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Natural Language Processing With spaCy in Python – Real Python

#artificialintelligence

Rule-based matching is one of the steps in extracting information from unstructured text. It's used to identify and extract tokens and phrases according to patterns (such as lowercase) and grammatical features (such as part of speech). Rule-based matching can use regular expressions to extract entities (such as phone numbers) from an unstructured text. It's different from extracting text using regular expressions only in the sense that regular expressions don't consider the lexical and grammatical attributes of the text. In this example, pattern is a list of objects that defines the combination of tokens to be matched. Both POS tags in it are PROPN (proper noun).


How to make phone calls with Alexa and Google speakers

USATODAY - Tech Top Stories

Beyond asking for the latest temperature, calendar appointments and recipes, Amazon Echo and Google Nest Hub devices can be used for phone calls. Amazon announced on Wednesday a new alliance with wireless carrier AT&T to enable AT&T customers (on "eligible rate plans") to link their mobile numbers and turn their speaker into a two-way phone. This will enable them to make calls and answer their phone from contacts at home by saying "Alexa answer" without having to search for the phone, or answer on a dead battery. You can also have a choice of where you want to answer, via the phone, on your device, or Echo speaker. The alliance is exclusive with AT&T.


AT&T customers can use Alexa devices to make phone calls

Engadget

Beginning today, AT&T customers can link their phone numbers to Alexa devices. Once they're connected, customers will be able to make and answer calls through Alexa as they would on their phone. As The Verge notes, Echo devices have been able to call mobile numbers and landlines for free since 2017, but this integration with AT&T goes a little deeper, essentially turning your Alexa device into an extension of your phone. Amazon already rolled this feature out abroad. In the UK and Germany, Vodafone OneNumber customers can link their mobile accounts, and EE customers in the UK can do the same.


In one click: Amazon Alexa could be exploited for theft of voice history, PII, skill tampering

ZDNet

Amazon's Alexa voice assistant could be exploited to hand over user data due to security vulnerabilities in the service's subdomains. The smart assistant, which is found in devices such as the Amazon Echo and Echo Dot -- with over 200 million shipments worldwide -- was vulnerable to attackers seeking user personally identifiable information (PII) and voice recordings. Check Point Research said on Thursday that the security issues were caused by Amazon Alexa subdomains susceptible to Cross-Origin Resource Sharing (CORS) misconfiguration and cross-site scripting (XSS) attacks. When Check Point first began examining the Alexa mobile app, the company noticed the existence of an SSL mechanism that prevents traffic inspection. However, the script used could be bypassed using the Frida SSL universal unpinning script.


Black Hat: Hackers can remotely hijack enterprise, healthcare Temi robots

ZDNet

Robots used in hospitals and care homes to assist patients and the vulnerable can be fully hijacked by cyberattackers. On Thursday at Black Hat USA, McAfee's Advanced Threat Research (ATR) team disclosed new research into the robots, in which remotely-exploitable vulnerabilities were uncovered, potentially leading to mobile, audio, and video tampering on the hospital floor. The robot in question is Robotemi Global's Temi, a "personal robot" that uses a range of sensors, artificial intelligence (AI) and machine learning (ML) technologies, as well as modern voice activation and mobile connectivity to perform functions including personal assistance tasks, answering Internet queries, and facilitating remote video calls. Available for both personal and business use, Temi has found itself put to work in the enterprise, as well as in senior living and healthcare facilities. All it takes to set up is for a mobile device to scan the robot's QR code, in order to become Temi's administrator.


A Newbie's Guide to the Semantic Web

#artificialintelligence

When I started learning about the semantic web, it was quite foreign territory and the practitioners all seemed to be talking over my head, so when I began to figure it out, I thought it would be valuable to write an introduction for those interested but a little put off. Well it's a whole bunch of things stitched together with many tools and different technologies and standards. Let's start with the problem that the semantic web is trying to solve. Microsoft explained it very well with its Bing commercials on search overload. Not that Bing solves it, but at least Microsoft is good at explaining the problem.


Quantum computing: When to expect the next major leap

#artificialintelligence

Dan Patterson, a Senior Producer for CBS News and CNET, interviewed futurist Isaac Arthur about what's next for quantum computing. The following is an edited transcript of the interview. Isaac Arthur: It's always hard to guess with computers, and we're a little bit spoiled by Moore's Law from the fifties and sixties just taking us from these really simple devices to what we have nowadays. We do not want to make the same mistake we made with, for instance, nuclear fission and fusion where we got the development in 20 years and just assume the next one will get to us in another 20. Quantum computing might be many decades before we see any real major progress, but at the moment, we have made quite a few major leaps and actually are doing some real calculations with this.


How to video chat using Amazon Alexa or Google Assistant

USATODAY - Tech Top Stories

In an effort to curtail the spread of COVID-19, many Americans are working from home as health global experts continue to encourage social distancing. While you've probably got plenty of board games, TV shows, and other entertainment to keep you company, they can't replace facetime with friends and family. Smart assistants like Amazon Alexa and Google Assistant can help! Here's how to quickly and easily video chat with your loved ones using Alexa and Google Assistant. Amazon has several Echo smart displays that can be used for video calls, like the Echo Show 5 (pictured).


Adventures With Artificial Intelligence and Machine Learning

#artificialintelligence

Since October of last year I have had the opportunity to work with an startup working on automated machine learning and I thought that I would share some thoughts on the experience and the details of what one might want to consider around the start of a journey with a "data scientist in a box". I'll start by saying that machine learning and'artificial intelligence has almost forced itself into my work several times in the past eighteen months, all in slightly different ways. The first brush was back in June 2018 when one of the developers I was working with wanted to demonstrate to me a scoring model for loan applications based on the analysis of some other transactional data that indicated loans that had been previously granted. The model had no explanation and no details other than the fact that it allowed you to stitch together a transactional dataset which it assessed using a naïve Bayes algorithm. We had a run at showing this to a wider audience but the palate for examination seemed low and I suspect that in the end the real reason was we didn't have real data and only had a conceptual problem to be solved.


Adventures With Artificial Intelligence and Machine Learning

#artificialintelligence

Since October of last year I have had the opportunity to work with an startup working on automated machine learning and I thought that I would share some thoughts on the experience and the details of what one might want to consider around the start of a journey with a "data scientist in a box". I'll start by saying that machine learning and'artificial intelligence has almost forced itself into my work several times in the past eighteen months, all in slightly different ways. The first brush was back in June 2018 when one of the developers I was working with wanted to demonstrate to me a scoring model for loan applications based on the analysis of some other transactional data that indicated loans that had been previously granted. The model had no explanation and no details other than the fact that it allowed you to stitch together a transactional dataset which it assessed using a naïve Bayes algorithm. We had a run at showing this to a wider audience but the palate for examination seemed low and I suspect that in the end the real reason was we didn't have real data and only had a conceptual problem to be solved.