Socioeconomic bias in society exacerbates disparities, influencing access to opportunities and resources based on individuals' economic and social backgrounds. This pervasive issue perpetuates systemic inequalities, hindering the pursuit of inclusive progress as a society. In this paper, we investigate the presence of socioeconomic bias, if any, in large language models. To this end, we introduce a novel dataset SilverSpoon, consisting of 3000 samples that illustrate hypothetical scenarios that involve underprivileged people performing ethically ambiguous actions due to their circumstances, and ask whether the action is ethically justified. Further, this dataset has a dual-labeling scheme and has been annotated by people belonging to both ends of the socioeconomic spectrum. Using SilverSpoon, we evaluate the degree of socioeconomic bias expressed in large language models and the variation of this degree as a function of model size. We also perform qualitative analysis to analyze the nature of this bias. Our analysis reveals that while humans disagree on which situations require empathy toward the underprivileged, most large language models are unable to empathize with the socioeconomically underprivileged regardless of the situation. To foster further research in this domain, we make SilverSpoon and our evaluation harness publicly available.

How do you know when a customer has experienced that magic moment of falling in love with a product at your store? This is a huge question for retailers of all types, ranging from high-consideration retailers such as fashion and luxury to chain stores selling detergent and soda pop. People exploring the aisles in a grocery store or browsing through blouses in a boutique clothing store give off clues about what they want long before they make a purchase. Perhaps they handle three different sizes of that blouse or examine price tags carefully for competing brands of soda pop. These clues are not always easy for store associates and salespeople to notice, especially in stores where employees are handling a variety of other jobs such as stocking shelves.

Men and women have different shopping preferences, and different strategies are needed to attract them into your store. Even among genders, age is an essential factor. A middle-aged woman, for example, will have a different in-store shopping behavior from a teenage girl. V-Count's Demographic Analysis solutions enable businesses to separate their visitors into groups based on their age and gender data. When you know the demographic profile of your visitors, you are better equipped to provide them with a personalized shopping experience.

Men and women have different shopping preferences, and different strategies are needed to attract them into your store. Even among genders, age is an essential factor. A middle-aged woman, for example, will have a different in-store shopping behavior from a teenage girl. V-Count's Demographic Analysis solutions enable businesses to separate their visitors into groups based on their age and gender data. When you know the demographic profile of your visitors, you are better equipped to provide them with a personalized shopping experience.

Virtual Human Agents (VHA) can assist customers and staff in a multitude of ways. In retail and convenience stores, the AI-powered VHAs will help make shopping easier and more enjoyable on both sides of the counter. Imagine entering a convenience store. It's crowded, and the staff is overworked. You walk around the aisles for a while and finally find the things you need.

Meeting ever-shifting customer demands is essential for businesses to stay ahead in the competition. For efficient and quick deliveries of products, warehouse management systems should be efficient with zero scope of errors. The proliferation of the Internet of Things (IoT) is changing the picture of warehouse management at a fast pace. Using IoT devices like RFID tags and sensors enables warehouse managers to keep track of the exact location and progress of the product. Let's explore how IoT enabled warehouses are radically improving the operational efficiency of their supply chain. At Oodles, we provide supply chain software development services to make supply chain operations seamless and eliminate third-party entities.

Smarter kitchen systems that leverage data, artificial intelligence and IoT can be a salve for the top challenges that restaurants face, while also achieving on top strategic goals for tech investments. Data from Hospitality Technology's 2019 Restaurant Technology Study indicates that 38% of restaurants were looking to increase investments in kitchen management software. Technology that allows staff to be more efficient and accurate, while freeing them from menial tasks, is a top strategic goal for tech investments and leveraging these solutions in the flow of operations from the kitchen is a vital step. Many kitchens are still using traditional technology and sticking receipts in a line, observes Revel Systems. This is not an effective strategy, with an increasing number of orders from multiple channels.

The key ingredient, the experts say, is 5G. It gives developers the ability to scale up projects more easily because there's no need to build extensive fiber-optic networks to keep data flowing. What's more, 5G networks let internet-connected devices transmit much more information much more quickly--which in turn is spurring developers to come up with more advanced machines that can take maximum advantage of the capability. "5G in the field, in real-world deployments, enhances the value of all these other technologies," says Bill Menezes, a senior principal analyst at information-technology research and advisory firm Gartner Inc. Here's a look at early examples of what is possible when these technologies are yoked together: In the food industry, AI is already being used to track supply chains and ingredient quality, sort produce and even create taste profiles to target specific demographics. And the technology is poised to take on ever more complex tasks as it links up with 5G and networks of online-capable devices known as the Internet of Things.

Walk into the Decathlon sporting goods store on Market Street in San Francisco and you will find yourself face to face with Tally. She is tall and slender, and has a winning smile--she smiles with her eyes. She is gentle and considerate: if you get in her way, she will quietly glide around you without complaining. She is extremely intelligent and highly efficient: as she moves up and down the aisles, she takes a real-time inventory of the products on the shelves and racks, checking which products are running low or out of stock, and whether they are labeled with the correct price. She can read RFID tags, but she can also use AI-powered image recognition to distinguish different products at a glance.

Robots have transcended the realm of sci-fi fantasy and are now making revolutionary waves in several industries. Industries that deal with complex, life-threatening tasks have been enjoying tremendous benefits from robots. From being controlled by a human operator to now being fully autonomous, robotics has vastly grown. Equipped with cutting-edge technologies, some robots today are designed such that they closely emulate human intelligence, in one form or another. Due to this, we see the use cases of robots in areas that need human intelligence and decision-making capabilities.