In our Every Friday is Black Friday sale, we're dropping new Black Friday deals every Friday, with no coupon needed. The latest is a lifetime subscription to Speechnow, which uses AI and voice technology to create note-perfect voiceovers for your video content. Rated 4.5 out of 5 in our store, Speechnow uses AI and an archive of over 800 voices across a wide range of languages to generate life-like voiceovers for your marketing, podcast, and YouTube content. This special deal allows you to create voiceovers for up to one million characters of text each month. Speechnow lets you use voice effects to create a specific tone and style.

We consider the revenue maximization problem for an online retailer who plans to display in order a set of products differing in their prices and qualities. Consumers have attention spans, i.e., the maximum number of products they are willing to view, and inspect the products sequentially before purchasing a product or leaving the platform empty-handed when the attention span gets exhausted. Our framework extends the well-known cascade model in two directions: the consumers have random attention spans instead of fixed ones, and the firm maximizes revenues instead of clicking probabilities. We show a nested structure of the optimal product ranking as a function of the attention span when the attention span is fixed. \sg{Using this fact, we develop an approximation algorithm when only the distribution of the attention spans is given. Under mild conditions, it achieves $1/e$ of the revenue of the clairvoyant case when the realized attention span is known. We also show that no algorithms can achieve more than 0.5 of the revenue of the same benchmark. The model and the algorithm can be generalized to the ranking problem when consumers make multiple purchases.} When the conditional purchase probabilities are not known and may depend on consumer and product features, we devise an online learning algorithm that achieves $\tilde{\mathcal{O}}(\sqrt{T})$ regret relative to the approximation algorithm, despite the censoring of information: the attention span of a customer who purchases an item is not observable. Numerical experiments demonstrate the outstanding performance of the approximation and online learning algorithms.

Black Friday will officially arrive in just a few weeks, on November 25. Deals haven't been limited to just that actual Friday for many years now, and in many cases, the discounts we see in the weeks leading up to Black Friday are nearly as good as the ones we'll see on the day after Thanksgiving. Some stores--notably Best Buy and Target--even offer pricing guarantees so you can shop now without worrying about whether or not the price will drop. We've highlighted the best early Black Friday deals below. Be sure to check out our tips on How to Shop Like a Pro on Black Friday.

Dentsu Metaversity for Microsoft Power Skills – Powerup Power Skills with new starter inductions, employee training, enabling teams anywhere to upskill and gain new competencies through the full suite of Microsoft 365 products, Text to speech and forthcoming Microsoft Designer capabilities. Microsoft Retail Education – a space for retailers and brands to learn more about Microsoft Dynamics 365 and dentsu's ShopNXT retail innovations. Lounge - A virtual "room" where brands can connect through their professional LinkedIn identities to recruit, network, and engage with prospective buyers and customers. Ecosia Forest - Provides overall education on Ecosia - the search engine that plants trees where they are needed most, with over 160 million trees planted to date, powered by Microsoft. AI-Powered Virtual Human - our full experience will be guided by "Neva," an AI-powered virtual human created in collaboration with HeadOffice.space.

You will learn four important things. The first one is how to implement games using gym and how to play games for relaxation and having fun. The second one is that you will learn how to preprocess data in reinforcement learning tasks such as in computer games. For practical machine learning applications, you will spend a great deal of time understanding and refining data, which affects the performance of an AI system a lot. The third one is the deep Q-learning algorithm.

To make machine learning (ML) more accessible, Amazon launched Amazon SageMaker Studio Lab at AWS re:Invent 2021. Today, tens of thousands of customers use it every day to learn and experiment with ML for free. We made it simple to get started with just an email address, without the need for installs, setups, credit cards, or an AWS account. SageMaker Studio Lab resonates with customers who want to learn in either an informal or formal setting, as indicated by a recent survey that suggests 49% of our current customer base is learning on their own, whereas 21% is taking a formal ML class. Higher learning institutions have started to adopt it, because it helps them teach ML fundamentals beyond the notebook, like environment and resource management, which are critical areas for successful ML projects.

If you've been waiting for the holiday shopping season to grow your smart home ecosystem without dropping unnecessary amounts of money, you're in luck. Ahead of Black Friday, Amazon has already knocked down the price of the standard Ring Video Doorbell to $60. That's $15 cheaper than it was during Prime Day in July earlier this year and the best price we've seen it. There are a couple of compelling bundles you could get, too: pair the Video Doorbell with an Echo Show 5 for only $10 more, or get it with a battery-operated Ring Stick Up Camera for a total of $160. Amazon knocked 40 percent off the standard Ring Video Doorbell, bringing it down to the lowest price we've seen.

We propose a clustering procedure to group K populations into subgroups with the same dependence structure. The method is adapted to paired population and can be used with panel data. It relies on the differences between orthogonal projection coefficients of the K density copulas estimated from the K populations. Each cluster is then constituted by populations having significantly similar dependence structures. A recent test statistic from Ngounou-Bakam and Pommeret (2022) is used to construct automatically such clusters. The procedure is data driven and depends on the asymptotic level of the test. We illustrate our clustering algorithm via numerical studies and through two real datasets: a panel of financial datasets and insurance dataset of losses and allocated loss adjustment expense.

ALEXANDRIA, Va.--Innovation came to life for the Conexxus Innovation Research Committee (IRC) during a recent field trip that members made to multiple sites in Austin, Texas. One of the hallmarks of the IRC is to experience what's new for the industry firsthand. A visit to a new TXB Stores location in Georgetown, Texas, was on the list not only to taste its breakfast taco but also to see how an artificial intelligence pilot utilizing existing security camera system has progressed. Utilizing SparkCognition's Visual AI Advisor solution, the insights from the location visit were intriguing and revealing. To review the data, we visited with SparkCognition representatives at their offices and HyperWerx lab on a 50-acre site.

Artificial Intelligence [Winston, Patrick Henry] on Amazon.com. *FREE* shipping on qualifying offers. Artificial Intelligence