Telecommunications


Google set to release new Pixel 2 and Pixel 2 XL smartphones, insiders say

The Guardian

Google is set to release two new smartphones, the Pixel 2 and Pixel 2 XL, as well as a smaller Google Home Mini smart speaker on 4 October, the Guardian has learned. It will come in blue, black or white and have a metal and glass back, similar to last year's Pixel. Alongside the Pixel 2 and Pixel 2 XL, Google will also unveil a smaller Google Home smart speaker. Similar to the differences between Amazon's full-sized Echo and the Echo Dot, the Google Home Mini will not have the same speaker quality as the larger Google Home, but will perform most of the same functions through Google Assistant.


Treat drones as 'flying mobile phones': Telstra CTO

ZDNet

Telstra CTO Håkan Eriksson has come up with a resolution to all concerns raised over the regulation and control of drones: To treat them as flying mobile phones, and to allow Telstra to provide the necessary connectivity in a "drone-control-as-a-service" offering. Concerns about drones getting in the way of aircraft would also be addressed via the use of mobile networks, Eriksson told ZDNet, because coverage only extends to around 150m above ground level. While drones could run off existing 4G and future 5G mobile spectrum, Eriksson told ZDNet it would also be possible to allocate special spectrum where drones need priority in certain cases, or to ensure the network doesn't get overloaded. Eriksson said Telstra is also currently working on three augmented reality (AR) and virtual reality (VR) projects: Project Halo, which uses AR to show maintenance staff, for example, a red line to where exactly a faulty rack is located within a datacentre; Project Pokemon, which uses AR to show customers how to install their new Telstra TV or router at home; and Project Smart Miner, which uses VR headsets to provide a safer training environment for mining without needing to send novices underground.


Texting at the wheel detected by autonomous machine-learning system

#artificialintelligence

Researchers at the University of Waterloo have created an autonomous system capable of detecting actions which could suggest driver distractedness. According to Professor Fakhri Karray, director of the Centre for Pattern Analysis and Machine Intelligence at the University of Waterloo, this information could come in useful by warning or alerting drivers when they are dangerously distracted, improving road safety. The addition of autonomous features to cars in the future could, he suggests, allow for protective measures to be triggered when the software detects signs of dangerous distraction. The Centre for Pattern Analysis and Machine Intelligence has dedicated previous research efforts to the automatic detection of other signs of danger on the road.


New AI-based system can detect when people text and drive

#artificialintelligence

Researchers have come up with a new software that can better detect and alert drivers when they are texting while driving. The new artificial intelligence (AI) system uses cameras to detect hand movements to detect activities that distract drivers when driving. As advanced self-driving features are increasingly added to conventional cars, signs of serious driver distraction could be employed to trigger protective measures, he said. The system uses cameras to detect hand movements that deviate from normal driving behaviour and grades or classifies them in terms of possible safety threats.


Telecom Companies Turn To Drones For Help After Hurricanes

NPR

A drone is flown during a property inspection following Hurricane Harvey in Houston. The mass destruction brought on by Harvey has been a seminal moment for drone operators, proving that they can effectively map flooding, locate people in need of rescue and verify damage to speed insurance claims. The mass destruction brought on by Harvey has been a seminal moment for drone operators, proving that they can effectively map flooding, locate people in need of rescue and verify damage to speed insurance claims. According to Kate Harris, a spokesperson for Verizon, the company began using drones last October during Hurricane Matthew to inspect cell towers in North Carolina.


Qualcomm buys Dutch research outfit to bolster artificial intelligence expertise

#artificialintelligence

As part of the Scyfer acquisition announcement, Qualcomm laid out its research focus for artificial intelligence and machine learning, which is expected to play a larger role in upcoming generations of gadgets. Qualcomm already delivers artificial intelligence features on its latest smartphone chips, including technologies that help smartphone cameras recognize objects and detect surroundings to aid in better photo composition. Prototypes for President Donald Trump's border wall may be completed by Halloween. Here are three things Snap must show in its next earnings report to satisfy investors:(August 11, 2017) (Sign up for our free video newsletter here http://bit.ly/2n6VKPR) Here are three things Snap must show in its next earnings report to satisfy investors:(August 11, 2017) (Sign up for our free video newsletter here http://bit.ly/2n6VKPR) Miko Branch was deep asleep when her sister Titi woke her up to celebrate.


A sentimental AI can analyse your misunderstood text messages.

#artificialintelligence

Let's see how to build a Telegram Bot which checks the emotions in your text with a quantitative approach through sentiment analysis. As already said, the weapon of choice is a Telegram Bot for the APIs ease of use, but any other programmable messenger system will work. A lot of companies offer a good text analysis API (IBM Watson, Google, Api.ai), but this time I decided to use Indico for the ease of use, the nice dashboard and mostly for the node module we can easily integrate in our webtask. We have a running bot, a running webtask which is not getting any message so far () and our AI ready to analyse our emotions and sentiments ().


A sentimental AI can analyse your misunderstood text messages.

#artificialintelligence

Let's see how to build a Telegram Bot which checks the emotions in your text with a quantitative approach through sentiment analysis. As already said, the weapon of choice is a Telegram Bot for the APIs ease of use, but any other programmable messenger system will work. A lot of companies offer a good text analysis API (IBM Watson, Google, Api.ai), but this time I decided to use Indico for the ease of use, the nice dashboard and mostly for the node module we can easily integrate in our webtask. After the Bot is up and running we need to create the service to handle the messages in a webtask and webtask.io We have a running bot, a running webtask which is not getting any message so far () and our AI ready to analyse our emotions and sentiments ().


smartphones-someday-assess-brain-injuries

Engadget

The team has developed an app called PupilScreen that uses video and a smartphone's camera flash to record and calculate how the pupils respond to light. Assessing head trauma due to, for example, sports injuries or a car crash is typically done with either a pupilometer -- rarely found outside of hospitals -- or a mix of subjective evaluations like balancing, repeating a list of words or visually examining a pupil's response with a flashlight. To create PupilScreen and provide an objective assessment of potential head trauma, the researchers used deep learning tools to train a neural network how to find the pupil of the eye and track how it responds to a flash of light over the course of three seconds. A smartphone camera records the three second video and the light is provided by the camera's flash.


Anomaly Detection in Telecommunications Using Complex Streaming Data Whiteboard Walkthrough

@machinelearnbot

In this week's Whiteboard Walkthrough Ted Dunning, Chief Application Architect at MapR, explains in detail how to use streaming IoT sensor data from handsets and devices as well as cell tower data to detect strange anomalies. All of the data that the tower is capturing from these call detail reports about what we're interested in, which today is signal strength. We will get tower, location, and signal strength reports from all of these different things. Using the neighboring information and the recent historical information, I can get an expectation of what should be happening within that cell.