Here are the Wyze Outdoor Cam's specs: The Wyze Outdoor Starter Bundle includes one Outdoor Cam and one base station required for use. Running on two 2,600 mAh integrated rechargeable batteries, Wyze's Outdoor Cam is completely wire-free and claims a battery life of three to six months for normal use (about 10-20 events per day). A base station is required to use the camera, but it's included in the Wyze Outdoor Cam Starter Bundle, so there are no additional products to buy. Up to four total cameras can be added to the base station, allowing you to outfit the exterior of your home with multiple cameras for less than the cost of one Arlo Pro 4, our No. 1 pick for outdoor security cameras. Wyze's outdoor camera delivers 1080p video and night vision that are easy on the eyes, as well as two-way talk functionality that's clear and easy to understand.

In my last blog, I shared some thoughts on how different forms of AI could help transform financial services, along with some challenges that needed to be overcome to ensure successful enterprise wide adoption. As promised, this blog will focus on how AI can help improve the customer experience in banking; both directly, and more so indirectly behind the scenes. When it comes to thinking about how AI can be applied to improve the customer experience in banking, many people will immediately jump to images of using "robots" to serve customers; these could be actual robots (such as HSBC's employment of "Pepper" in downtown Manhattan), or virtual agents (be it chatbots, robo-advisors etc) to service customer requests either on the phone or via chat tools. Whilst HSBC saw some success with "Pepper", it is safe to say that the more wide spread adoption of AI for customer service is focused on virtual agents. Whilst virtual agents aren't new (I remember helping a bank roll them out at least 10 years ago), their functionality has moved on massively from the heavily scripted solutions of a decade ago, to capabilities that utilise "Conversational AI" which help make the virtual agent interact with humans in a more human like way.

I was ridiculously excited to review the HomePod mini, Apple's latest small smart speaker. Just like how it's hard to review a kid product honestly without having a kid or two to test it on, it's also hard to review an Apple product if you're not already a ride-or-die Apple fan. As senior editor Michael Calore noted in his review of the first HomePod, Apple products are just not meant for everyone. They're meant for us, the dedicated members of the Apple clan who are writing reviews on our MacBooks Pro and checking Slack on our iPhones, recording step counts on our Apple Watches while listening to Apple Music on AirPods, before turning on Paw Patrol on the Apple TV. I'm an Apple fan, and I've also been in a long and dispiriting battle with the Sonos app that controls my ancient Sonos speakers.

This paper explores meta-learning in sequential recommendation to alleviate the item cold-start problem. Sequential recommendation aims to capture user's dynamic preferences based on historical behavior sequences and acts as a key component of most online recommendation scenarios. However, most previous methods have trouble recommending cold-start items, which are prevalent in those scenarios. As there is generally no side information in the setting of sequential recommendation task, previous cold-start methods could not be applied when only user-item interactions are available. Thus, we propose a Meta-learning-based Cold-Start Sequential Recommendation Framework, namely Mecos, to mitigate the item cold-start problem in sequential recommendation. This task is non-trivial as it targets at an important problem in a novel and challenging context. Mecos effectively extracts user preference from limited interactions and learns to match the target cold-start item with the potential user. Besides, our framework can be painlessly integrated with neural network-based models. Extensive experiments conducted on three real-world datasets verify the superiority of Mecos, with the average improvement up to 99%, 91%, and 70% in HR@10 over state-of-the-art baseline methods.

This Wednesday, shop and save on pizza cutter wheels, earbuds and more on Amazon. Purchases you make through our links may earn us a commission. Still trying to get all your holiday shopping finished? But while ordinarily this might seem like the time to stress, the truth is, you can still get some sensational deals on Amazon right now on all kinds of thoughtful gifts, from affordable wireless earbuds to the best citrus juicer we've ever tested and more. Here are the five best Amazon deals you don't want to miss this Wednesday.

Thank you to all the 2020 summer interns that worked with the Stitch Fix Algorithms team. For the first time, the internship program was fully remote, but that hasn't stopped them from working on impactful projects. This post summarizes some of the projects they worked on. We appreciate all your contributions and insights! This summer, I worked on the Merchandise Algorithms team.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Even otters are finding love on the Internet. It's becoming more and more common for couples to meet each other through online dating apps, especially during the pandemic. Such services have apparently become so successful at making love connections that even otters are getting set up online.

The use of voice assistants is set to triple over the next few years, according to a new forecast from the U.K.-based analysts at Juniper Research. The firm estimates there will be 8 billion digital voice assistants in use by 2023, up from the 2.5 billion assistants in use at the end of 2018. The majority of those assistants will live on smartphones, where Google Assistant and Siri offer voice assistants to Android and iOS users, respectively. In fact, Google already announced its voice assistant would be enabled on a billion devices as of last month, thanks to its integration with Android. Meanwhile, Amazon's Alexa -- which still primarily lives on smart speakers like Echo -- has reached more than 100 million devices. Juniper, however, predicts that the fastest-growing category for voice over the next several years will not be smart speakers.

Remember Bixby, Samsung's voice-activated assistant? While the company doesn't seem any closer to finally abandoning the AI, it is at least becoming more open to letting people use Google Assistant on its devices. Starting in January, Google and Samsung plan to integrate their respective platforms more closely together. To start, you'll be able to control your Nest devices, including cameras, thermostats and doorbells, through Samsung's SmartThings apps. If you happen to own a compatible Samsung smart TV or appliance, you'll be able to control those Nest devices from there too.

Once upon a time to find a restaurant a person had to flip through a thick, bulky (and sometimes dusty) book. Yes, those were the yellow pages, which incidentally could also be used as a good doorstop. So what is an AI assistant? In the most simplistic terms, its artificial intelligence (AI) that understands natural language (a human voice), jumps into action when given voice commands, and does what it is told to do. Let's examine how digital assistants are being used at home and at work.