The $3 billion Online Dating industry has seen a rise of all kinds of apps for all kinds of dating: traditional, long term dating, hook-ups, gay, lesbian, queer, group, "friends of friends", Ivy League, DNA, astrology - you name it! In fact, online dating apps are becoming so popular that over 50% of couples will meet online by 2031, according to eHarmony. Hundreds of millions of users hooked on apps allow dating companies to accumulate incredible amounts of data. This data advances the technology behind dating services enabling not only AI matchmaking but also a more secure and enjoyable online experience. Take a look at our AI In Dating Innovation Landscape which includes 50 rising startups as well as mature companies that leverage AI to make dating more efficient, fun, and safe.

Maybe you rely on Siri or the assistant built into your phone, but you likely have a full-fledged AI assistant in your home, too. Alexa, built into the Amazon Echo, is everywhere. If you have an Echo, there's a good chance Alexa has driven you up the wall a time or two with the follow-up questions. Tap or click here for 5 quick fixes to Amazon Echo annoyances. While you're poking around the settings, don't ignore security.

Visualization recommendation systems simplify exploratory data analysis (EDA) and make understanding data more accessible to users of all skill levels by automatically generating visualizations for users to explore. However, most existing visualization recommendation systems focus on ranking all visualizations into a single list or set of groups based on particular attributes or encodings. This global ranking makes it difficult and time-consuming for users to find the most interesting or relevant insights. To address these limitations, we introduce a novel class of visualization recommendation systems that automatically rank and recommend both groups of related insights as well as the most important insights within each group. Our proposed approach combines results from many different learning-based methods to discover insights automatically. A key advantage is that this approach generalizes to a wide variety of attribute types such as categorical, numerical, and temporal, as well as complex non-trivial combinations of these different attribute types. To evaluate the effectiveness of our approach, we implemented a new insight-centric visualization recommendation system, SpotLight, which generates and ranks annotated visualizations to explain each insight. We conducted a user study with 12 participants and two datasets which showed that users are able to quickly understand and find relevant insights in unfamiliar data.

But they must be something, otherwise dating apps like Tinder and Bumble wouldn't be having nearly as much success as they are. Unfortunately, you can't tell just from someone's appearance whether you're likely to get along with them--and equally importantly when it comes to the world of swiping, whether they find you attractive in return. A new AI could throw a wrench in the already-overwhelming world of dating apps. Developed by a team from the University of Helsinki and Copenhagen University, the artificially intelligent system was able to generate images of fake faces that it knew particular users would find attractive--because those same users' brain activity played a part in training the AI. It sounds creepy, futuristic, and like the ultimate catfishing opportunity, right?

On TikTok, for instance, AI sorts the posts so that the first ones you see are likely to be those you'd prefer. AI serves up the useful results of every Google search. When you ask Siri to play Taylor Swift, AI turns your speech into a command to start her songs. But before an AI can do any of that, developers must train it. In fact, that training's appetite for energy could soon become a huge problem, researchers now worry.

Dr Lara Martin wants to teach artificial intelligence how to tell a tale and tell it well. Lara is a Computing Innovation Fellow postdoctoral researcher at the University of Pennsylvania, where she teaches AI to generate stories and produce language that is natural and human-like. She reveals why we need to train machines how to be storytellers and what Dungeons & Dragons has to do with it all. People have been telling stories since before we could write; we're natural storytellers. So if machines were able to tell and understand stories as well, we'd be able to communicate with them more naturally.

Artificial intelligence is no more the future of marketing; it is pretty much at the moment. Consider all the ways AI technology has already started contributing to our everyday lives. Artificial intelligence is progressively becoming a central part of numerous industries and has various use cases, particularly in marketing. All businesses, big or small, have begun using AI to some extent to upgrade their website, products, and customer experience over time. If reports are to be believed, the top-performing organizations are more than 2x likely than their peers to use AI for marketing purposes.

It was a good week to grab the latest Amazon Echo devices as many of them were discounted to near-record lows. The sale that started over the weekend continued and saw prices slashed on the latest Echo, Echo Show 5 and Echo Dot, among others. Apple's MacBook Pro M1 fell to its lowest price yet thanks to coupons that accompanied sale prices, and the Apple Watch SE remains on sale for $259. And through Sunday, Best Buy has a limited-time sale on a bunch of gear, including the latest Samsung smartphones, Surface tablets and OLED TVs. Here are the best tech deals from this week that you can still get today.

What is the true face of Artificial Intelligence (AI)? Can it bring many benefits? Can it bring any harm? A thorough and detailed study of the most prominent AI interfaces from Google to Uber was conducted by us. The study highlighted familiar, and widely used and accepted AI such as IBM's Watson, Apple's Siri, Amazon's Alexa, and Google Assistant. It shows us exactly how alarming this state of affairs has become. The situation is serious and it may prove good advice to regain control before it's too late.

We all use facial recognition to unlock our phones. And we all view online content automatically suggested to us. But some of us have rather more success with artificial intelligence (AI) than others. A study of face recognition AIs discovered that systems from leading companies IBM, Microsoft and Amazon misclassified the faces of Oprah Winfrey, Michelle Obama and Serena Williams, while having no trouble at all with white males. Even the voices of digital assistants such as Cortana or Google Assistant have female voices by default, perhaps unconsciously reinforcing the stereotype of female subservience in the minds of millions of users.