Google says it's implementing AI and machine learning techniques to improve story suggestions in Google Search. In a blog post this morning, the tech giant announced that users in the U.S. in English (with more languages and locations to come in the next few months) who search for a news topic will now see an article carousel at the top of the results page. When there are multiple stories related to a search, each will be organized by relevance and quality in a way that accounts for a diversity of perspectives. "People come to Search for all types of information to help them form a better understanding of the world and the topics they care about most," wrote Google Search product manager Duncan Osborn. "We've continued to bring new improvements to Search to help people better orient themselves around a topic and easily explore related ideas, so they can more quickly go from having a question in mind to developing deeper understanding … Our research has shown that clustering results into clearly-defined stories is critical in helping people easily navigate the results and identify the best content for their needs."
'Tis the season to be knowledgeable! With almost 40 years in the industry, the collective payments expertise of the Ingenico team is unparalleled. In 2019, Authorised Push Payment Fraud (APP Fraud) rose by 40%, costing the UK £616 million. Thanks to PSD2 and Open Banking, we will continue to see more new players in fintech. This is brilliant, but it means fraudsters will inevitably innovate their techniques, too.
The text has been redacted and altered by the BMBF in addition to DW's normal editorial guidelines. As such, the text does not entirely reflect the audio of the interview as recorded on December 5, 2019. DW: We're in Berlin at an "Artificial Intelligence Camp" organized by the Gesellschaft für Informatik and the German Federal Ministry of Education and Research, where you head the department for "Research for Digitalization and Innovation." Artificial intelligence is in your remit. And all the people here are experts in the field.
Whether it be on vacation, at work or at home, we humans in general live comfortable lives. Compared to only one century ago (in contrast to around 200,000 years of existence of homo sapiens) we have much less need for physical labour to sustain life. We have shelter, a soft bed, central heating and a shower. Our food is grown, distributed and cooked using lots of automation. We also have mobile phones.
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Many AI vendor companies offer AI-enabled products and services for pushing more and more products in front of customers. That said, it is not always clear how these solutions determine which products to advertise to which customers. Retailers and other businesses should consider what they need to do to prepare their enterprise for one of these solutions and familiarize themselves with how AI recommendations are built and trained. In this article, we will explain how AI-enabled product recommendations work. We begin our explanation by outlining the data requirements of a company looking to adopt a product recommendation solution.
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SoftBank Group Corp. founder Masayoshi Son unveiled a $184 million initiative Friday to accelerate artificial intelligence research in Japan, enlisting Alibaba's Jack Ma to expound on his goal of commercializing the technology. Son's company announced a partnership with the University of Tokyo that includes spending 20 billion yen ($184 million) over 10 years by mobile arm SoftBank Corp. to establish the Beyond AI Institute. He roped in the Alibaba Group Holding Ltd. co-founder for an on-campus chat, during which the two billionaires discussed their vision for the future of technology. The institute will support 150 researchers from various disciplines and focus on transitioning AI research from the academic to the commercial using joint ventures between universities and companies. Health-care, city and social infrastructure and manufacturing will be the primary areas of focus, SoftBank Corp. said in a statement.
As we approach the "visionary" year of 2020, we took a look at what the New Year has in store for the Digital Advertising industry. Here are key things to watch out for as you plan ahead and finalize your Marketing budgets. Brands have begun to understand the power of advertising on Amazon and the unique opportunity it offers to capture people at the beginning of their purchasing journey. The Opportunity: Brands have flocked to Amazon for its revenue-generating ad capabilities. We expect this trend to continue in 2020 as Amazon refines its offering and advertiser use becomes more sophisticated.
Artificial intelligence is no longer just a buzzword but a massive reality now. It is continuing to transform the user experience for all kinds of digital interfaces including mobile apps, e-commerce stores, and enterprise websites. Artificial intelligence is conceived by many as the great replacement of human intelligence. Let us have no doubt that still human intelligence and power of reasoning are miles ahead of machines and software programs in terms of capacity and effectiveness. So, again, now artificial intelligence is just a value addition that is primarily controlled and maneuvered by humans.