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artificial intelligence

Tinder slammed over mysterious premium pricing, transparency and data use concerns


Tinder users have known for a while that the price you pay for the dating app's premium service, Tinder Plus, might not be the same amount the people you're swiping are shelling out. Tinder has already settled an age discrimination lawsuit in California, which saw users over 29 in the state -- who, like all U.S. users, had been paying double what younger people were for the subscription -- eligible for part of a settlement totalling $23 million. Now the Australian consumer organisation Choice has filed an official complaint with the national consumer commission, the ACCC, after conducting a mystery-shopper survey that found prices for a one-month subscription to Tinder Plus ranged from AUD$6.99 to more than AUD$34, with no transparency upfront about the variation. Tinder Plus is the lowest tier of Tinder's premium subscription options, offering users extra features like unlimited swipes, the ability to undo left-swipes, and Super Likes and Boosts to help get your profile more attention. There's also Tinder Gold, which includes all the above as well as the ability to see who's already swiped right on you and Top Picks, and the new Platinum tier, which includes the ability to message people you haven't actually matched with yet.

Beyond video analytics, what are the benefits of AI and machine learning?


Artificial intelligence and machine learning bring exponential changes to the way physical security processes input from video cameras and sensors. Data is the fuel that feeds AI, and cameras provide massive amounts of video for review. AI's deep learning algorithms automatically detect differences between human and vehicle movements as opposed to animals, blowing leaves or reflections of light. One result is a tremendous reduction in false alarms and potentially related fines. We view AI as an added layer of security, helping, not replacing, humans to do a better job of securing people and assets.

Meet the team : Rashid Oukhai, the 'philosopher' businessman


We begin with Mr Rashid Oukhai, the Founder and CEO of Peculium. A student of computer sciences, Rashid began his journey some 20 odd years back when Big Data was not formally called so. His interest in data sciences ripened when he started working with a well known Telecommunications provider in France. His first task on his first day was to make sense of a massive database! For most of us, that would have been a daunting task. However, there are few among us that love to work with data.

Which Python Data Science Package Should I Use When?


Every package you'll see is free and open source software. Thank you to all the folks who create, support, and maintain these projects! If you're interested in learning about contributing fixes to open source projects, here's a good guide. And If you're interested in the foundations that support these projects, I wrote an overview here. Pandas is a workhorse to help you understand and manipulate your data.

Microsoft uses AI to boost its reuse, recycling of server parts


Microsoft is bringing artificial intelligence to the task of sorting through millions of servers to determine what can be recycled and where. The new initiative calls for the building of so-called Circular Centers at Microsoft data centers around the world, where AI algorithms will be used to sort through parts from decommissioned servers or other hardware and figure out which parts can be reused on the campus. Microsoft says it has more than three million servers and related hardware in its data centers, and that a server's average lifespan is about five years. Plus, Microsoft is expanding globally, so its server numbers should increase. Circular Centers are all about quickly sorting through the inventory rather than tying up overworked staff. Microsoft plans to increase its reuse of server parts by 90% by 2025.

Designing Better Drugs: Atomwise Lands $123M To Advance AI Drug Discovery


Atomwise, which is using artificial intelligence for small molecule drug discovery, received a cash infusion of $123 million in an oversubscribed Series B financing. San Francisco-based Atomwise touts being the creator of the first convolutional neural networks, or visual imagery, using AI technology for drug discovery, a market estimated to reach $40 billion in value by 2027, according to Fior Markets research. To date, Atomwise has provided AI technology to more than 750 academic research collaborations addressing over 600 disease targets, Abraham Heifets, co-founder and CEO told Crunchbase News. B Capital Group and Sanabil Investments led the investment that also included existing investors DCVC, BV, Tencent, Y Combinator, Dolby Ventures, AME Cloud Ventures, as well as two undisclosed insurance companies. This brings the total amount of capital raised, since Atomwise's inception in 2012, to almost $175 million.

The Future of AI in Digital Marketing - NewsDio


Technological advancements are continuously changing the business world and how companies do marketing. The phrase'data is the new oil' is going to be a buzzword for a long time because it rings true. But just like oil, data is of no use if it's not refined into insights that help you create value. The tools that help you refine data are more critical to business today than ever before. Artificial intelligence is currently at the top of the food chain in the marketing world.

Chatbot Development Tutorial: Introduction of Intent, Stories, Actions in Rasa X


In our first part " Rasa Introduction " we have seen the basic concept of Rasa. If you have not read the "Rasa Introduction" Blog then go through it before we start with Rasa X. Rasa X has been launched to further help developers working with Rasa open source framework. Rasa X is used to review the conversations between users and the assistant and using that to improve the assistant. In this tutorial, we will see how to create intent, responses, stories and how can you train the model using Rasa X UI. Before creating Rasa Project make sure you are in the directory "rasaDemo".

Artificial Intelligence speeds up screening for COVID-19 in ERs - Innovation Origins


Researchers from the Eindhoven University of Technology and the Catharina Hospital in Eindhoven have developed a new algorithm for rapid screening of COVID-19. The software is intended for use in Emergency Rooms, to quickly exclude the presence of corona in incoming patients. As a result, doctors need to conduct fewer standard coronavirus tests, increasing efficiency. The quick scan for COVID-19 was developed within three months and is already in use by doctors in the Emergency Room (ER) of the Catharina Hospital. At the peak of the coronary pandemic, ER doctors at the Catharina Hospital approached the researchers asking whether they knew of any tests for COVID-19 that were faster than the standard PCR test.

Pro PowerShell for Database Developers - Programmer Books


Pro PowerShell for Database Developers helps you master PowerShell application development by continuing where other books leave off. There are no "Hello World" functions here, just real-world examples that get down to business. Develop and deploy database and ETL applications in a reusable framework. Read from any data source and write to any destination. Pro PowerShell for Database Developers shows how to dive into the PowerShell environment and customize it to your needs.