Google has injected AI features into practically all of its products, now including Chrome. At Google I/O, the tech giant's annual event, Google announced that Gemini is coming to Chrome as it transitions into the generative AI era, antitrust issues be damned. Gemini's integration with the browser means users can ask questions about information on sites, or even navigate to those sites, while browsing the web. Gemini on Chrome will be available to Chrome users on Windows and macOS, but only for paying subscribers to Google AI Pro and AI Ultra plans, which cost 20 and 250 a month, respectively. Meanwhile, Google is in the remedial phase of its antitrust case, which the U.S. Department of Justice is prosecuting. Google has been ruled a monopoly for leveraging its Chrome browser in anti-competitive ways.

Google's latest shopping feature makes Cher Horowitz's computerized closet a reality. The new virtual try-on tool within its "AI Mode" search option lets users see how outfits look on photos of themselves. Announced during the opening keynote at Google I/O 2025 on Tuesday, the tool uses a new custom image-generation model to place clothing pictured in online product listings onto a full-length shot provided by the user. Per a company blog post, the model "understands the human body and nuances of clothing -- like how different materials fold, stretch and drape on different bodies." According to Google, it will also be able to accommodate different poses.

You already know Google Translate, but what about live voice translation in Google Meet? This feature is one of the major Workspace announcements Google shared at its annual I/O event on Tuesday. Starting today, Google is rolling out real-time speech translation in Google Meet for subscribers of its AI Premium plan. When a user on a Google Meet video call turns on this feature, an AI audio model uses their speech to live translate what they're saying into another language. Google is starting with English and Spanish, with more languages coming in the next few weeks.

Google just cracked open the future of search, and it talks back. During today's Google I/O 2025 keynote event, Google announced that it is now rolling out the AI Mode search tool to everyone in the United States. Powered by Gemini, AI Mode will now include new "Deep Search" features and some agentic capabilities. AI Mode represents the biggest shift in Google Search since its inception. It's no longer just a place to find links.

Graph Neural Networks (GNNs) often perform better for high-degree nodes than low-degree nodes on node classification tasks. This degree bias can reinforce social marginalization by, e.g., privileging celebrities and other high-degree actors in social networks during social and content recommendation. While researchers have proposed numerous hypotheses for why GNN degree bias occurs, we find via a survey of 38 degree bias papers that these hypotheses are often not rigorously validated, and can even be contradictory. Thus, we provide an analysis of the origins of degree bias in message-passing GNNs with different graph filters. We prove that high-degree test nodes tend to have a lower probability of misclassification regardless of how GNNs are trained. Moreover, we show that degree bias arises from a variety of factors that are associated with a node's degree (e.g., homophily of neighbors, diversity of neighbors). Furthermore, we show that during training, some GNNs may adjust their loss on low-degree nodes more slowly than on high-degree nodes; however, with sufficiently many epochs of training, message-passing GNNs can achieve their maximum possible training accuracy, which is not significantly limited by their expressive power. Throughout our analysis, we connect our findings to previouslyproposed hypotheses for the origins of degree bias, supporting and unifying some while drawing doubt to others. We validate our theoretical findings on 8 common real-world networks, and based on our theoretical and empirical insights, describe a roadmap to alleviate degree bias.

Self-driving cars may need to act more like humans, new research has found. A study published in the Proceedings of the National Academy of Sciences found autonomous cars with a greater focus on being "socially sensitive" would prove safer. What does being socially sensitive mean? In short, it seems that it's driving more like a person. The researchers found that autonomous vehicles would be safer if programmed to "incorporate ethical considerations" and focus on protecting more vulnerable people on the road such as pedestrians or cyclists.

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TL;DR: Sterling Stock Picker has an AI that helps you invest in the stock market, and it's only A 86 for life. The stock market has been especially volatile lately, but that doesn't mean you have to wait to invest. A new specialized AI from the creators of ChatGPT has been trained on the stock market to help you invest your money safely, even in a chaotic market. Sterling Stock Picker can help you determine which investments are worth the money, and a lifetime subscription is even on sale for A 86 (reg. Sterling Stock Picker uses AI-driven tools to help simplify the investing process for beginners and experienced investors alike.

If you like Google's AI services (and I mean really like them), there's a new subscription for you. At its Google I/O keynote event (and in a company blog post), Google revealed that a new AI subscription plan for professionals is ready to roll out in the United States. The new Google AI Ultra subscription is intended for the hardest of hardcore AI users, and it costs a whopping 250 a month. Yes, you read that right: Two hundred and fifty U.S. dollars per month. While business owners and professionals may be used to paying for Google Workspace access, the average user is probably not accustomed to paying for Google services.