Goto

Collaborating Authors

 gaston


Banking by smart speaker arrives, but security issues exist

Washington Post - Technology News

Big banks and financial companies have started to offer banking through virtual assistants -- Amazon's Alexa, Apple's Siri, and Google's Assistant -- in a way that will allow customers to check their balances, pay bills and, in the near future, send money just with their voice. And with the rapid adoption of Zelle, a bank-to-bank transfer system, it soon could be possible to send money to friends or family instantly with voice commands. But the potential to do such sensitive tasks through a smart speaker raises security concerns. Virtual assistants and smart speakers are still relatively new technologies, and potentially susceptible to being exploited by cyber criminals. Regional banking giant U.S. Bank is the first bank to be on all three services -- Alexa, Siri and Assistant.


Ridley Scott and cast unveil unseen footage from 'Alien: Covenant' at SXSW

Los Angeles Times

As the audience filed out of Austin's Paramount Theater following the South by Southwest opening night screening of Terrence Malick's "Song to Song," there was a line around the block waiting to get in for a screening of Ridley Scott's 1979 film "Alien," along with footage from Scott's upcoming "Alien: Covenant." Opening on May 19, the film is the sixth in the series and the third directed by Scott. Scott first took to the stage to introduce the footage from the new film, telling the ecstatic crowd, "My goals haven't changed. My mantra has always been to scare the living … out of you." And with that there were three scenes shown from the new film.


Graph-Based Knowledge Discovery: Compression versus Frequency

AAAI Conferences

There are two primary types of graph-based data miners: frequent subgraph and compression-based miners. With frequent subgraph miners, the most interesting substructure is the largest one (or ones) that meet the minimum support. Whereas, compression-based graph miners discover those subgraphs that maximize the amount of compression that a particular substructure provides a graph. The algorithms associated with these two approaches are not only different, but they also may result in dramatic performance differences, as well as in the normative patterns being discovered. In order to compare these two types of graph-based approaches to knowledge discovery, in the following sections we will compare two publicly available applications: GASTON and SUBDUE.