Readers respond to Anthony Lane's essay about Christopher Marlowe, Lauren Collins's report on Uniqlo, and Dhruv Khullar's article about A.I. and medical diagnosis. I very much enjoyed Anthony Lane's gleeful review of Stephen Greenblatt's new biography of Christopher Marlowe (Books, September 15th). Lane reminds us that Marlowe took the plot of his play "Dido, Queen of Carthage" from Virgil's Aeneid. I'm not convinced, though, that Virgil would "blench" at Marlowe's opening scene, where a lecherous Jupiter entertains Ganymede, a boy, on his knee. Have another look at the opening verses of the Aeneid (especially Book I, line 28).

With the rise of cryptocurrencies around the world, there are now more ways than ever for people to invest their money. If you could accurately predict the stock market, you'd be one of the richest people on earth. As a result, there have been previous studies on how to predict the stock market using sentiment analysis. For those of you looking to build similar predictive models, this article will introduce 10 stock market and cryptocurrency datasets for machine learning. The data was last updated on November 10th, 2017 and the files are all in CSV format.

At a warehouse in Tokyo's Ariake district once mainly staffed by people, robots are now doing the work of inspecting and sorting the clothing housed there by Japanese retailer Uniqlo. The company recently remodeled the existing warehouse with an automated system created in partnership with Daifuku, a provider of material handling systems. Now that the system is running, the company revealed during a walkthrough of the new facility, Uniqlo has been able to cut staff at the warehouse by 90%. The warehouse can now also operate 24 hours a day. The robotic system is designed to transfer products delivered to the warehouse by truck, read electronic tags attached to the products and confirm their stock numbers and other information. When shipping, the system wraps products placed on a conveyor belt in cardboard and attaches labels to them.

Can't decide what to wear? Uniqlo, the Japanese fast-fashion chain, has a solution: A chatbot that gives clothing recommendations based on human input, as well as your purchasing history and . . . The technology, which has been years in the making, is just one example of the extremes that retailers are going to as they try to build computer algorithms that can intuit the intangibles of fashion. "Instead of making something that's purely mechanical - you bought this last month, so you might like this - we're infusing humanity into the process," said Rei Inamoto, founder of Inamoto & Co., the New York-based firm behind Uniqlo's technology. "When somebody asks, 'What should I wear?' they're looking for a personalized answer."

Fast Retailing Co., the parent company of major retailer Uniqlo, has put out the welcome mat for Japan's small number of recognized refugees, offering job opportunities for some who might dream of careers in fashion or sales. Even so, for most refugees, language barriers and other issues remain hurdles as they try to establish their lives in Japan, often far from home. Refugees sometimes get jobs in factories, including auto manufacturers, and in the construction and nursing industries, but most are employed in washing and cleaning jobs, according to data from the Tokyo-based Refugee Assistance Headquarters (RHQ), which helps legally recognized refugees find jobs. "They work at places where work can be done without speaking Japanese," said Hiroaki Ito, an official at RHQ. As of March 2016, RHQ, which also provides Japanese language and basic lifestyle education to refugees in the initial months after they arrive in Japan, had helped 396 refugees get work in Japan. Until 2016, Fast Retailing was the only high-profile company in the country employing refugees in Japan and abroad.

We keep hearing that robots are going to take our jobs, but a company called MindMeld is giving us an idea how with its "Deep-Domain Conversational AI Platform." It'll allow bots that can essentially replace customer service agents and even baristas by answering complicated voice or text queries over Google Assistant, Amazon Echo, Facebook Messenger and other popular platforms. Uniqlo, for one, will offer a Facebook bot that can answer questions about its products, services and retail locations with more detail than ever. The "MindMeld Language Parser" helps it understand and answer questions with "human-like accuracy," whether by talk or text, the company says. It adds that while current AI toolkits from Google, Facebook and others are great, they provide "little data suitable for production-quality applications" -- in other words, they can do deep learning, but don't give companies anything to teach them.