Feedback Attention Ladder CNN (FAL-CNN) model for classification of normal versus abnormal mitotic figures, feeding into a fusion network that is trained to generate adjustments to bounding boxes predicted by FCOS. Our network aims to reduce the false positive rate of the FCOS object detector, to improve the accuracy of object detection and enhance the generalisability of the network. Our model achieved an F1 score of 0.655 for mitosis detection on the preliminary evaluation dataset.
