Accurate smartphone localization (< 1-meter error) for indoor navigation using only RSSI received from a set of BLE beacons remains a challenging problem, due to the inherent noise of RSSI measurements. To overcome the large variance in RSSI measurements, we propose a data-driven approach that uses a deep recurrent network, DeepBLE, to localize the smartphone using RSSI measured from multiple beacons in an environment. In particular, we focus on the ability of our approach to generalize across many smartphone brands (e.g., Apple, Samsung) and models (e.g., iPhone 8, S10). Towards this end, we collect a large-scale dataset of 15 hours of smartphone data, which consists of over 50,000 BLE beacon RSSI measurements collected from 47 beacons in a single building using 15 different popular smartphone models, along with precise 2D location annotations. Our experiments show that there is a very high variability of RSSI measurements across smartphone models (especially across brand), making it very difficult to apply supervised learning using only a subset of smartphone models. To address this challenge, we propose a novel statistic similarity loss (SSL) which enables our model to generalize to unseen phones using a semi-supervised learning approach. For known phones, the iPhone XR achieves the best mean distance error of 0.84 meters. For unknown phones, the Huawei Mate20 Pro shows the greatest improvement, cutting error by over 38\% from 2.62 meters to 1.63 meters error using our semi-supervised adaptation method.

A 3D-printed head can trick your smartphone's facial recognition technology into unlocking your phone. Experts showed that Android's models were the least secure, with some devices opening by simply showing a photograph of the owner. It was found that Apple, who got rid of its finger print reading ID in favour of facial recognition last year, was the most secure when tested. The findings bring up concerns over offering hackers and police an entry route into your personal information stored on your handset. A test conducted by Forbes magazine showed that Android's models were the least secure, with some devices opening by simply showing it a photograph of the owner.

At Google's official launch in San Francisco at 9:00 PST (17:00 BST), the firm is expected to launch a personal-assistant for the home, alongside the new Pixel phone. The device, called'Home', is an internet-connected device, similar to Amazon's Echo speaker and was first unveiled in May. While Google has declined to confirm any specifics, analysts and industry blogs have suggested that a new virtual reality headset and a home router could also be unveiled. The device, called'Home', is an internet-connected speaker, similar to Amazon's Echo, and was first unveiled in May It is clear that Google is working on virtual reality and augmented reality, but whether a standalone high-end device will be released, remains unclear. Earlier this year, the Mountain View-based firm announced its plans for Daydream, which will be a more advanced version of Cardboard.