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ByteDance's Seed Team recently released the impressive results of the 2025 full subject Gaokao test: the Dou Bao Seed1.6-Thinking model scored 683 in literature and 648 in science, meeting the admission threshold for Tsinghua and Peking University, and performed outstandingly in domestic and international AI model Gaokao tests. The test used the national new volume one and Shandong Province's independent proposition papers, with Dou Bao competing against five other top domestic and international AI models such as Google Gemini 2.5 Pro, DeepSeek R1, and OpenAI o3.

Recently, an intelligent academic research tool called ScholAI has attracted widespread attention. This innovative tool, based on the Multi-Cloud Platform (MCP), integrates functions such as paper search, analysis, management, CCF ranking query, and semantic query analysis, providing researchers with an efficient and intelligent academic research solution. The AIbase editorial team has compiled the latest information from the web to provide you with a comprehensive overview of ScholAI's unique advantages and future potential. Core Features of ScholAI: One

A deep dive into how Eureka AI addresses three major pain points in R&D - information overload, innovation bottlenecks, and evaluation difficulties - through core features such as a technical Q&A assistant and TRIZ theory innovation. It provides end-to-end AI support solutions from concept to implementation.

In the rapid development of technology, the application of artificial intelligence (AI) is becoming more and more widespread. Many people are beginning to look forward to the rise of the "agent" technology. An agent refers to an intelligent program that can work autonomously and accomplish specific goals. Recently, discussions about AI agents have been flourishing, but existing technologies still have a long way to go before achieving true intelligent agents. Imagine if we could have an AI agent capable of automatically writing academic papers. It could delve into learning how to write papers, analyze data, and conduct literature reviews after receiving datasets and research fields...

A recent paper jointly published by Tsinghua University and Shanghai Jiao Tong University challenges the widely held belief that pure reinforcement learning (RL) enhances large model reasoning capabilities. The research found that models incorporating reinforcement learning performed worse than their original counterparts in certain tasks.

In modern scientific research, accessing and discovering relevant literature is crucial for researchers. Therefore, Ai2PaperFinder was created, a powerful tool designed to help users easily find the academic papers they need. The platform brings together over 8 million full-text papers and over 108 million abstracts, offering broad and deep coverage. Ai2PaperFinder's unique strength lies in its powerful literature retrieval capabilities. Users can quickly find relevant research papers by inputting keywords. Whether it's a trending topic or a niche area...

Beijing Shengshu Technology Co., Ltd. announced that its AI video generation platform, Vidu, has secured the rights to adapt seven hit online novel IPs into concept shorts. Vidu will leverage AI technology to empower China's animation and short-form drama market, driving the adaptation of online literature into film and television into a new phase of development.

Recently, a miniature deep-sea multi-modal robot jointly developed by Beihang University, the Institute of Deep-Sea Science and Engineering of the Chinese Academy of Sciences, and Zhejiang University, was successfully published in the top international academic journal Science Robotics. This robot has milestone significance in ocean exploration and scientific research, particularly in deep-sea applications. Measuring less than 50 centimeters long and weighing only 1500 grams, this remarkable robot can perform multi-modal movement at a depth of 10,000 meters. This means it can not only swim, but also glide and crawl, demonstrating exceptional capabilities.

Recently, the Daye City People's Court in Hubei Province issued a verdict in a landmark case involving the use of artificial intelligence (AI) technology to write and profit from pornographic novels. Defendant Ke Mou was sentenced to ten months imprisonment and a fine of 5,000 yuan for the crime of producing, selling, and disseminating obscene materials for profit, and ordered to return his illegal gains. According to the prosecution, from November 2022 to March 2023, Ke Mou, a college-educated online literature author, used an AI program to write pornographic novels and published them on overseas pornographic websites, simultaneously...

With the rapid development of artificial intelligence, AI tools have become increasingly popular among college students for completing reports and essays. According to CCTV News, some university teachers and experts have reported cases of academic misconduct, including fabricating research data, editing experimental images, and substituting original designs. A notice in a university assignment group drew widespread attention, stating that students submitting AI-generated essays would receive a failing grade.

The integration of Tencent Docs with DeepSeek-R1 enables direct generation of PPTs. Users no longer need to switch between complex Markdown formats or multiple software; they simply enter the topic and relevant requirements within Tencent Docs, and DeepSeek-R1 will generate in-depth PPT content. For example, a teacher may want to create a PPT titled 'Having Courage in the New Semester'.

Recently, China National Knowledge Infrastructure announced the official launch of its new knowledge service solution, which integrates the Cognitive Model with DeepSeek. This combination aims to provide users with more precise and comprehensive knowledge answers through its expertise across all disciplines and fields, as well as deep thinking capabilities.

In the field of academic research, literature retrieval is a complex and crucial information acquisition task. Researchers need the capability to handle intricate, domain-specific search queries to meet detailed research requirements. However, existing academic search platforms, like Google Scholar, often struggle to address these complex research queries. For example, queries related to non-stationary reinforcement learning using the UCB method require stronger computational and analytical capabilities. Moreover, researchers typically need to spend a significant amount of time and effort manually browsing extensive academic literature when conducting literature reviews.

In today's digital world, the use of short text has become central to online communication. However, these texts often lack common vocabulary or context, posing numerous challenges for Artificial Intelligence (AI) during analysis. In response, Justin Miller, an English Literature graduate student and data scientist from the University of Sydney, proposed a novel approach that utilizes Large Language Models (LLMs) to gain deeper understanding and analysis of short texts. Miller's research focuses on how to analyze a vast array of short texts, such as social media profiles,

The University of California, Los Angeles (UCLA) will launch a brand new comprehensive literature course in the winter semester of 2025, with all course materials, assignments, and teaching assistant resources generated by artificial intelligence. The course will cover literary content from the medieval period to the 17th century, with all learning materials provided by the Kudu platform, founded by UCLA's physics and astronomy professor Alexander Kusenko. This will be the first adoption of Kudu in the humanities at UCLA.

Shanghai Mita Network Technology Co., Ltd. recently announced significant enhancements to its AI Mita academic search functionality, with data volume increasing sevenfold. This update upgrades the indexing from abstracts to full texts, covering tens of millions of Open Access papers, including approximately 40% of SCI papers and top journal articles from 'Nature', 'Science', and more. This upgrade allows users to comprehensively search and access academic resources, improving research and learning efficiency.