Whether you're shopping for your significant other, your kid, or yourself, Valentine's Day is the perfect time to pick up some little treats. We've found a few great sales happening right now on some of our favorite gadgets and gizmos, which also make great gifts. Be sure to check our deals from earlier in the week, which are still on sale, including discounted Prana apparel, plus robot vacuums and smartwatches. Special offer for Gear readers: Get WIRED for just 5 ( 25 off). This includes unlimited access to WIRED.com, full Gear coverage, and subscriber-only newsletters.

Summer is Fading away, and school is almost back in session (for some, it's already started!). Be sure to check out our Best Dorm Gear guide for additional recommendations and gift ideas, plus the Best Student Discounts and Best Teacher Discounts. Updated August 18, 2023: We've crossed out deals and added new discounts on tech accessories, school supplies, and other gear. Special offer for Gear readers: Get WIRED for just $5 ($25 off). This includes unlimited access to WIRED.com, full Gear coverage, and subscriber-only newsletters. Subscriptions help fund the work we do every day. If you buy something using links in our stories, we may earn a commission. This helps support our journalism. This is the best MacBook for most people (7/10, WIRED Recommends). It has a bright and sharp LCD screen, slim borders for a sleek look, and enough power for everyday tasks.

As automation becomes more common, so do the challenges inherent in new technology. The 2022 Complete Learn Coding & Automation Bundle gives you hands-on practice with machine learning, data management, and automation to apply in your daily work. All eight courses in this bundle are taught by working experts in the field, including automation and algorithm expert Frank Kane, experienced technology trainer Joseph Delgadillo, and professor Nouman Azam. All of them work with automation and draw on that personal experience as they design their courses. Each course is also built to be self-paced and to be tapped into for both training and to review as needed.

This post outlines the best practices for provisioning Amazon SageMaker Studio for data science teams and provides reference architectures and AWS CloudFormation templates to help you get started. We use AWS Service Catalog to provision a Studio domain and users. The AWS Service Catalog allows you to provision these centrally without requiring each user to obtain Amazon SageMaker access policies to provision Studio separately. SageMaker is a fully managed service that provides every machine learning (ML) developer and data scientist with the ability to build, train, and deploy ML models quickly. Studio is a web-based integrated development environment (IDE) for ML that lets you build, train, debug, deploy, and monitor your ML models.

One-third of its global online sales are now picked up in the store, the company says, but that has created long lines in some cities and waits for attendants to retrieve packages, customers say. To speed up the process, Zara said earlier this year it would roll out a robot-run version of click and collect, automating the service. The collection points in brick-and-mortar stores will allow shoppers who have ordered items online to scan or enter a code, triggering a behind-the-scenes robot to search for the customer's package in a small warehouse, and then deliver it quickly to a drop box. The move comes as Zara faces heightened challenges to maintain its momentum and compete with online-only apparel retailers, such as Zalando and ASOS, that sell a variety of brands. Annual sales at both have grown more than 20% in the past couple of years compared with low double-digit percentage growth at Zara's Spanish parent company Inditex SA ITX 0.46% .

The proliferation of mobile handheld devices in combination with the technological advancements in mobile computing has led to a number of innovative services that make use of the location information available on such devices. Traditional yellow pages websites have now moved to mobile platforms, giving the opportunity to local businesses and potential, near-by, customers to connect. These platforms can offer an affordable advertisement channel to local businesses. One of the mechanisms offered by location-based social networks (LBSNs) allows businesses to provide special offers to their customers that connect through the platform. We collect a large time-series dataset from approximately 14 million venues on Foursquare and analyze the performance of such campaigns using randomization techniquesand (non-parametric) hypothesis testing with statistical bootstrapping. Our main finding indicates that this type of promotions are not as effective as anecdote success stories might suggest. Finally, we design classifiers by extracting three different types of features that are able to provide an educated decision on whether a special offer campaign for a local business will succeed or not both in short and long term.