bookstore
Richard Move Channels Martha Graham
Sign up to receive it in your inbox. Aside from a temporary love, or a new friend, you could easily stumble upon fabulous stage shows that were presented with such seriousness, often, that you wondered if--while watching the amazing Duelling Bankheads, for instance, or so many people who got up so brilliantly as Stevie Nicks on the Night of 1000 Stevies--you were high on the entertainment, or on dancing with your chosen community, or just amazed by what New York had to offer by way of creativity. Looking back, I can see that, for me at least, it was the combination of all three elements together that gave such hope about Manhattan's ability to foster noncommercial glamour, and to support young performers who were trying things out and seeing what stuck. Richard Move as Martha Graham. The shows I loved the most were at Jackie 60, spearheaded by the irreplaceable Chi Chi Valenti and Johnny Dynell, the resident d.j.
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IT firm taps power of ChatGPT with tech-led Tokyo bookstore
As bookstores struggle to survive across the country, a Tokyo-based IT firm has decided to go against the stream by entering the sector. For Freee, an IT firm that provides cloud-based applications to manage back-office tasks, opening Tomei Shoten (transparent bookstore) in Tokyo's Taito Ward last week marked an opportunity to experiment with an unconventional business strategy of disclosing real-time sales while also learning more about running a small-scale business. Due to the rise of e-books and online shopping, the number of bookstores in Japan has been falling for the past decade or so. There were 11,495 such outlets as of March, down 30% from 16,371 in the same month in 2013, according to the Japan Publishing Organization for Information Infrastructure Development. This could be due to a conflict with your ad-blocking or security software.
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Just how big is this new generative AI? Think internet-level disruption
There's this odd feeling that starts at the back of the neck. It feels like the hairs are raising up slightly. The first time I felt it was in the mid-70s. I was in high school. I was sitting in front of an ASR-33 teletype machine and I hit something, probably the RE-TURN key. That's how it was spelled.
What customers (and owners) love about 10 L.A. bookstores
This story is part of Lit City, our comprehensive guide to the literary geography of Los Angeles. Bookstores are wide open again -- the booksellers busy selling, the customers browsing and the house cats doing their thing. In March, staff writers Dorany Pineda and Christi Carras visited 10 shops around town with a photographer in tow -- from a romance bookshop in Culver City and a Black-owned store at the Westfield mall to the Central Library and establishments serving cookbook obsessives, design geeks and others. In the gallery below, customers, employees and owners talk about their favorite shops, books and reading nooks and share what they love about bookish Los Angeles. "Not all romance even has sex, but most of the books that we sell do, and we're trying to promote a very positive environment where it's something that's talked about openly and without judgment, and where there's a real variety represented -- obviously with gender and sexuality," said Leah Koch, co-owner of the Ripped Bodice.
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CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge
Wang, Chenhao, Chen, Yubo, Xue, Zhipeng, Zhou, Yang, Zhao, Jun
In this paper, we present CogNet, a knowledge base (KB) dedicated to integrating three types of knowledge: (1) linguistic knowledge from FrameNet, which schematically describes situations, objects and events. (2) world knowledge from YAGO, Freebase, DBpedia and Wikidata, which provides explicit knowledge about specific instances. (3) commonsense knowledge from ConceptNet, which describes implicit general facts. To model these different types of knowledge consistently, we introduce a three-level unified frame-styled representation architecture. To integrate free-form commonsense knowledge with other structured knowledge, we propose a strategy that combines automated labeling and crowdsourced annotation. At present, CogNet integrates 1,000+ semantic frames from linguistic KBs, 20,000,000+ frame instances from world KBs, as well as 90,000+ commonsense assertions from commonsense KBs. All these data can be easily queried and explored on our online platform, and free to download in RDF format for utilization under a CC-BY-SA 4.0 license. The demo and data are available at http://cognet.top/.
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The 'Amazon effect' is wreaking havoc on the recycling industry
Last year's Cyber Monday was the biggest single shopping day in Amazon's 25 year history, but the company's success has led to problems for the country's recycling industry. The number of annual deliveries through the US Postal Service, Amazon's default delivery method, has doubled over the last decade, going from 3.1 billion in 2009 to 6.2 billion in 2018. The extraordinary growth of cardboard waste from shipping materials has been dubbed'the Amazon effect' at many waste removal and recycling companies. Waste management and recylcing firms have begun to call the enormous growth in packaging materials that end up in the trash as'the Amazon effect' According to a report in The Verge, corrugated cardboard accounts for close to half of the curbside recycling material in New York today, compared to just fifteen percent in 2003. The enormous increase in residential packaging materials has come at the worst possible time, as in 2018 China, formerly the world's largest recycler, began refusing shipments of recyclable cardboard from the US in instances where it was contaminated by .5 percent or more of other material.
Book Recommender with Python
This is an original work submission presented for completion of Udacity's Data Scientist Nanodegree capstone project. This blog shows how to build a Book Recommendation Engine using machine learning techniques, Python and its libraries. The code is structured so it can later be deployed as a web app. The goal of this project is to develop a Book Recommendation engine based on information entered by the user. The project uses a dataset containing six million ratings for the ten thousand most popular books and classified with tags.
Expand the Power of AI with New Data Sources Accenture
Imagine this: an online bookstore aims to deliver more personalized recommendations. Based on internal customer data–collected from registrations, purchases and other direct interactions--the bookstore knows it has 1,000 customers who are between 25 and 35 years old, female, and readers of science fiction novels. Relying only on this data, the most that can be done for this group is personalization based on age, gender, and reading preferences. But what if the bookstore knew that 100 people in this group had recently spent several weekends on mountain bike trails? What if it knew that 300 had liked social media posts related to a musician that had just published a biography?
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We Should Take Hollywood Disaster Movies More Seriously
Former intelligence official Richard A. Clarke says that Earth is virtually defenseless against incoming asteroids, and that an asteroid large enough to level a city could strike with almost no warning. "We do not have a plan for dealing with that," Clarke says in Episode 334 of the Geek's Guide to the Galaxy podcast. "We don't have a rocket or a missile we can fire up right now, certainly not on 48 hours alert, but not even on six months alert." Clarke explores asteroid impact and other future threats in his recent book Warnings: Finding Cassandras to Stop Catastrophes. Many of the scenarios he covers have appeared in Hollywood movies, and that can be a problem when it comes to raising awareness about an issue.
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Ebay sues Amazon, saying it tried to poach its sellers
The first book sold on Amazon was'Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought' by Douglas Hofstadter. Bezos chose the name Amazon in reference to the Amazon River, the biggest river in the world, as he hoped Amazon would be the biggest bookstore in the world. The first book sold on Amazon was titled'Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought' by Douglas Hofstadter. The firm opens up sales of music, movies, consumer electronics, video games, toys and more. The logo is meant to suggest that Amazon sells every kind of product from A to Z.
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