Tinder to launch choose-your-own-adventure style series that connects people based on their choices

Daily Mail - Science & tech

Swiping is no longer the only way to find matches on Tinder. In a choose-your-own-adventure style series set to be rolled out next month, users will be able to match with other dating hopefuls by clicking their way through an interactive narrative. 'Swipe Night,' as Tinder is calling it, will air on October 6 and is designed to match users based on the choices they make during a short ''first-person apocalyptic adventure.' All of the episodes will be'live', so-to-speak, with each being available for viewing only between the hours of 6 pm and midnight during a respective users' local time. The series will consist of short five-minute videos during which users are periodically given seven seconds to choose what happens next.


Vianai emerges with $50M seed and a mission to simplify machine learning tech – TechCrunch

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You don't see a startup get a $50 million seed round all that often, but such was the case with Vianai, an early-stage startup launched by Vishal Sikka, former Infosys managing director and SAP executive. The company launched recently with a big check and a vision to transform machine learning. Just this week, the startup had a coming out party at Oracle Open World, where Sikka delivered one of the keynotes and demoed the product for attendees. Over the last couple of years, since he left Infosys, Sikka has been thinking about the impact of AI and machine learning on society and the way it is being delivered today. He didn't much like what he saw.


Being human in the age of AI

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Will AI take over the world? Or, more to the point, will it take over the humankind? It seems to have invaded the public consciousness, sparking concerns that AI will take away jobs. This fear is driven in part by companies using AI to deliver cost savings across their businesses, including areas related to labor. But AI is much more than that.


Being human in the age of AI

#artificialintelligence

Will AI take over the world? Or, more to the point, will it take over the humankind? It seems to have invaded the public consciousness, sparking concerns that AI will take away jobs. This fear is driven in part by companies using AI to deliver cost savings across their businesses, including areas related to labor. But AI is much more than that.


How to Deploy Machine Learning Models on Mobile and Embedded Devices

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Thanks to libraries such as Pandas, scikit-learn, and Matplotlib, it is relatively easy to start exploring datasets and make some first predictions using simple Machine Learning (ML) algorithms in Python. Although, to make these trained models useful in the real world, it is necessary to make them available to make predictions on either the Web or Portable devices. In two of my previous articles, I explained how to create and deploy a simple Machine Learning model using Heroku/Flask and Tensorflow.js. Today, I will instead explain to you how to deploy Machine Learning models on Smartphones and Embedded Devices using TensorFlow Lite. TensorFlow Lite is a platform developed by Google to train Machine Learning models on mobile, IoT (Interned of Things) and embedded devices.


How artificial intelligence is shaping the future of society

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Maria Bartiromo explores the bounds of artificial intelligence usage globally. From health care to the transportation industry, FOX Business' Maria Bartiromo looks at how artificial intelligence (AI) is shaping the future of society. In February the U.S. government launched an American AI initiative, which aims to stimulate AI development. The government's investments in unclassified R&D for AI technologies is up 40 percent since 2015 and for the first time in history, President Trump's fiscal year 2019 budget requests to designate AI and unmanned autonomous systems a priority. However, some say the problem is that China spends much more on AI investment and financing.


Microsoft: We want you to learn Python programming language for free ZDNet

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Microsoft has launched a new 44-part series called Python for Beginners on YouTube, consisting of three- to four-minute lessons from two self-described geeks at Microsoft who love programming and teaching. The course isn't quite for total beginners as it assumes people have done a little programming in JavaScript or played around with the MIT-developed Scratch visual programming language aimed at kids. But it could help beginners kick-start ambitions to build machine-learning apps, web applications, or automate processes on a desktop. Microsoft has published a page on GitHub containing additional resources, including slides and code samples to help students become better at Python. The Python for Beginners series is presented by Christopher Harrison, a senior program manager at Microsoft, and Susan Ibach, a business development manager from Microsoft's AI Gaming unit.


Aliro Raises $2.7 Million Spun Out of Harvard University's Quantum Computing Lab

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Aliro enables software developers using its hardware-independent, cloud-ready platform to take advantage of the power of quantum computing more efficiently and accurately. The platform facilitates the composition and verification of quantum programs, as well as hybrid (classical-quantum) programs and enables their execution on the best quantum hardware for the job. These applications range from molecular simulation (with implications in drug discovery, materials development, and chemistry), financial optimization, quantum machine learning and artificial intelligence, advanced logistics, and more. Aliro's software lowers the barrier to entry for businesses that are ready to discover the increased potential that quantum computing offers.


50 Most Popular AI-influencers of North America

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It has been more than six decades since the concept of Artificial Intelligence has transformed from imagination to an academic discipline. Influencers, especially those active on social media help give direction to the policymakers and academicians. They keep common men updated on the trends and'what is what' in AI, Machine Learning and associated concepts like Big Data and BlockChain. AiThority introduces you to the 50 most popular AI-influencers of North America. A PhD in industrial-organizational psychology, his interests lies in Data Science, CX, Statistics and Machine Learning.


A Deeper Understanding Is Needed To Improve Neural Networks

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The development of neural networks is not a new thing. In fact, neural networks have been around since the 1940s, according to MIT News. No one has really been interested in the application of this technology until now. To begin, let's define a neural network. According to the definition by Investopedia: "A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. Neural networks can adapt to changing input; so, the network generates the best possible result without needing to redesign the output criteria."