The COVID-19 is impacting e-commerce in lasting ways. Over the last four months, the move to online shopping has accelerated and expanded into categories such as groceries and home improvement. Consumers under lockdown are spending more time online, researching, and shopping. While e-commerce revenues have surged overall, economic uncertainty is shifting demand to essentials, typically lower-margin products and categories. Retailers have been investing in AI technology to better understand consumer behavior over the last few years.

In the midst of the ongoing pandemic, several companies are working to further develop their artificial intelligence technologies, known as AI, to aid in a variety of different fields. Through the pandemic, companies have rapidly moved their employees to remote work to avoid contact and reduce the spread of the virus. This move has spurred on the development of AI technologies as an aid to human workers. The pursuit of AI technology covers a wide range of applications, from deep data analytics to more effective agriculture. While the AI of science fiction movies is yet to be seen, the technology has progressed in leaps and bounds in recent years.

These are the best Amazon deals of the day. Purchases you make through our links may earn us a commission. If the week was a thrilling roller coaster, Thursday would be located right before that super exciting, grin-inducing drop. With the weekend so close we can nearly taste it, we're kicking things off early with a little retail therapy to help with that final, end-of-week push. This Thursday, we've spotted some pretty electrifying deals at Amazon.

With wit, vision, and scholarship, Domingos describes how these scientists are creating programs that allow a computer to teach itself.

AI is a retailer's automated helper, acting as a smart assistant to suggest the perfect position for products in stores, accurately predict consumer demand, automate order fulfillment in warehouses, and much more. The technology can help retailers grow their top line, potentially improving net profit margins from 2 percent to 6 percent -- and adding $1 trillion in profits to the industry globally -- according to McKinsey Global Institute analysis. It can also help them hold on to more of what they already have by reducing shrinkage -- the loss of inventory due to theft, shoplifting, ticket switching at self-checkout lanes, etc. -- which costs retailers $62 billion annually, according to the National Retail Federation. For retailers, the ability to deploy, manage and scale AI across their entire distributed edge infrastructure using a single, unified platform is critical. Managing these many devices is no small feat for IT teams as the process can be time-consuming, expensive and complex.

Have you ever ordered a large package and found that it would be shipped to you the very next day? Ever wonder how it was possible that the minute you buy something online, it's already found, registered, and in the process of getting to you? It's all thanks to warehouses that are using some special tech to make the process as efficient as it can be. Machine learning is revolutionary in almost every field, but the warehouse industry in particular has seen huge gains thanks to some of the advancements this technology has provided. It's completely changed the way warehouses can track, manage, and ship items by streamlining and automating many common tasks to the point where the process is almost completely autonomous.

You can get the Echo Show 5 for under $50 right now, plus get cool extras. Purchases you make through our links may earn us a commission. Life gets so hectic sometimes it helps to have an assistant. With the Echo Show 5, that's essentially what you'll be getting: A remarkably resourceful buddy who's always down to help you with your errands and to-do list--all you have to do is ask. As one of Amazon's early Prime Day 2020 deals, Prime members can get this truly marvelous smart display at a major discount--and that's just where the fun begins.

Effective October 1st, 2020, we're reducing the prices for ml.p3 and ml.p2 instances in Amazon SageMaker by up to 18% so you can maximize your machine learning (ML) budgets and innovate with deep learning using these accelerated compute instances. The new price reductions apply to ml.p3 and ml.p2 instances of all sizes for Amazon SageMaker Studio notebooks, on-demand notebooks, processing, training, real-time inference, and batch transform. Customers including Intuit, Thomson Reuters, Cerner, and Zalando are already reducing their total cost of ownership (TCO) by at least 50% using Amazon SageMaker. Amazon SageMaker removes the heavy lifting from each step of the ML process and makes it easy to apply advanced deep learning techniques at scale. Amazon SageMaker provides lower TCO because it's a fully managed service, so you don't need to build, manage, or maintain any infrastructure and tooling for your ML workloads.

This early Prime Day 2020 deal on a Shark robot vacuum will save you $70. Purchases you make through our links may earn us a commission. By now, you're probably already well aware that an affordable robot vacuum can be a real lifesaver when it comes to cleaning up pet hair, snack crumbs and pretty much any mess in between. If you're looking for a machine to help you prolong the hassle of busting out the broom and mop for daily touch-ups to your floors, you're in luck: The Shark ION AV751 robot vacuum just so happens to be at a big discount ahead of Amazon Prime Day 2020. Not only is this machine highly-rated by Amazon shoppers for its powerful cleaning and high-tech features, it's a cool 32% off right now, falling from $219.99 to $149.99.

Product descriptions in e-commerce platforms contain detailed and valuable information about retailers assortment. In particular, coding promotions within digital leaflets are of great interest in e-commerce as they capture the attention of consumers by showing regular promotions for different products. However, this information is embedded into images, making it difficult to extract and process for downstream tasks. In this paper, we present an end-to-end approach that classifies promotions within digital leaflets into their corresponding product categories using both visual and textual information. Our approach can be divided into three key components: 1) region detection, 2) text recognition and 3) text classification. In many cases, a single promotion refers to multiple product categories, so we introduce a multi-label objective in the classification head. We demonstrate the effectiveness of our approach for two separated tasks: 1) image-based detection of the descriptions for each individual promotion and 2) multi-label classification of the product categories using the text from the product descriptions. We train and evaluate our models using a private dataset composed of images from digital leaflets obtained by Nielsen. Results show that we consistently outperform the proposed baseline by a large margin in all the experiments.