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How is Artificial Intelligence Reinventing The Mobile Healthcare Ecosystem?

#artificialintelligence

The mobile health applications have taken the driver seat in the healthcare landscape that's making everything possible at the flick of the button effortlessly. Now, the AI technology integration is making the mHealth solutions- The Hospital of The Future. Yes, it's not a tale of a distant future where patients don't need to physically step inside the hospital to get the doctor consultation, while the virtual assistants on the mobile app book the appointment with the doctor on your behalf, design treatment plans for you after diagnosing the health, make advice for the speedy recovery along with a list of to Do's and Don'ts, even identify the errors in the medical test reports and so on. It sounds like a fiction, but in reality, it's not. Artificial intelligence is making the world so small that it can be encompassed in the palm of your hands.


That fancy Cortana thermostat now supports Alexa and Google Assistant

Engadget

If you've been eying Johnson Controls' slick, Microsoft-backed GLAS thermostat ever since it was unveiled in 2017, it's finally close at hand -- and you won't have to rely on Cortana for voice control, either. The $319 climate controller will ship on August 24th with support both Amazon's Alexa and Google Assistant, helping it slip more gracefully into more smart home setups. This probably won't wound Microsoft's pride too much. It's aware that Cortana has just a small slice of the voice assistant market, and it's already getting cozy with Alexa on its own platforms. Apart from voice control, the star of the show is undoubtedly the thermostat's translucent OLED touchscreen.


Match Group, IAC Face Suit Over Tinder Valuation

WSJ.com: WSJD - Technology

Three of Tinder's founders and a handful of current executives say the popular dating app's parent companies cheated them out of as much as $2 billion by manipulating financial information to undermine its valuation, according to a lawsuit filed Tuesday. The co-founders and executives claim that Match Group Inc. MTCH -0.21% and IAC/InterActiveCorp . IAC 0.18% hid projections of Tinder's rapid growth in order to reduce payments to the holders of stock options, which were based on the company's valuation. The suit, filed by 10 plaintiffs in New York Supreme Court, also says that Greg Blatt, a longtime executive of IAC who served as interim chief executive of Tinder, groped and sexually harassed Tinder's vice president of marketing and communications, Rosette Pambakian, during the Los Angeles-based company's 2016 holiday party. Mr. Blatt didn't immediately respond to a request for comment.


The Emergence of AI Driving Revenue-related KPIs - ReadWrite

#artificialintelligence

Some form of Artificial Intelligence (AI) project can now be found in most companies, with the remainder seeming to at least have several projects in a planning stage. If Marc Andreessen's now famous "software will eat the world" Wall Street Journal essay was on its way to being true when he wrote it seven years ago, the "eats the world" statement is equally true today regarding AI. AI, or at least something claiming to be AI, can be seen throughout the consumer and business landscape. Are the recommendation engines that power Amazon and Netflix suggestions AI? In Netflix's case, they made a move a few years ago to have their "you might like" recommendation based on analysis of content you've liked, instead of only on what you've watched.


Microsoft and Amazon made their voice assistants into friends. Here's how that relationship works.

Washington Post - Technology News

Amazon.com and Microsoft have officially set up the friendship between their two voice assistants, Alexa and Cortana, a year after announcing the partnership to expand the reach and abilities of the competing assistants. But how does this relationship of rivals work? To talk to one assistant through the other, customers have to say either "Cortana, open Alexa" or "Alexa, open Cortana." From there, people can talk to the other assistant as usual. What they don't get is access to each others' data, according to statements from both companies Wednesday. Data collected from each assistant will be controlled by their respective companies -- and covered by their corresponding privacy policies.


People with regional accents are changing the way they talk so Alexa and Siri can understand

Daily Mail - Science & tech

Britons with regional accents are having to change the way they talk so they can use voice recognition devices such as Alexa. A study found those fed up with repeating requests to devices โ€“ including Google Home, Amazon's Alexa, and Siri on the iPhone โ€“ have to use a more'standard' form of English instead. Some 79 per cent of those with regional accents regularly alter the way they speak just to be understood by their devices, according to the poll by the Life Science Centre museum in Newcastle upon Tyne. A study found those fed up with repeating requests to devices โ€“ including Google Home, Amazon's Alexa (pictured), and Siri on the iPhone โ€“ have to use a more'standard' form of English instead. Of the 444 visitors who completed the survey, 33 per cent said they changed the way they spoke'a lot', while 48 per cent expressed concern that use of voice recognition could'stamp out' regional accents.


Meet Santiago Siri, the Man With a Radical Plan for Blockchain Voting

WIRED

In a cafรฉ on the Upper East Side of Manhattan, a one-time videogame developer turned political theorist named Santiago Siri is trying to explain to me how his nonprofit startup, Democracy.Earth, aims to fix the world's broken politics with the help of the blockchain. The conversation has already covered a dizzying amount of ground. We've discussed the emergence of the Westphalian order of nation-states in the 17th century, Russia's interference in the 2016 US election, the total collapse of Venezuelan society, and Siri's own experience of political corruption in his native Argentina. But he finally boils it all down to one short sentence. "We want to tokenize the like," Siri says.


How Are Digital Technologies Disrupting the Oil and Gas Industry?

#artificialintelligence

Though many industries have fully embraced technology, the oil and gas industry has come later to the party. However, the industry has not been left out when it comes to innovation. Thanks to rising oil prices and better profit margins, oil and gas companies have the capital to invest in the future. Digital technologies are currently upending the way things are being done in this industry. While companies are slow to adopt them all, soon every part of the industry will embrace these digital technologies.


Google is reportedly developing an AI assistant that recommends workouts and meal plans

#artificialintelligence

Hot on the heels of a report that Apple might be developing a coprocessor for health data analysis, news broke this afternoon of Google Coach, a rumored Google wellness product powered by artificial intelligence (AI). Fitness will be Google Coach's bread and butter, Android Police reports. But unlike Google Fit, Google's activity-tracking platform, it'll deliver insights proactively, informed in part by calendar appointments, reminders, and logged activities. If you skip a scheduled gym day, for example, it might nudge you to find another time. And if you're falling short of a fitness goal, it could suggest workouts and routines that would help you achieve it.


Efficiently Learning Mixtures of Mallows Models

arXiv.org Machine Learning

Mixtures of Mallows models are a popular generative model for ranking data coming from a heterogeneous population. They have a variety of applications including social choice, recommendation systems and natural language processing. Here we give the first polynomial time algorithm for provably learning the parameters of a mixture of Mallows models with any constant number of components. Prior to our work, only the two component case had been settled. Our analysis revolves around a determinantal identity of Zagier which was proven in the context of mathematical physics, which we use to show polynomial identifiability and ultimately to construct test functions to peel off one component at a time. To complement our upper bounds, we show information-theoretic lower bounds on the sample complexity as well as lower bounds against restricted families of algorithms that make only local queries. Together, these results demonstrate various impediments to improving the dependence on the number of components. They also motivate the study of learning mixtures of Mallows models from the perspective of beyond worst-case analysis. In this direction, we show that when the scaling parameters of the Mallows models have separation, there are much faster learning algorithms.