The app reads your email inbox and your meeting calendar, then gives you a short audio summary. It can help you spend less time scrolling, but of course, there are privacy drawbacks to consider.

China's OpenClaw Boom Is a Gold Rush for AI Companies Hype around the open source agent is driving people to rent cloud servers and buy AI subscriptions just to try it, creating a windfall for tech companies. George Zhang thought OpenClaw could make him rich, even though he didn't really understand how the viral AI agent software worked. But he saw a video of a Chinese social media influencer demonstrating how it could be deployed to manage stock portfolios and make investment decisions autonomously. Zhang, who works in cross-border ecommerce in the Chinese city of Xiamen, was intrigued enough that he decided to try installing OpenClaw in late February. Zhang is one of the many people in China who got swept up in the craze over OpenClaw recently.

"Ask Maps," rolling out today to Google Maps on mobile, lets you ask Gemini questions about locations and even to plan trips on your behalf. There's a new button in Google Maps: "Ask Maps." Google started rolling out this new generative AI feature today, a conversational, in-app tool that combines data from Maps with a user experience similar to the company's Gemini chatbot. It's designed to answer questions about locations and schedule routes in the navigation app. This is part of Google's overall strategy of adding Gemini to all its products.

Whole slide image (WSI) analysis is gaining prominence within the medical imaging field.

From small publishers to US federal agencies, websites are reporting unusual spikes in automated traffic linked to IP addresses in Lanzhou, China. For a brief moment in October, Alejandro Quintero thought he had made it big in China . The Bogotá-based data analyst owns and manages a website that publishes articles about paranormal activities, like ghosts and aliens. The content is written in "Spanglish," he says, and was never intended for an Asian audience. But last fall, Quintero's site suddenly began receiving a large volume of visits from China and Singapore.

The long-tailed distribution is the underlying nature of real-world data, and it presents unprecedented challenges for training deep learning models.

We generate a set of diverse expert models via hypernetworks to cover all possible distribution scenarios, and optimize the model ensemble to adapt to any test distribution. Crucially, in any distribution scenario, we can flexibly output a dedicated model solution that matches the user's preference.