Communications


Artificial Intelligence, Buzzwords And Competitive Value

#artificialintelligence

The announcement by one of the most interesting players, ranked third by market share, Huawei, that announced it will be using a new artificial intelligence chip (or, more properly, System-On-a-Chip, or SoC) just a few days before Apple launched full screen in its event its A11 Bionic microprocessor was no coincidence, nor was Google's acquisition of the assets and staff of HTC: a $1.1 billion operation that will allow it to incorporate artificial intelligence into smartphones, turn it into a differential and extract money from it. The Bionic in Apple's A11 is just a commercially attractive name to something as boring as a chip, but indicates something very important: the development of more powerful chips and some specialized functions to power perform certain tasks related to machine learning. Basically, being able to provide the right processing capability to, for example, process a dot matrix in real time to identify a face, or manage a better voice assistant. Beyond that, there is not much more to say: it has never been easier to access competitive and powerful chips for practical artificial intelligence applications in handheld terminals.


iPhone X has face recognition but this heart-scan authentication goes one better

ZDNet

The Cardiac Scan authentication system uses a Doppler radar to analyze the cardiac motion that's unique to each individual. On a PC, rather than logging in with a password or pressing a finger to a reader, the system passively and continuously scans a user's heart and logs the individual out when he or she leaves the desk. The Cardiac Scan authentication system, developed by researchers at the University at Buffalo, SUNY, and Texas Tech University, uses a Doppler radar to analyze a user's "cardiac motion", which is unique to each individual and measures the dimensions of the heart in its contracted and relaxed states. As the researchers note, cardiac motion is harder to spoof than fingerprint or iris identifiers because it's only present in a person who is alive.


Google Assistant can order around LG's connected appliances

Engadget

LG has placed its trust on Google Assistant and has given it the power to control its smart appliances. Now, you can control any of the company's 87 WiFi-connected smart home appliances by barking out orders through a Google Home speaker or through a compatible iOS or Android smartphone. Once you're done setting voice control up through LG's SmartThinQ app, you can use commands within a Home speaker's range or through a phone to tell your fridge to make more ice or to tell your AC to adjust the temperature. To entice new customers to put the feature to good use, LG is giving away a free Google Home device with a WiFi-enabled LG appliance.


Amazon finally adds Alexa support to its Music app

Engadget

If Alexa can make it a cinch to find songs on Amazon's screen-less Echo speakers, then it can also work its magic on the retail giant's Music app. The tech titan has finally integrated its famous voice assistant into the Amazon Music app for iOS and Android, perhaps as a way to entice more people to sign up. What's great about finding songs with the assistant's help is that you don't have to browse the app for a title or an artist, which you might not always know. The voice assistant is now live for both iOS and Android -- just update your app to get access to Alexa on your phone.


Is iOS 11 draining YOUR battery?

Daily Mail

Wandera, a London-based mobile security company, found iPhones using iOS 11 took 96 minutes to empty their battery from 100 per cent charge. Wandera, a London-based mobile security company, found iPhones using iOS 11 took 96 minutes to empty their battery from 100 per cent charge. The update includes highly anticipated features for Apple devices including a more expressive voice for Siri, augmented reality apps, map updates, new emoji and shared Wi-fi. 'Use the powerful Browse view to navigate folders, organise your files with pages, move files between folders, and search.'


I asked Tinder for my data. It sent me 800 pages of my deepest, darkest secrets

The Guardian

It knows how often you connect and at which times; the percentage of white men, black men, Asian men you have matched; which kinds of people are interested in you; which words you use the most; how much time people spend on your picture before swiping you, and so on. Tinder's privacy policy clearly states your data may be used to deliver "targeted advertising". As a few minutes with a perfectly clear tutorial on GitHub called Tinder Scraper that can "collect information on users in order to draw insights that may serve the public" shows, Tinder is only being honest. A few months earlier, 70,000 profiles from OkCupid (owned by Tinder's parent company Match Group) were made public by a Danish researcher some commentators have labelled a "white supremacist", who used the data to try to establish a link between intelligence and religious beliefs.


Machine learning in smartphones

#artificialintelligence

This technology will make your device more energy efficient, enable and improve virtual and augmented reality experiences, provide for smarter camera functionalities, improve device security, and of course, allow for better audio connections. Mobile processors like Qualcomm's Snapdragon 835 leverage machine learning in an effort to extend and expand the boundaries of mobile performance. Yes, artificial intelligence and machine learning can aid and improve all sorts of functions and processes in minutes and specific ways, but as it concerns you, the user, your phone will simply do everything that you need it to – but faster, better, and with greater efficiency. Many devices already feature some form of machine learning (those with the Snapdragon 835 mobile processor, for example, like ODG's R-8 and R-9 smart glasses).


Machine learning in smartphones

#artificialintelligence

This technology will make your device more energy efficient, enable and improve virtual and augmented reality experiences, provide for smarter camera functionalities, improve device security, and of course, allow for better audio connections. Mobile processors like Qualcomm's Snapdragon 835 leverage machine learning in an effort to extend and expand the boundaries of mobile performance. Yes, artificial intelligence and machine learning can aid and improve all sorts of functions and processes in minutes and specific ways, but as it concerns you, the user, your phone will simply do everything that you need it to – but faster, better, and with greater efficiency. Many devices already feature some form of machine learning (those with the Snapdragon 835 mobile processor, for example, like ODG's R-8 and R-9 smart glasses).


Samsung To Commercialize AI Chips For S8, Note 8 After Bixby Launch

International Business Times

"(Samsung) is in the middle of developing several types of chips that will be capable of processing massive data from AI applications on devices, eliminating the need to communicate with cloud surveys," a source from Samsung's partners said. At present, AI devices store data produced from voice recognition and machine learning operations in the cloud as a database. Chinese manufacturer Huawei has already been given that credit when it announced that its Mate 10 flagship phone will be debuting next month along with the tech industry's first AI phone chip, called the Kirin 970. This new information on Samsung's plans surfaced following the launch of the South Korean tech giant's new flagship smartphones, Galaxy S8 and Galaxy Note 8.


Build your 1st Deep Learning Rig – Prolego blog

@machinelearnbot

In part 2 I explained why you need an AI Sandbox. In this post I'll explain how to build your deep learning rig, the hardware portion of your AI Sandbox. Buying, hosting, installing, and configuring hardware was just part of the job. The last time I bought and configured a linux server?