Retail
Google to Pursue Pentagon Cloud-Computing Contract
The three-year contract will be split across multiple bidders. It replaces the 10-year, $10 billion JEDI cloud-computing contract terminated in July, which was planned to consolidate the Pentagon's patchwork of data systems to give defense personnel better access to real-time information and artificial-intelligence capabilities. The Pentagon said the contract was canceled because of its evolving needs. The project was mired in years of squabbling between Microsoft Corp. MSFT 0.26%, which won the bidding, and Amazon.com Inc., AMZN 2.15% which contended the process was politically motivated under the Trump administration.
Visionstate Works with Artificial Intelligence Company
Visionstate Corp. is pleased to announce it has entered into an agreement with Artificial Intelligence company Fluido.ai The first deployment of the new technology will be in a large Canadian-based shopping centre. With the retail sector struggling as it recovers from COVID-19 related business interruptions, supply chain challenges, health and safety concerns, and labour shortages โ Visionstate's VICCI (virtual, interactive, customer care, interface) kiosks with Fluido.ai The touch-free kiosk works without the need for human labour. The chatbot is voice activated and uses machine learning, so the technology improves as more customers interact with it.
Choosing between storage mechanisms for ML inferencing with AWS Lambda
This post is written by Veda Raman, SA Serverless, Casey Gerena, Sr Lab Engineer, Dan Fox, Principal Serverless SA. For real-time machine learning inferencing, customers often have several machine learning models trained for specific use-cases. For each inference request, the model must be chosen dynamically based on the input parameters. This blog post walks through the architecture of hosting multiple machine learning models using AWS Lambda as the compute platform. There is a CDK application that allows you to try these different architectures in your own account.
AI & ML in Advertising
Cadbury is known for its clever use of personalization in advertising. By further combining the brilliance of AI and ML with a touch of human ingenuity this year, it has outdone itself yet again. The confectionary company engaged in co-creation of their latest promotional tool for Diwali by joining hands with the local mom-and-pop stores at the very grassroot level. With the help of geotagging, Cadbury gives them an opportunity to curate their own customized ad which they can further promote using their established internal networks. The best part of the advertisement is to see the brand ambassador, Shahrukh Khan, literally speaking the name of your local corner store.
Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data
Planning the layout of bicycle-sharing stations is a complex process, especially in cities where bicycle sharing systems are just being implemented. Urban planners often have to make a lot of estimates based on both publicly available data and privately provided data from the administration and then use the Location-Allocation model popular in the field. Many municipalities in smaller cities may have difficulty hiring specialists to carry out such planning. This thesis proposes a new solution to streamline and facilitate the process of such planning by using spatial embedding methods. Based only on publicly available data from OpenStreetMap, and station layouts from 34 cities in Europe, a method has been developed to divide cities into micro-regions using the Uber H3 discrete global grid system and to indicate regions where it is worth placing a station based on existing systems in different cities using transfer learning. The result of the work is a mechanism to support planners in their decision making when planning a station layout with a choice of reference cities.
Productive Automation: Robots and Humans as Colleagues
What do you think of when you hear the word automation? None of this is wrong, per se, but we like to add another word when we think about automation: productive. For us, automation is all about giving humans superhero capes. We think about it as a way for productive automated work technologies to amplify humanness and economic productivity. Or, instead of focusing on how automation replaces humans, honing in on how it can improve our work.
The 29 Best Early Black Friday Deals at Best Buy
Many shipping times are already delayed this year due to supply chain issues and labor shortages. It's best to start shopping now for those on your holiday list instead of waiting for the last possible moment. Best Buy started its holiday deals event early, with Black Friday prices guaranteed--if it gets lower, it will refund you the difference. We think that's a pretty good deal. Below are some of our favorite products discounted so far.
Google's Nest devices are on sale on Best Buy ahead of Black Friday
If you want to score Google's Nest devices at a discount before Black Friday arrives, check out Best Buy's sale -- some of them are even available for the lowest price we've seen them sell for across retailers. The Google Nest Audio, for instance, is now listed for $60, which is $40 less than its standard price and is the lowest we've seen for the speaker. In case you missed the chance to purchase the device at that price from B&H Photo in October, here's another chance to do so. The second-gen Google Nest Hub is also on sale for $50, which is only $10 more than what the first-gen Nest Hub goes for these days. We gave the Nest Audio a score of 87 in our review and called it a steal at $100.
Knowledge-driven Site Selection via Urban Knowledge Graph
Liu, Yu, Ding, Jingtao, Li, Yong
Site selection determines optimal locations for new stores, which is of crucial importance to business success. Especially, the wide application of artificial intelligence with multi-source urban data makes intelligent site selection promising. However, existing data-driven methods heavily rely on feature engineering, facing the issues of business generalization and complex relationship modeling. To get rid of the dilemma, in this work, we borrow ideas from knowledge graph (KG), and propose a knowledge-driven model for site selection, short for KnowSite. Specifically, motivated by distilled knowledge and rich semantics in KG, we firstly construct an urban KG (UrbanKG) with cities' key elements and semantic relationships captured. Based on UrbanKG, we employ pre-training techniques for semantic representations, which are fed into an encoder-decoder structure for site decisions. With multi-relational message passing and relation path-based attention mechanism developed, KnowSite successfully reveals the relationship between various businesses and site selection criteria. Extensive experiments on two datasets demonstrate that KnowSite outperforms representative baselines with both effectiveness and explainability achieved.
14 Great Deals on Robot Vacs, Oral Care Gadgets, and More
It's a perfect time to start focusing a little more on self-care. As beautiful fall turns into winter, we tend to hunker down in our houses, getting less sun and fresh air and spending more time under the covers. But between scares, you might want to browse these deals on gadgets that should help make you feel good all around. Special offer for Gear readers: Get a 1-year Subscription to WIRED for $5 ($25 off). This includes unlimited access to WIRED.com and our print magazine (if you'd like). Subscriptions help fund the work we do every day.