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Consumer Products & Services

How Is Artificial Intelligence Transforming the Food Industry?


Some people call this Artificial Intelligence (AI), but the reality is this technology will enhance us. So instead of AI, I think we'll augment our intelligence, quoted by Ginni Rometty, CEO (Chief executive officer) of IBM. The business of selling food to customers is being disturbed to a level not since the last pandemic, over 100 years ago. So, it's not true that the crisis accelerated the adoption of technology in the manner that is occurring today with Artificial Intelligence (AI) in the food industry. It is increasingly possible that our food system was ill-prepared (antifragile) for this Covid-19 induced crisis.

Global Big Data Conference


Getting the software right is important when developing machine learning models, such as recommendation or classification systems. But at eBay, optimizing the software to run on a particular piece of hardware using distillation and quantization techniques was absolutely essential to ensure scalability. "[I]n order to build a truly global marketplace that is driven by state of the art and powerful and scalable AI services," Kopru said, "you have to do a lot of optimizations after model training, and specifically for the target hardware." With 1.5 billion active listings from more than 19 million active sellers trying to reach 159 million active buyers, the ecommerce giant has a global reach that is matched by only a handful of firms. Machine learning and other AI techniques, such as natural language processing (NLP), play big roles in scaling eBay's operations to reach its massive audience. For instance, automatically generated descriptions of product listings is crucial for displaying information on the small screens of smart phones, Kopru said.

Can cobots transform the agriculture industry? - Tech Wire Asia


Robots in agriculture are becoming increasingly used by the industry today. An example would be the multiple analytics and machine learning tools used in smart farming to help with predicting harvests. One of these tools, agriculture robots, are normally used collaboratively (known as cobots). These robots possess mechanical arms and make harvesting much easier for farmers. Compared to traditional industrial robots and machinery, cobots are designed to work alongside human employees, giving manufacturers the benefits of both robots and humans combined.

Europe's 100 hottest young scaleups of 2021


The Tech5 talent search is back again. We scoured, measured, and assessed scaleups from all corners of the continent to bring you the top 100 for 2021. Based on performance, growth, and potential, these companies have proven they have what it takes to join the exclusive Tech5 community. And just what does that mean? The Tech5 community is a network of top European founders designed to help them connect, get access to bespoke events, and gain media exposure.

Personalizing Price With AI: How Walmart, Kroger Do It


Who invests a database worth of intelligence into the price of a chocolate bar? Turns out, it could be more than half of all retailers. In 2020, 58% of top retailers said they planned to implement some form of AI pricing technology by the end of 2021, according to research conducted for Revionics, a pricing technology company. That compares with 34% in 2020. It's likely they are implementing the technology as pandemic-related inventory delays cause customer-infuriating price hikes: 90% of shoppers said in a recent survey that they plan to switch brands, seek lower prices or cut back on discretionary spending because of higher prices.

The Morning After: Amazon's 'Just Walk Out' tech comes to Whole Foods


Amazon, the owner of Whole Foods, is finally bringing the sort of high-tech features we were expecting to the nationwide grocery chain. Its cashierless Just Walk Out tech will soon arrive in two Whole Foods locations, after starting off in Amazon's own Go grocery stores. Just Walk Out uses computer vision, sensors and AI to let you walk into a store, sign in with an app, fill up your bags and leave without joining a checkout line or scanning your items. I've tested out the systems at my local Amazon Fresh, and I'll begrudgingly admit, it's magical. It's not my go-to grocery store, so I usually only pick up an item or two.

What Databricks's $1.6 billion funding round means for the enterprise AI market


The latest winner of the growing interest in enterprise AI is Databricks, a startup that has just secured $1.6 billion in series H funding at an insane valuation of $38 billion. This latest round of investment comes only months after Databricks raised another $1 billion. Databricks is one of several companies that offer services and products for unifying, processing, and analyzing data stored in different sources and architectures. The category also includes Snowflake, which made a massive IPO last year and has a market cap of $90 billion, and, another enterprise AI company that went public last year. Why are investors enamored with companies like Databricks?

High Utility Itemset Mining with a Taxonomy


Today, I will talk about discovering interesting patterns in data, what is called pattern mining, and in particular about how the concept of taxonomy can be useful to find interesting patterns. There has been a lot of research on pattern mining over the years to find various types of interesting patterns in data, and numerous algorithms have been designed for that. To explain the interest for taxonomies in finding patterns, I will talk about a classical problem in pattern mining called high utility itemset mining. High utility Itemset mining aims at searching in data to find itemsets (sets of values) that have a high importance as measured by a utility function. There are many applications of this problem, but let me illustrate it with shopping data as it is a popular example.

Survey XII: What Is the Future of Ethical AI Design? – Imagining the Internet


Results released June 16, 2021 – Pew Research Center and Elon University's Imagining the Internet Center asked experts where they thought efforts aimed at ethical artificial intelligence design would stand in the year 2030. Some 602 technology innovators, developers, business and policy leaders, researchers and activists responded to this specific question. The Question – Regarding the application of AI Ethics by 2030: In recent years, there have been scores of convenings and even more papers generated proposing ethical frameworks for the application of artificial intelligence (AI). They cover a host of issues including transparency, justice and fairness, privacy, freedom and human autonomy, beneficence and non-maleficence, freedom, trust, sustainability and dignity. Our questions here seek your predictions about the possibilities for such efforts. By 2030, will most of the AI systems being used by organizations of all sorts employ ethical principles focused primarily on the public ...

Amazon tests its "Just Walk Out" shopping tech at two Whole Foods stores


Amazon on Wednesday said it's bringing its "Just Walk Out" shopping technology to two Whole Foods stores, giving it an opportunity to test the cashierless payment system in a larger retail space. Next year, with the system in place at stores in Washington, DC, and Sherman Oaks, Calif., shoppers will have the option to skip the checkout line. Amazon acquired Whole Foods for $13.7 billion in 2017. Meanwhile, the tech giant first introduced the "Just Walk Out" system at its first Amazon Go store in 2016. The system uses computer vision, sensor fusion and deep learning to eliminate checkout lines.