Google accidentally enabled a feature for Google Home users which let the smart speaker listen to the sounds of objects in your house. A user on Reddit spotted a notification on his phone from his smart speaker which alerted him to the fact his smoke alarm was going off while he was cooking. Usually, Google Home devices only respond to its active'wake words' – such as "Ok, Google" or "Hey, Google" – but in this instance the speaker was listening out to a passive sound and make "my dumb smoke detectors smart," the Reddit user wrote. Other users reported getting alerts for the sound of glass breaking, popped bubble wrap, an air compressor tank, and other high-pitched noises that sound like alarms. In a statement to Protocol, a Google spokesperson said that the feature was accidentally enabled through a recent software update which has now been reversed.

Over the last couple of years, Google has gradually improved YouTube Music with features like playback screen lyrics and an Explore tab. Now, it has unveiled integration with some of its other products, including Android TV, Google Maps and and Google Assistant. The first feature is recommendations via Google Assistant. To use it, you simply say: "Hey Google, play recommended music from YouTube Music," and you'll get personalized music suggestions, including favorite artists and genres, based on your listening history. Unfortunately, this feature is only available on newer Nest speakers and not Google Home devices.

Recommender Systems and Deep Learning in Python 4.6 (1,635 ratings) Course Ratings are calculated from individual students' ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately. What do I mean by "recommender systems", and why are they useful? Let's look at the top 3 websites on the Internet, according to Alexa: Google, YouTube, and Facebook. Recommender systems form the very foundation of these technologies. They are why Google is the most successful technology company today.

Indeed, artificial intelligence is able to give driving directions or music and movie recommendations, control the lights in your house and unlock your car. It transforms people's lives by making them more efficient with the help of numerous services and programs. Besides, in the workplace, artificial intelligence continues to evolve into smart assistants helping us to work more effectively. However, it's not clear to consider artificial intelligence to be the future of our workplaces. Instead, it is rather something happening today.

We read a lot about IoT, but not clear what exactly it means, although we know about its definition so here we explain in simple terms. IoT is basically connecting of computing devices, mechanical, digital machines, objects, and people with one another. Ex: wirelessly connecting devices such as smart speakers i.e. our very own Amazon Alexa or Google Home, smart TVs, Apple Watch, internet-connected baby monitors, video doorbells, and even toys, CCTV camera's controlled by smartphones. The technology that is concerned with safeguarding the connected devices and networks in the internet of things (IoT). IoT is a concept based on the idea of everyday physical objects with the ability to communicate directly over the Internet.

These days everyone needs their machines to talk, and the only way by which a computer can communicate is through Natural Language Processing (NLP). Take the case of Alexa, a conversational item by Amazon. An inquiry is passed to it by the mode of voice, and it can answer by a similar medium, i.e., voice. The market situation of NLP is quite promising. The buzz of NLP in the market is increasing in an aggressive way which is expected to reach the mark of $ 16 billion by 2021 with the compound growth rate of 16 % yearly.

It is a career field that stems from multiple disciplines. Data is the necessity of industries and therefore, Data Science has a large number of applications. In this article, we will discuss some of the important data science applications and see how it is shaping the industries of the world today. Data Science has dominated almost all the industries of the world today. There is no industry in the world today that does not use data.

An artificial-intelligence company recently awarded a Chinese patent for a voice assistant similar to Apple Inc.'s Siri has filed a patent infringement lawsuit against Apple that, if successful, could prevent the American tech giant from selling many of its products in the world's second-largest economy. Shanghai Zhizhen Network Technology Co. said in a statement on Monday it was suing Apple for an estimated 10 billion yuan ($1.43 billion) in damages in a Shanghai court, alleging the iPhone- and iPad-maker's products violated...

Recommender systems trained in a continuous learning fashion are plagued by the feedback loop problem, also known as algorithmic bias. This causes a newly trained model to act greedily and favor items that have already been engaged by users. This behavior is particularly harmful in personalised ads recommendations, as it can also cause new campaigns to remain unexplored. Exploration aims to address this limitation by providing new information about the environment, which encompasses user preference, and can lead to higher long-term reward. In this work, we formulate a display advertising recommender as a contextual bandit and implement exploration techniques that require sampling from the posterior distribution of click-through-rates in a computationally tractable manner. Traditional large-scale deep learning models do not provide uncertainty estimates by default. We approximate these uncertainty measurements of the predictions by employing a bootstrapped model with multiple heads and dropout units. We benchmark a number of different models in an offline simulation environment using a publicly available dataset of user-ads engagements. We test our proposed deep Bayesian bandits algorithm in the offline simulation and online AB setting with large-scale production traffic, where we demonstrate a positive gain of our exploration model.

With countless laptops, gaming devices, eBikes, and more, 2020 has been on a roll. As we speak, there are preparations going on for Samsung Unpacked, the Google Pixel 4a release, and also a whole bunch of new Sony audio gear. So, it wouldn't be wrong to say that technology hasn't slowed down this year. This week, we went ahead and listed the best cool tech gadgets and the most trending technologies of the year. Be it Artificial Intelligence (AI), Internet of Things (IoT), or even Wi-Fi 6E, this weekly blog gives you a quick glimpse of every technology you should be aware of. As Elon Musk stated recently, "We're headed toward a situation where AI is vastly smarter than humans and I think that time frame is less than five years from now. But that doesn't mean that everything goes to hell in five years. It just means that things get unstable or weird." This statement does add value to the fact that more AI gadgets can actually make our lives easier. The below examples will show you how. If you need some friendly help around the house, look to the Nabot AI Trainable Robot.