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During the Qingming Festival holiday, Guangxi province implemented an AI-powered traffic model on its highways to manage and alleviate traffic congestion.

Google recently announced the official pricing for its Gemini 2.5 Pro API. For input tokens up to 200,000, the base price is $1.25 per million input tokens, approximately 9.1 RMB; while the price for every million output tokens is $10, approximately 72.9 RMB. For longer texts exceeding 200,000 input tokens, the input price adjusts to $2.50 per million, approximately 18.2 RMB.

Tencent Yuanbao announced a comprehensive upgrade to its "Favorites" feature, offering users a new solution for knowledge management and information review. This upgrade not only optimizes user experience but also significantly expands Yuanbao's functionality, making it a more intelligent and convenient tool.

Infosys has partnered with the ABB FIA Formula E World Championship to launch an AI-powered analytics platform called the "Formula E Stats Centre." This innovative platform aims to provide fans with real-time race insights, enabling a deeper understanding of their favorite teams and drivers. The Formula E Stats Centre leverages Infosys' AI solutions to deliver real-time race data, interactive statistics, and

According to Semafor, Sissie Hsiao, the executive in charge of Google's AI chatbot, is stepping down as head of Gemini applications. An internal memo obtained by the outlet indicates that Josh Woodward, Google's vice president of labs, will assume her role. A Google spokesperson, Alex Joseph, confirmed the change but declined further comment. In the memo, Google DeepMind CEO Demis Hassabis stated that this change will allow...

A group of prominent authors, including Richard Osman, Kazuo Ishiguro, Kate Mosse, and Val McDermid, have signed an open letter calling on the UK government to hold Meta accountable for using copyrighted books in its AI training. The letter requests that the Secretary of State for Culture, Media and Sport, Lisa Nandy, summon Meta representatives to discuss the matter.

Google recently announced the launch of its new open-source model, TxGemma, designed to significantly improve the efficiency of therapeutic drug development. Developed by the Google DeepMind team, this model is a fine-tuned version of their advanced Gemma model family, incorporating powerful natural language understanding, scientific prediction, and multi-turn dialogue capabilities. TxGemma aims to revolutionize drug discovery. Its release is considered a significant advancement in the application of AI to biomedicine, promising to drastically shorten the time it takes for drugs to move from the lab to clinical trials, while also reducing costs.

Researchers at the Hebrew University of Jerusalem recently discovered that in Retrieval Augmented Generation (RAG) systems, the number of documents processed significantly impacts language model performance, even when the total text length remains constant. The research team conducted experiments using 2,417 questions from the MuSiQue validation dataset, each linked to 20 Wikipedia paragraphs. Two to four paragraphs contained relevant answer information, with the remaining paragraphs serving as distractors. To study the impact of the number of documents, the team created multiple data partitions, progressively reducing the number of documents from 20 to...

Google has announced that its latest flagship AI model, Gemini 2.5 Pro, will be available for free to all Gemini app users. This means that high-end features previously only available to Gemini Advanced subscribers for $0.99 per month are now accessible to a wider audience. Google calls Gemini 2.5 Pro its most intelligent AI model yet, boasting significant improvements in reasoning capabilities. The new model supports a variety of functions, including applications and more.

Researchers from Midjourney and New York University have collaborated on a novel approach to significantly enhance the diversity of creative text generated by language models while minimizing quality loss. Detailed in a recent research paper, this technique centers on incorporating a 'deviation metric' into the AI's training process. It works by quantifying the difference between each generated text and other texts created for the same prompt. Researchers utilize text embeddings and their pairwise cosine distances to calculate these differences, thereby providing the system with...