app


I built a chatbot in 2 hours and this is what I learned

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While browsing my only aim was to guess and rationalize the developer's decision to choose the bot platform over the app platform to solve their problem. The bot industry is in its infancy right now and they are all competing for the same thing -- to find the next killer app that makes chatbots mainstream. After listing through some problems, I finally chose to make a chatbot that correctly calculates dates from natural language strings. With Facebook's Messenger Platform and Telegram's Bot Platform, abilities offered by api.ai, wit.ai, and recast.ai It was a very liberating exercise to learn something methodically and then go on ahead and make a working proof of concept.


5 Examples of Artificial Intelligence in the Classroom - The Edvocate

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Machine Learning algorithms have already begun helping teachers fill the gaps while indicating which subjects students are struggling with the most. Content Technologies, Inc. (CTI) is an AI company using Deep Learning to create customized textbooks that fit the needs of specific courses and students. CTI hopes to fill that gap and help publishers create effective textbooks right for each individual learner. With Netex, teachers can create customized student materials to be published on any digital platform while providing tools for video conferences, digital discussions, personalized assignments, and learning analytics that show visual representations of each student's personal growth.


Barclays customers can now ask Siri to make payments for them

Engadget

In today's edition of companies making it all too easy for us to spend money, Barclays has added a feature to its iOS app that will debit your account after hearing you utter but a few words. Or, less sinisterly put, Barclays' mobile banking app now lets you make payments with Siri commands. Provided you've granted Apple's assistant access to your account in the app, you can transfer money to any previously known payee, or anyone in your iPhone's contact list. That's technically true, though PayPal added the feature towards the end of last year and Santander added voice payments to its app in February, though it's not Siri you're asking in that instance.


What's in a bad user review? Maybe your next breakthrough - Watson

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In fact, some reviews, even negative feedback, can reveal insights and better customer experiences. Some negative reviews can reveal insights that boost your app's popularity or at least deliver a great experience for your customers. The trick is distilling meaningful feedback from reviews including both positive and negative feedback. IBM is making it easier to analyze relevant customer reviews and uncover actionable intelligence buried in the data.


Prisma hopes to market its AI photo filtering tech

Engadget

Prisma's machine learning photography app may not be as hot as it was in 2016, but that doesn't mean it's going away. In theory, you'd see Prisma's clever processing find its way into your next phone or a favorite social photography app. The Prisma app is staying put, to be clear -- it has 5 million to 10 million monthly users, which is no mean feat for a small startup. Don't be surprised if its technology is interesting enough that a larger company eventually decides that it eventually needs to snap up all of Prisma, rather than paying for a toolkit.


A new machine learning app for reporting on hate in America

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This led ProPublica -- with the support of the Google News Lab -- to form Documenting Hate earlier this year, a collaborative reporting project that aims to create a national database for hate crimes by collecting and categorizing news stories related to hate crime attacks and abuses from across the country. Now, with ProPublica, we are launching a new machine learning tool to help journalists covering hate news leverage this data in their reporting. The Documenting Hate News Index -- built by the Google News Lab, data visualization studio Pitch Interactive and ProPublica -- takes a raw feed of Google News articles from the past six months and uses the Google Cloud Natural Language API to create a visual tool to help reporters find news happening across the country. The feed is generated from news articles that cover events suggestive of hate crime, bias or abuse -- such as anti-semitic graffiti or local court reports about incidents.


A new machine learning app for reporting on hate in America

#artificialintelligence

This led ProPublica -- with the support of the Google News Lab -- to form Documenting Hate earlier this year, a collaborative reporting project that aims to create a national database for hate crimes by collecting and categorizing news stories related to hate crime attacks and abuses from across the country. Now, with ProPublica, we are launching a new machine learning tool to help journalists covering hate news leverage this data in their reporting. The Documenting Hate News Index -- built by the Google News Lab, data visualization studio Pitch Interactive and ProPublica -- takes a raw feed of Google News articles from the past six months and uses the Google Cloud Natural Language API to create a visual tool to help reporters find news happening across the country. The feed is generated from news articles that cover events suggestive of hate crime, bias or abuse -- such as anti-semitic graffiti or local court reports about incidents.


Elon Musk on artificial intelligence: If you're not concerned you should be

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The easiest option is to head to the column on the left and open News Feed Preferences. Just hit the three buttons next to News Feed Preferences on the Facebook site and choose between Top Stories and Recent Stories. To permanently delete your Facebook account, you need to head to Facebook's Delete Account page. After Mr Musk called AI "a fundamental existential risk for human civilisation", the Facebook founder branded his views as "negative" and "pretty irresponsible".


11 fintech trends you need to follow BankNXT

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In the 2017 Retail Banking Trends and Predictions report, Daryl Wilkinson, managing director of DWC Strategy and Innovation, says we'll see "incumbent retail banks implementing on last year's promise of a smoother customer experience, beginning with onboarding. "One of the big barriers to improving things in the regtech space is the lack of an identity infrastructure, and that seems to have gone up the agenda recently," says David Birch, director of innovation at Consult Hyperion. After removing friction from the customer journey, the second most common cited trend to watch this year is the rise of chatbots in banking, powered by increasingly intelligent systems based on artificial intelligence (AI) and machine learning. From home improvement financing enabled by leveraging data from smart home sensors, to insure-as-you-drive insurance leveraging real-time driving (human) and travelling (autonomous) behaviour, these unique datasets will bring a whole new set of innovation and the next wave of fintech startups."


Hotswapping Core ML models on the iPhone - Zedge

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In the case where an app is already deployed to the App Store, the process of pushing a traditional update and making the user download the update may be unsuitable for frequent updates to a model. It may also be desirable to allow the user to optionally download machine learning models, whether there are many models or only one. It may also be interesting to consider if this approach could reduce the application's size. An important consideration before using these methods is to ensure that the app's functionality is preserved, whether it be functioning years down the road or when a user is not connected to a network.