In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that solve common business problems. These features remove the heavy lifting from each step of the ML process, making it easier to develop high-quality models and reducing time to deployment. This post is the fourth in a series on using JumpStart for specific ML tasks. In the first post, we showed how to run image classification use cases on JumpStart.

The field of computer vision in retail is getting bigger. More and more retail and e-commerce enterprises are using computer vision solutions to meet customer needs better and keep track of inventory. Clearly, there are no limits to how AI and computer vision can be used in retail. Let's talk in-depth about how artificial intelligence based computer vision is used in retail and what it can do. Retail AI and vision can enhance people's shopping experiences and retailers' overall profits in various ways, including image optimization, analysis of consumer behavior, management of shelf space, and monitoring of in-store health.

In a bid to increase sales and reduce food waste, more and more of Japan's convenience stores and supermarkets are letting artificial intelligence analyze data such as past sales figures to decide what discounts to apply to perishable products. At about 3 p.m., in a branch of the Lawson convenience store chain in Tokyo's Shinjuku Ward, an in-store computer decides which food products should be discounted and by how much. A display reads "assorted sandwiches, one, ¥20 ($0.13) discount," another, "crispy ham and lettuce sandwiches, three, ¥30 discount." This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites.

Join us on November 9 to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers at the Low-Code/No-Code Summit. In the ecommerce world, digital images are everything. A new platform is using artificial intelligence (AI) to give brands the ability to evaluate visual content "through the eyes" of their target audiences in real time. Vizit, a provider of image analytics software for global brands and retailers, uses the organic interactions millions of consumers have with online commercial imagery to generate new AI-powered models of their visual preferences, called Vizit Audience Lenses. The goal is to ensure the images a brand uses for representing its products online are effective at capturing the desired audience's attention and triggering sales conversions.

In the ecommerce world, digital images are everything. A new platform is using artificial intelligence (AI) to give brands the ability to evaluate visual content "through the eyes" of their target audiences in real time. Vizit, a provider of image analytics software for global brands and retailers, uses the organic interactions millions of consumers have with online commercial imagery to generate new AI-powered models of their visual preferences, called Vizit Audience Lenses. The goal is to ensure the images a brand uses for representing its products online are effective at capturing the desired audience's attention and triggering sales conversions. Vizit is the latest entrant in the crowded digital shelf space, which refers to wherever products are made visible and available for online purchase.

Get familiar with practical concepts of Machine Learning from ground zero Learn how to deploy Machine Learning models in production Understand how to do "Data Science Storytelling" Explore the latest topics in the current industry about Machine Learning Understand how to do "Data Science Storytelling"

Black Friday doesn't officially arrive for a few more weeks, but we're already starting to see retailers run early holiday sales on several gadgets we recommend. Roku's Streaming Stick 4K, for instance, has fallen to a new low of $25, while Sony's WH-1000XM5 headphones are back down to the price we saw during Amazon's Prime Early Access Sale last month. There are offers on Amazon and Google devices beyond that, plus discounts on Roombas, MacBooks, Logitech gaming mice, and Samsung storage gear, among others. Here are the best tech deals from this week that you can still get today. This drop to $25 represents a new low for Roku's Streaming Stick 4K, which is currently the top streaming stick in our guide to the best streaming devices.

Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, image, and text. This post is the second in a series on the new built-in algorithms in SageMaker. In the first post, we showed how SageMaker provides a built-in algorithm for image classification.

Dr. Vivek Madan is an Applied Scientist with the Amazon SageMaker JumpStart team. He got his PhD from University of Illinois at Urbana-Champaign and was a Post Doctoral Researcher at Georgia Tech. He is an active researcher in machine learning and algorithm design and has published papers in EMNLP, ICLR, COLT, FOCS and SODA conferences. João Moura is an AI/ML Specialist Solutions Architect at Amazon Web Services. He is mostly focused on NLP use-cases and helping customers optimize deep learning model training and deployment. He is also an active proponent of low-code ML solutions and ML-specialized hardware. Dr. Ashish Khetan is a Senior Applied Scientist with Amazon SageMaker built-in algorithms and helps develop machine learning algorithms. He got his PhD from University of Illinois Urbana Champaign. He is an active researcher in machine learning and statistical inference and has published many papers in NeurIPS, ICML, ICLR, JMLR, ACL, and EMNLP conferences.

AI software development company, Boom Interactive, announced it has partnered with the Basha family, former owners of Bashas' Supermarkets, to bring its 3D design technology to the grocery and retail industries. "Boom Interactive's technology is changing the way commercial developers construct and design their spaces and how brands display their goods" After selling Bashas' to Raley's in 2021, brothers Preston, Dalton and Brandon Basha created a family office along with their other two siblings, Tortuga Trading Co., to invest in companies like Boom Interactive, to breathe new life into the grocery industry. Tortuga has committed to building out the retail version of Boom Interactive's flagship product, Bubbles, called R3D, and will be offering the software to their portfolio of retail partners. "Boom Interactive's technology is changing the way commercial developers construct and design their spaces and how brands display their goods," said Brandon Basha. "We are honored to get our hands dirty to help this revolutionary platform blossom."