People using dating apps to'hook up' are more likely to have a sexually transmitted infection and not use protection than those who meet in other ways, a study finds. The increasing popularity of dating apps means that finding a new sexual partner is as easy as a few swipes on a screen – but researchers found this comes with risks. A team from the Public Health Agency of Sweden surveyed more than 14,500 men and women aged 16 to 84 about the sexual behaviour, online dating and health. They didn't ask which apps or services people used, but found those turning to digital dating tools were more likely to have an STI and less likely to use a condom. People using dating apps to'hook up' are more likely to have a sexually transmitted infection and not use protection than those who meet in other ways, study finds.

Artificial Intelligence (AI) has become the semiconductor equivalent of software -- pervasive, intangible, and capable of transforming the fiber of society and business. It is integrated into a growing number of applications and systems today in a manner that is both seamless and transformational. From Amazon's Alexa to self-driving vehicles, the development of AI has been revolutionary to the point that it seems to mimic human features, intelligence, and behavior. Although experts and scientists have warned against the dangers and hazards associated with highly mature AI machines, the market is expected to expand rapidly. According to Forbes, AI is a strategic priority of 83% of businesses today and is expected to drive global sales from nearly $8 billion in 2016 to more than $47 billion by 2020.

I've often wondered why Google doesn't come out with an answer to Amazon's Echo Dot with Clock. Lenovo must have been on the same wavelength, because that's just what the Lenovo Smart Clock Essential is. Actually, it's a better value than the Echo Dot with Clock, because it simultaneously displays all the information you want most frequently--not just the time--and it does it for $10 less than the 4th-gen Echo Dot with Clock. A shrunken sibling of the Lenovo Smart Clock, the Essential is a smart speaker with a 4-inch LED display that shows the current time (with an a.m./p.m. indicator, unless it's set to 24-hour mode), the day of the week (the date would be more useful), the current outdoor temperature (obtained via the internet), and an indicator for an alarm (if one is set). Four LEDs on its face light up when you say the'Hey Google' wake word.

Social media algorithms, artificial intelligence and our own genetics are among the factors influencing us beyond our awareness. This raises an ancient question: do we have control over our own lives? This article is part of The Conversation's series on the science of free will. Have you ever used Google Assistant, Apple's Siri or Amazon Alexa to make decisions for you? Perhaps you asked it what new movies have good reviews, or to recommend a cool restaurant in your neighbourhood.

Google's Nest Hub video displays are getting a new look today, adding more recommendation features to help people with their day. Most use cases for the display units revolve around people using them to play music via voice commands or operate their smart home. Google execs say they wanted to showcase different things people could do by showcasing them in discovery, and to offer more personalized recommendations on music to listen to, videos to watch and news to read. Beyond the Google Nest Hub and Hub Max, the Google Assistant lives on other displays made by others, including the Lenovo Smart Display. The display units had always had a "Your Day" feature which showed you scheduled appointments and the like in the morning.

In 2016 and 2017, Andrea Silenzi hosted and produced the hit dating podcast Why Oh Why, with the mission to chronicle her hilarious, maddening, and sometimes disastrous expedition into online dating. For guy listeners like me, it was also a window into what single women had to put up with when they were looking for love (or even just a decent date) on the internet. Her excruciatingly detailed exploration of how men and women approach digital courtship led Vulture to dub her "a genius of the cringe." After the show went on hiatus, Silenzi continued to post about the horrors of online dating on her Instagram account, a lifeline for fans who missed the show. But then this week, something else appeared on the account: She posted a very sweet engagement story, announcing her impending nuptials to a man reportedly from Hinge. Who will post screenshots of men saying things like, "Yeah i got the cure for coronavirus! I called Silenzi to ask.

Smart displays are a unique type of product. The company is announcing today a new set of features for its smart displays, including an “improved visual experience,” a dark theme, relaxing sounds, gentle alarm and Meet improvements. Instead of sticking to a one-page layout with all your notifications and cards lined up horizontally, Google’s smart displays will now have five tabs at the top the following sections: Your Day, Home Control, Media, Communicate and Discover.

Artificial intelligence (AI) is creeping into our everyday lives, often without us realizing it. Today, AI can be found in the digital assistants we use such as Apple's (NASDAQ:AAPL) Siri and Amazon's (NASDAQ:AMZN) Alexa to check our schedules and search for things on the internet; in the cars we own that now park themselves as they are able to recognize space around the vehicle; and in the small robots we use to clean our houses, such as the Roomba vacuum. Artificial intelligence is becoming more a part of our lives all the time, and will only grow in importance in coming years. In the not too distant future, AI will influence everything from how we shop for groceries to how diseases are diagnosed and treated by doctors. It all adds up to a fast growing market.

This paper presents and characterizes an Open Application Repository for Federated Learning (OARF), a benchmark suite for federated machine learning systems. Previously available benchmarks for federated learning have focused mainly on synthetic datasets and use a very limited number of applications. OARF includes different data partitioning methods (horizontal, vertical and hybrid) as well as emerging applications in image, text and structured data, which represent different scenarios in federated learning. Our characterization shows that the benchmark suite is diverse in data size, distribution, feature distribution and learning task complexity. We have developed reference implementations, and evaluated the important aspects of federated learning, including model accuracy, communication cost, differential privacy, secure multiparty computation and vertical federated learning.

Neighborhood-based recommenders are a major class of Collaborative Filtering (CF) models. The intuition is to exploit neighbors with similar preferences for bridging unseen user-item pairs and alleviating data sparseness. Many existing works propose neural attention networks to aggregate neighbors and place higher weights on specific subsets of users for recommendation. However, the neighborhood information is not necessarily always informative, and the noises in the neighborhood can negatively affect the model performance. To address this issue, we propose a novel neighborhood-based recommender, where a hybrid gated network is designed to automatically separate similar neighbors from dissimilar (noisy) ones, and aggregate those similar neighbors to comprise neighborhood representations. The confidence in the neighborhood is also addressed by putting higher weights on the neighborhood representations if we are confident with the neighborhood information, and vice versa. In addition, a user-neighbor component is proposed to explicitly regularize user-neighbor proximity in the latent space. These two components are combined into a unified model to complement each other for the recommendation task. Extensive experiments on three publicly available datasets show that the proposed model consistently outperforms state-of-the-art neighborhood-based recommenders. We also study different variants of the proposed model to justify the underlying intuition of the proposed hybrid gated network and user-neighbor modeling components.