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 Personal Assistant Systems


Amazon's Echo Show can use Getty Images to answer your questions

Engadget

This week, Getty Images announced a new partnership with Amazon that will allow the online retail giant to use images from Getty's vast image catalog on its Echo devices with a screen. While Alexa was previously able to deliver verbal answers to questions, such as "Who won the Best Actress Oscar this year," now the device will be able to show a picture to accompany the answer. The Echo Show certainly set the standard for smart assistant speakers with displays, but now Google is hot on Amazon's heels. The rumor is that Google will unveil its own Google Assistant-powered smart screen this holiday season. It's understandable, then, that Amazon is feeling the pressure to up its game when it comes to the Echo Show and smaller Echo Spot.


AI: there's a reason it's so bad at conversation

#artificialintelligence

"I'm sorry, I didn't quite get that." Anyone who has ever tried to have a deeper conversation with a virtual assistant like Siri knows how frustrating it can be. That's despite the fact that AI systems like it are increasingly pushing into our lives, with new success stories on an almost daily basis. Not only do AIs now help radiologists detect tumours, they can act as cat repellent and even detect signals of potential alien technology from space. But when it comes to fundamental human abilities, like having a good chat, AI falls short.


JBL Link 300 review: This Google Assistant-powered speaker delivers multi-room sound and smart home skills

PCWorld

That's a conclusion many shoppers will reach when spotting the JBL Link 300, the mid-range of JBL's Google Assistant-powered Link smart speaker lineup. Its $250 price tag makes for a reasonable port of entry for anyone looking to build a voice-activated, multi-room audio and home-control system on a miserly budget. And since this speaker also supports Google's Chromecast audio technology, the Link 300--and any of its bigger or smaller siblings--can be paired with any other speaker that supports Chromecast. Delivering JBL's signature "California studio monitor" sound--a warm, realistically fleshed out soundstage and presence with soul and the stamina to crank--the Link 300 outperformed the vaunted Sonos One in many of my listening tests. Side Effects), to the rich soloing sonorities of Yo-Yo Ma (Six Evolutions--Bach: Cello Suites) and the elegantly spare acoustic jazz sessions (think Sarah Vaughan, Hank Garland, Bobby Timmons, and Melody Gardot) that are stock-in-trade on TSF Jazz--Paris, my favorite compare/contrast streaming channel. The JBL Link 300 has a much larger footprint its rival smart speaker, the Sonos One, but that extra girth results in bigger bass response.


D-Link Full HD Pan & Tilt Wi-Fi Camera review: This one is for smart-home buffs only

PCWorld

D-Link's Full HD Pan & Tilt Wi-Fi Camera (model DCS-8525LH) is the latest addition to the home networking company's growing stable of security cams. As we've come to expect from D-Link, this camera has a strong set of features, but is unfortunately hampered by an often overwhelming app experience. Design-wise, the DCS-8525LH is a clone of the DCS-5030L pan-and-tilt camera we evaluated a couple of years ago. And like that model, this one's bulky body and conspicuous antenna won't blend easily into your home unless your design scheme takes its cues from cold retro-future technology. For the most part, the specs also mirror that earlier pan-and-tilt model--a 114-degree field of view, 16-feet of night vision, 340 degrees of pan and 120 degrees of tilt, motion an audio detection--though the resolution takes a leap forward, maxing out at 1080p. It also adds integration with Google Assistant, Amazon Alexa, and IFTTT.


You'll find Apple's best AI in its camera

#artificialintelligence

When Apple unveiled its new slate of iPhones on Sept. 12, executives gushed over the device's new second-generation "neural processor," a custom chip meant just for AI. But Apple didn't boast about how much the new chip was going to improve Siri--Apple's virtual assistant that got eight seconds of the 2 hour presentation--or boost battery life, as the company often claims its machine learning is used for. The real killer app for AI on the iPhone is photography. The Cupertino-based company has been slowly transitioning its cameras from devices that take a picture, into devices that capture data for AI to make into an image. It's called computational photography, and it isn't unique to Apple--researchers have been thinking about the camera as a way to capture data for AI for years.


In-Session Personalization for Talent Search

arXiv.org Artificial Intelligence

Previous efforts in recommendation of candidates for talent search followed the general pattern of receiving an initial search criteria and generating a set of candidates utilizing a pre-trained model. Traditionally, the generated recommendations are final, that is, the list of potential candidates is not modified unless the user explicitly changes his/her search criteria. In this paper, we are proposing a candidate recommendation model which takes into account the immediate feedback of the user, and updates the candidate recommendations at each step. This setting also allows for very uninformative initial search queries, since we pinpoint the user's intent due to the feedback during the search session. To achieve our goal, we employ an intent clustering method based on topic modeling which separates the candidate space into meaningful, possibly overlapping, subsets (which we call intent clusters) for each position. On top of the candidate segments, we apply a multi-armed bandit approach to choose which intent cluster is more appropriate for the current session. We also present an online learning scheme which updates the intent clusters within the session, due to user feedback, to achieve further personalization. Our offline experiments as well as the results from the online deployment of our solution demonstrate the benefits of our proposed methodology.


Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned

arXiv.org Artificial Intelligence

LinkedIn Talent Solutions business contributes to around 65% of LinkedIn's annual revenue, and provides tools for job providers to reach out to potential candidates and for job seekers to find suitable career opportunities. LinkedIn's job ecosystem has been designed as a platform to connect job providers and job seekers, and to serve as a marketplace for efficient matching between potential candidates and job openings. A key mechanism to help achieve these goals is the LinkedIn Recruiter product, which enables recruiters to search for relevant candidates and obtain candidate recommendations for their job postings. We highlight a few unique information retrieval, system, and modeling challenges associated with talent search and recommendation systems: (1) The underlying query to the talent search system could be quite complex, combining several structured fields (such as canonical title(s), canonical skill(s), company name) and unstructured fields (such as free-text keywords). Depending on the application, the query could either consist of an explicitly entered query text and selected facets (talent search), or be implicit in the form of a job opening, or ideal candidate(s) for a job (talent recommendations).


Alfred: a virtual assistant helping older people stay active

#artificialintelligence

Senior citizens often need support to live independently and actively participate in their communities. The EU-funded Alfred project came up with a Personal Interactive Assistant to help the elderly overcome the obstacles preventing them from carrying out everyday tasks. The project created a virtual'butler' to which people can talk, ask questions or give commands, and developed systems to encourage older people to socialise by suggesting and managing events, to monitor their state of health, and to help them stay physically and mentally active via personalised games. It produced 25 apps, both for immediate use and to inspire developers interested in designing new services that target the needs of senior citizens. The Alfred project brought together expertise and technology from a range of different areas: ubiquitous computing, big data, gaming, the semantic web, cyber physical systems, the internet of things, the internet of services, and human-computer interaction.


How Siri killed the secretary - Times of India

#artificialintelligence

Last year, Bipin Preet Singh let go of his personal assistant. "A traditional secretary is just a messaging medium and not incredibly efficient," says the CEO and founder of MobiKwik. "Plus, there are some things that I wouldn't schedule through a secretary." For people who directly report to him, a secretary represented a layer of bureaucracy. We encourage interaction and informal conversations," Singh adds. Times have never been tougher for the secretary. Competing with virtual assistants, Google calender and mobile apps that can make bookings, take down minutes of meetings, store records and even send reminders to drink water, the secretary has lost some of his/her swag and salary. For an earlier generation of corporate leaders, having a secretary used to be a symbol of status, a measure of their professional success. But new-age managers scoff at the idea of having one. "Communication has evolved so much.


Blockchain-Based AI Voice Assistant Brings Data Privacy To Smart Homes

#artificialintelligence

According to a 2017 University of Washington report, there are hundreds of millions of smart-home devices in more than 40 million U.S. homes. This number is expected to double by 2021. Amazon Echo, Google Home and other devices that have Alexa and Google Assistant built in, have proven to be some of the world's most promising new technologies. These AI-enabled assistants seem capable of doing everything, from turning on lights to answering simple and even complex questions. "OK Google" and "Alexa" have become common household phrases, as these smart connected speakers always have their microphones on, yet don't respond until their "wake words" are mentioned.