Last year, Amazon launched the Echo Wall Clock, a physical clock that can also display timers from your Echo device via a ring of LEDs around the clock's face. Now, a new model of the device, the Echo Wall Clock ME, has shown up in Federal Communications Commission filings, and it appears that the new model will be Mickey Mouse-themed. Beyond the addition of Mickey's smiling face, twisted time-telling arms, and a cartoony background, it seems like the Echo Wall Clock ME (Mickey Edition?) shares a lot of characteristics with the original Echo Wall Clock. The ME appears to have the same font for the clock's numbers and similar LEDs all around the clock face. Based on these filings, though, it's unclear if there are any other differences between the Echo Wall Clock ME and the original Echo Wall Clock.

Take a deep breath: Black Friday, Nov. 29, is nearly here. To help shoppers maximize out their purchasing power without, well, maxing out their credit cards, many big box retailers are rolling out their Black Friday and Cyber Monday deals early. Some of these special offers are available now; others will go live on Black Friday and through the weekend. So if you're hoping to load up on iPads, Air Pods, Pixel 4s, and Fitbits: now(-ish) is the time. Here are some of the best deals from Target, Amazon, Walmart, Best Buy and more, set to tempt tech-savvy customers with discounts on everything from gaming systems to smart home gadgets to new laptops, smartwatches, and tablets.

Matrix completion problems are the problems of recovering missing entries in a partially observed high dimensional matrix with or without noise. Such a problem is encountered in a wide range of applications such as collaborative filtering, global positioning and remote sensing. Most of the existing matrix completion algorithms assume a low rank structure of the underlying complete matrix and perform reconstruction through the recovery of the low-rank structure using singular value decomposition. In this paper, we propose an alternative and more flexible structure for the underlying true complete matrix for the purpose of matrix completion and denoising. Specifically, instead of assuming a low matrix rank, we assume the underlying complete matrix has a low Kronecker product rank structure. Such a structure is often seen in the matrix observations in signal processing and image processing applications. The Kronecker product structure also includes low rank singular value decomposition structure commonly used as one of its special cases. The extra flexibility assumed for the underlying structure allows for using much less number of parameters but also raises the challenge of determining the proper Kronecker product configuration to be used. In this article, we propose to use a class of information criteria for the determination of the proper configuration and study its empirical performance in matrix completion problems. Simulation studies show promising results that the true underlying configuration can be accurately selected by the information criteria and the accompanying matrix completion algorithm can produce more accurate matrix recovery with less number of parameters than the standard matrix completion algorithms.

Only 22% of CRM users say AI meaningfully helps them a lot at work and only 12% actually use a specific AI-based tool; 11% say AI in their CRM allows them to focus on high-value customers and 36% CRM think AI is a strong value for the money spent on it [Dynata and Freshworks survey of 501 U.S. CRM users] Stanford's Michael Webb has developed a new methodology to estimate the impact of AI on jobs: Matching patent applications with job descriptions, he found that "AI exposure is highest for high-skilled occupations, suggesting that AI will affect very different people than software and robots," concluding that "high-wage occupations are relatively more exposed to AI than low-wage occupations" [The Impact of Artificial Intelligence on the Labor Market] More than 60% of Americans believe the government and companies collect data about them daily; more than 80% feel they have little control over the data collected about them by the government and companies and believe the risks of this data collection outweigh the benefits; 59% say they have little or no understanding regarding what is done with the data collected about them by companies and 78% have similar lack of understanding about the government's data collection; 70% say their personal data is less secure than 5 years ago [Pew Research Center] Over 74% of consumers are still confused about how their data is handled; over 49% still don't trust the privacy policies that businesses have shared; 32% of consumers are "Privacy Actives"--they care about privacy, are willing to act to protect it, and have already acted by switching companies or providers based on their data-sharing practices. European startups pursuing some kind of AI-related product or service are on track to raise $4.9 billion in 2019, up from $3.2 billion in 2018. Funding this year for robotics will reach $1.4 billion and for deep learning $320 million [Venturebeat.com] The market for virtual digital assistants (VDAs) will grow from $1.3 billion in 2018 to more than $8.9 billion in 2025 [Tractica]

Instagram has shared new details on how its app uses machine learning to surface content for users, stressing that, when making recommendations, it focuses on finding accounts it thinks people will enjoy, rather than individual posts. The blog post is technical in nature and contains no big surprises, but it offers an interesting behind-the-scenes perspective at a time when algorithmic recommendation systems are under scrutiny for pushing users toward dangerous, hateful, and extremist content. While Instagram has not been criticized with the same ferocity as YouTube (dubbed "the Great Radicalizer" by The New York Times), it certainly has its share of problems. Hateful content and misinformation thrive on the platform as much as any other social network, and certain mechanisms in the app (like its suggested follows feature) have been shown to push users toward extreme viewpoints for topics like anti-vaccination. In its blog post, though, Instagram's engineers explain the operation of the Explore tab while steering clear of thorny political issues. "This is the first time we're going into heavy detail on the foundational building blocks that help us provide personalized content at scale," Instagram software engineer Ivan Medvedev told The Verge over email.

A new generation of smart speakers greatly improves on the device's sound quality. A new generation of smart speakers greatly improves on the device's sound quality. As the audio engineer for the Tiny Desk concert series, of course I obsess over how our concerts are experienced -- so when I watch someone pull up a session on their smartphone, laptop or tablet, with those tiny and tinny speakers, my heart sinks a little. I'm thrilled people love these concerts as much as we love making them, but they sound so much better when played on a decent sound system, or on headphones. Sure, the concerts sound OK on a mono phone speaker, but you'd be amazed by what you're missing once you've heard the audio mix on a device that can actually reproduce the low and high ends of the frequency spectrum, where all the chest-thumping bass and shimmering cymbals live.

Artificial intelligence has affected our everyday lives, and we realize it isn't a scary concept as people once thought of it. Every year, we see AI introducing new ways to engage users, drives sales and make the processes convenient. In the past years, we witnessed the popularity and effectiveness of AI bots and how they made our lives and jobs easier. Companies in 2019 have been able to access and implement this life-changing technology. Look around yourself if you don't trust me and note all kinds of interesting AI uses.

"It's good to have high-quality competition; it helps drive research forward at a faster pace." You must be wondering why I have put up this quote while the topic says about artificial intelligence (AI) for web development companies? Well, certainly, to give you a clear picture of what I am going to explain ahead. For any business, it is very important to have competition as it makes it follow the trends. Similarly, in the world of web development and designing, there always remain a need for changes in order to meet the demand to deliver a better user experience to the end-users.

When Amazon debuted the Amazon Echo in 2014, there were decidedly mixed reactions to the black, cylindrical Bluetooth speaker that could pick up voice commands. Few understood why the e-commerce giant had suddenly released a $199 speaker that could talk to you. Today we know that the Echo and other devices Amazon has since released are mere vessels for the real star of the show: Alexa. The voice assistant is available in 15 languages and 80 countries and boasts more than 100,000 "skills," compared to about a dozen five years ago. It can wake up your cat, serve as an interpreter, deter a burglar, help you work out, and streamline your workflow.

Machine learning is an integral part of Pittsburgh's tech economy, thanks to Carnegie Mellon University's position as one of the nation's foremost research centers on the topic. That's enticed tech giants such as Google and Uber to set up shot in the Steel City. Pittsburghers have varied knowledge on what machine learning is. On a crisp afternoon on Carnegie Mellon University's campus, Adeline Mercier of Squirrel Hill was walking with her young daughter on campus. She said her husband works in machine learning.