Why is Anthropic sponsoring an exhibition about Monet? Shower thoughts are typically best left in the shower. Such as: What might Claude the AI chatbot have to say about Claude Monet? Earlier this month, San Francisco's de Young Museum unveiled its newest exhibition, "Monet and Venice," which is dedicated to the impressionist painter's beautiful and meditative canvases of the floating city. And Anthropic, perhaps having seized on a marketing opportunity, is one of the show's lead sponsors.

Video story interaction enables viewers to engage with and explore narrative content for personalized experiences. However, existing methods are limited to user selection, specially designed narratives, and lack customization. To address this, we propose an interactive system based on user intent. Our system uses a Vision Language Model (VLM) to enable machines to understand video stories, combining Retrieval-Augmented Generation (RAG) and a Multi-Agent System (MAS) to create evolving characters and scene experiences. It includes three stages: 1) Video story processing, utilizing VLM and prior knowledge to simulate human understanding of stories across three modalities. 2) Multi-space chat, creating growth-oriented characters through MAS interactions based on user queries and story stages. 3) Scene customization, expanding and visualizing various story scenes mentioned in dialogue. Applied to the Harry Potter series, our study shows the system effectively portrays emergent character social behavior and growth, enhancing the interactive experience in the video story world.

Epic Games, the developer of the hugely successful video game Fortnite, has revealed it's raised $144 million (£109.5 million) for Ukraine. In conjunction with Microsoft's Xbox, the firm had pledged to donate all of its proceeds from the game to Ukraine relief efforts for two weeks, starting March 20. The total will fund humanitarian relief efforts led by several charities to help Ukrainian people affected by the ongoing war with Russia, Epic Games said. These charities include UNICEF, Direct Relief, the United Nations High Commissioner for Refugees and the World Food Programme. Fornite's Twitter page posted: 'Our deepest thanks to everyone who joined us in supporting humanitarian relief efforts for people affected by the war in Ukraine.

The AIIDE Playable Experiences track celebrates innovations in how AI can be used in polished interactive experiences. Four 2016 accepted submissions display a diversity of approaches. Rogue Process combines techniques for medium-permanence procedurally generated hacking worlds. Elsinore applies temporal predicate logic to enable a time-traveling narrative with character simulation. A novel level generator uses conceptual blending to translate Mario Bros. design styles across levels. And Bad News uses deep simulation of a town and it's residents to ground a mixed-reality performance.

Did you know Neural is taking the stage this fall? Together with an amazing line-up of experts, we will explore the future of AI during TNW Conference 2021. NASA has added a pair of interactive experiences to the enthralling array of sights and sounds generated from the Mars 2020 mission. The new tools let you explore the planet from the comfort of your home. In one, called "Explore with Perseverance," you can follow the voyage of NASA's car-shaped rover through a 3D simulation of the planet.

Following the release of the 2020 State of Enterprise Machine Learning report, we created an interactive data visualization so anyone can explore the survey data, conduct analysis, and see how a company's machine learning efforts compare to others like it. The State of Enterprise Machine Learning (ML) experience shares eight questions that were posed in our survey and the associated results. After exploring the data, download the full report to read our assessments and predictions about where ML development is headed. Our report shares findings from nearly 750 survey respondents whom we polled in the fall of 2019. However, if you want to see how other companies of a similar size to yours are using machine learning, the interactive experience allows you to test your own hypotheses and arrive at findings tailored to you.

For some time, leaders of technology-enabled health-care institutions--and today, that means practically all health-care institutions--have been anticipating the potential impact that artificial intelligence (AI) will have on the performance and efficiency of their operations and their talent. But in reality many, if not most, have already been reaping the benefits of AI tools, which are improving many activities in health-care institutions, from enhancing oncological diagnosis accuracy to reducing time spent scheduling patient visits. In a survey conducted by MIT Technology Review Insights, in association with GE Healthcare, more than 82% of health-care business leaders report that their AI deployments have already created workflow improvements in their operational and administrative activities--giving clinicians time back to work with their patients more closely, and with more insight. This report, alongside an interactive experience on technologyreview.com, is the conclusion of our survey of more than 900 health-care professionals in the US and the UK.

Many intelligent systems currently interact with others using at least one of fixed communication inputs or preset responses, resulting in rigid interaction experiences and extensive efforts developing a variety of scenarios for the system. Fixed inputs limit the natural behavior of the user in order to effectively communicate, and preset responses prevent the system from adapting to the current situation unless it was specifically implemented. Closed-loop interaction instead focuses on dynamic responses that account for what the user is currently doing based on interpretations of their perceived activity. Agents employing closed-loop interaction can also monitor their interactions to ensure that the user responds as expected. We introduce a closed-loop interactive agent framework that integrates planning and recognition to predict what the user is trying to accomplish and autonomously decide on actions to take in response to these predictions. Based on a recent demonstration of such an assistive interactive agent in a turn-based simulated game, we also discuss new research challenges that are not present in the areas of artificial intelligence planning or recognition alone.

When you enter Star Wars: Galaxy's Edge, the 14-acre expansion coming to Disneyland early this summer, you are faced with a choice. Walk around a bend -- and under an archway crafted to look centuries old -- to discover the starship the Millennium Falcon, nestled comfortably under hand-sculpted mountains designed to evoke the petrified forests of New Mexico. Or wander into a marketplace, one inspired by Moroccan and Turkish bazaars. Intergalactic creatures are said to live in the ramshackle, factory-like apartments above the shops, here presented as stalls, creating a cacophony of life and noise. Consider this the "Star Wars" equivalent of Main Street, U.S.A, but instead of quaint stores there are mysterious cat-like creatures in cages and toys that feel patched together from found parts. If you bypass the town you'll enter a forest where the Resistance, the "good guys" in the "Star Wars" universe, have set up a camp, hiding ships among shrubbery and building a base inside alien ruins -- a twisting cave where digital schematics clash with remnants of a long-lost civilization.

Recent technological innovations have opened up avenues for retail transformation at an unprecedented pace. With the rapid ascendancy of the Internet of Things (IoT), Artificial Intelligence (AI), Augmented Reality (AR), Virtual Reality (VR), Smart Sensors, Blockchain, Chatbots, and much more, retailers are often left paralysed by the daunting task of navigating through today's labyrinth of technology. Therefore, as retailers stand on the precipice of a new year of technological discovery, it is hardly surprising that so many have chosen to spend time demystifying the existing technology landscape before allowing themselves to be seduced by the next wave of innovation. While the upcoming year will not be without its fair share of technology breakthroughs, many retailers are starting to press the proverbial pause button in order to better understand the value of prior investments, distinguish hype from reality, and find creative ways of translating the infinite possibilities of digital technology into meaningful and scalable human experiences. As retailers embark on this journey two questions will dominate: how do we eliminate the siloes between different technologies to create entirely new integrated realities; and, how can we better align human and technological capabilities in ways that enhance the value of both assets?