Amazon Echo, Google Home Hack: Devices At Risk For Blueborne Attack

International Business Times

A number of serious security flaws discovered to affect Bluetooth devices earlier this year are now plaguing artificial intelligence-based, voice-activated speakers including Google Home and Amazon Echo. Security firm Armis--the same group that first disclosed the Bluetooth vulnerabilities, dubbed Blueborne, in September--has issued new warning that as many as 15 million Amazon Echo devices and five million Google Home speakers are currently at risk. According to researchers, the Amazon Echo is susceptible to two primary vulnerabilities related to Blueborne. The first is a remote code execution vulnerability that would allow an attacker to run arbitrary code on the device that could force it to perform malicious actions without the device owner's knowledge. In a demonstration video posted on YouTube Armis researchers, they show the attack in action.

[D] Does it possible to cluster restaurant dishes? • r/MachineLearning


I have data about restaurants, their dishes and customer's orders. Then I want to cluster dishes in restaurant's menu by customer order. So clusters will be dishes in order and criteria of similarity will be price, ingredients and location of restaurant where dish is served. For example if there is a Americano coffee in the order so result will be all coffees of all restaurants no farther then 100 metres from user(for example), and no more expensive than ordered coffee. Seems like recommendation system, yes.

This Is What Facebook and Intel Are Collaborating On


Intel is ready to ship its long awaited computer chip used to power artificial intelligence projects by the end of the year. Intel CEO Brian Krzanich explained the chip-maker's foray into the red-hot field of artificial intelligence Tuesday and said that Facebook (fb) has assisted the company in prelude to its new chip's debut. "We are thrilled to have Facebook in close collaboration sharing its technical insights as we bring this new generation of AI hardware to market," Krzanich wrote. An Intel spokesperson wrote to Fortune in an email that while the two companies are collaborating, they do not have a formal partnership. The genesis of the Intel Nervana Neural Network Processor comes from Intel's acquisition of the chip startup Nervana Systems in 2016.

Tesla broadens its horizons with plan to electrify big trucks

The Japan Times

DETROIT – After more than a decade of making cars and SUVs -- and, more recently, solar panels -- Tesla Inc. wants to electrify a new type of vehicle: big trucks. The company unveiled its new electric semitractor-trailer Thursday night near its design center in Hawthorne, California. CEO Elon Musk said the semi is capable of traveling 500 miles (804 km) on an electric charge -- even with a full 80,000-pound (36,287-kg) load -- and will cost less than a diesel semitrailer considering fuel savings, lower maintenance and other factors. Musk said customers can put down a $5,000 deposit for the semitrailer now and production will begin in 2019. "We're confident that this is a product that's better in every way from a feature standpoint," Musk told a crowd of Tesla fans gathered for the unveiling.

Google's chatbot analytics platform Chatbase launches to public


At Google I/O this year, Google quietly introduced a new chatbot analytics platform called Chatbase, a project developed within the company's internal R&D incubator, Area 120. Today, that platform is being publicly launched to all, after testing with hundreds of early adopters including Ticketmaster, HBO, Keller Williams, Viber, and others. The idea behind Chatbase's cloud service is to offer tools to more easily analyze and optimize chatbots. This includes giving bot builders the ability to understand what works to increase customer conversions, improve the bot's accuracy, and create a better user experience. This data is available through an analytics dashboard, where developers can track specific metrics like active users, sessions, and user retention.

Data Science of Digital Payments


– Any one working within industries like the mobility, fintech, mobile money, payments, banking or InsureTech with little knowledge of data science is actually sitting on gold mine to explore and show what Data Science / AI can do for that company. Today every company on this planet collect vast quantities of data on a daily basis or even per second. For example credit card issuers with every credit card swipe and completed transaction capture critical customer information, In case of mobile payments/money the same thing happen or even in banks same scenarios. However, the raw data alone does not generate the insights needed to drive business decisions or simply not good enough at all. It's the proper analysis of this data that unlocks its true value.

From Basic to Autonomous Robots- The Intelligent Automation Robot Types


Robotic Process Automation (RPA) and Intelligent Automation (IA) Robots can be categorized into different types based on the level of activities they perform, the number of interactions they have, the core characteristics they exhibit, and the underlying technologies that goes into them. This article describes four distinct software robot types starting from a low maturity level as Basic Robots to ending with a high maturity state as fully Autonomous Robots, and in between Smart Robots and Collaborative Robots categories that step by step enhances the maturity of IA robots. The article takes a deep dive into each of these four types discussing how the role of robots in business process automation grows with each level providing the digital capacity to reduce the repetitive, dull, laborious tasks carried out by human workers in day to day business operations. Basic Robots perform simple rule based tasks on business applications. Basic robots are capable of handling structured data and some semi-structured data such as XML or Json.

Transparent design could teach people to trust AI


We are living in a world of data overload. From behavioral analytics to customer preferences, businesses now have so much data at their fingertips that they're unable to process and consume all of it in a meaningful way. This is where the magic of machine learning comes in. When applied to massive internal company datasets, machine learning technology can derive important insights and provide actionable recommendations and predictions at superhuman scale. But as automation, machine learning, and artificial intelligence technologies continue to show up in our daily experiences, more and more users are asking questions.

Chatbots in Banking


The Co-arthers of this post are Yue Cathy Chang an SVDS alumi, and Cindi Thompson,Principal Data Scientist at Silicon Valley Data Science. There article was originally posted on the Silicon Valley Data Science blog. From asking Amazon Alexa for traffic conditions, to receiving helpful tips from Slackbot, to using WeChat to book doctor's appointments, bots are becoming omnipresent in our lives. The bot market is hot! There's a plethora of companies and investments in bots: VentureBeat's 2016 Bots Landscape shows just under 200 companies ranging from personal assistants to AI tools to messaging, $22B in funding, and a very hefty $159B in valuation.

Walmart's online sales were up 50 percent in Q3


Walmart delivered another blockbuster quarter fueled by strong online sales growth and an uptick in its food business. The Arkansas-based company said e-commerce sales surged 50 percent in the fiscal third quarter, while same-store sales were up 2.7 percent. The world's largest retailer has been pursuing a digitally focused growth strategy for the last year, which includes an aggressive push into online grocery and increased capital spending on digital supply chain capabilities and in-store technology. Walmart chief executive Doug McMillon noted that a series of strategic initiatives paid off last quarter, including expanded online grocery pickup, and the launch of mobile express returns. McMillon also highlighted the company's use of aisle-roaming robots to improve out-of-stock issues and price discrepancies in its stores.