Road network representation learning aims to learn compressed and effective vectorized representations for road segments that are applicable to numerous tasks. In this paper, we identify the limitations of existing methods, particularly their overemphasis on the distance effect as outlined in the First Law of Geography. In response, we propose to endow road network representation with the principles of the recent Third Law of Geography. To this end, we propose a novel graph contrastive learning framework that employs geographic configuration-aware graph augmentation and spectral negative sampling, ensuring that road segments with similar geographic configurations yield similar representations, and vice versa, aligning with the principles stated in the Third Law. The framework further fuses the Third Law with the First Law through a dual contrastive learning objective to effectively balance the implications of both laws. We evaluate our framework on two real-world datasets across three downstream tasks. The results show that the integration of the Third Law significantly improves the performance of road segment representations in downstream tasks.

While Barbenheimer was undoubtedly the biggest movie story of 2023, the year in film was one jam-packed with dozens of truly great movies--not all of which managed to generate the nonstop headlines or mainstream traction that an iconic doll and the "father of the atomic bomb" did. It was a stellar year for first-time directors as well, as evidenced by films like Emily, The Unknown Country, and A Thousand and One. If you've seen Barbie, Oppenheimer, and many of the year's higher-profile movies, here are 15 that you maybe haven't seen that are definitely worth your time. If you buy something using links in our stories, we may earn a commission. This helps support our journalism.

When Curt Garner became Chipotle's first CIO in 2015, the only technology used for online restaurant ordering was, "believe it or not," a fax machine, he says. Seven years later, the Newport Beach, Calif.-based company is piloting a system with a robotic arm dubbed "Chippy" that prepares the fast-casual chain's famed fried salt-and-lime chips homemade every day without human labor, with the aim of tailoring output to the daily needs of each restaurant. "We are using robotic technology to do all the manipulation that a human would be doing in that process," says Garner, noting that "Chippy" is currently in use in only one of Chipotle Mexican Grill's 3,000 stores but use will expand. "We've spent several months in our lab refining the recipes and the processes to make it possible." The former Starbucks CIO didn't waste time jumpstarting the restaurant chain's digital transformation in 2016, applying and evolving his "learnings" from Starbucks to pilot a digital ordering system that would enable Chipotle customers to order online in advance and pick up their food from a drive-through window -- without use of speaker boxes or menu boards typical of drive-through fast-food restaurants. Removing the physical speaker box on site was a simple concept but a key part of a bigger digital transformation Chipotle kicked off in 2018 that led to an explosion in business, in large part because the digital ordering system required less human labor during the pandemic.

Allied Market Research recently published a report, titled, "Automotive Artificial Intelligence Market by Component (Hardware, Software, and Service), Technology (Machine Learning & Deep Learning, Computer Vision, and Natural Language Processing), and Application (Semi-Autonomous and Autonomous): Global Opportunity Analysis and Industry Forecast, 2017 – 2025." The report offers a detailed analysis of top investment pockets, top winning strategies, drivers & opportunities, market size & estimations, competitive landscape, key segments, and changing market trends. According to the report, the automotive AI market was pegged at $445.81 million in 2017 and is anticipated to hit $8.89 billion by 2025, registering a CAGR of 45.0% from 2018 to 2025. Rise in demand for enhanced user experience as well as convenience features and growing demand for autonomous vehicle have fueled the growth of the global automotive AI market. On the other hand, rise in various security & privacy concerns hamper the growth to certain extent.

In supply chain management, globalization, geopolitical forces and increased demand for greater transparency have organizations looking at cutting-edge technology to boost performance and cut risk. Analysts have been discussing some of these technologies for some time. Blockchain, for example, is now a common topic in conversations surrounding supply chain innovation. But here's a technology you may not have expected to also be an up-and-coming focus for the supply chain: chatbots. In corporate finance, chatbots are gaining steam in areas like banking and accounting.

Google began rolling out a feature that gives searchers in the United States the potential to access more relevant and in-depth responses to answers without leaving the page. The concept is built on something the company calls "knowledge graph," which ties together words to create relationships. There are a multitude of sources behind this data. The search results page displays a variety of content related to keyword queries, bringing up a list of facts, photos, and landmarks, as well as quick links to other popular uses for the search term. Think of a Web beneath the user interface layer of the Internet that ties together all information across the Web. Rob Garner, vice president of strategy at agency iCrossing, said Google's knowledge graph takes another step in the company's long transition to develop an artificial intelligence engine -- semantic search.