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Many universities are prohibiting the use of AI to write papers. This raises questions about the future of academic integrity and how students will navigate the challenges of AI in their studies.

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...

On March 17, Beijing Shengshu Technology Co., Ltd. announced that its video large model product, Vidu, has reached a strategic cooperation with Aura Productions, a renowned American animation studio, to jointly create the first overseas AI-original sci-fi anime series. This collaboration marks the formal integration of AI technology into the anime production workflow, setting a precedent for AI video generation platforms to participate in the creation of anime shorts and propelling the animation industry into a new AI-driven era.

A revolutionary AI tool transforms complex arXiv papers into easily digestible blog posts, drastically improving research efficiency and accessibility.

At the recent AI Action Summit held at the Grand Palais in Paris, Stanford researcher and founder of AI4Science, Fei-Fei Li, delivered the opening speech. Her address garnered widespread attention, addressing the regulation of artificial intelligence, commercial ecosystems, and its far-reaching societal impacts. Li emphasized that the future of AI should be built on a scientific foundation rather than exaggerated sci-fi narratives. She called on nations to invest in a healthier and more diverse AI ecosystem, asserting that the academic community and the public play a crucial role in this process.

Fei-Fei Li, a Stanford University computer scientist and founder of a startup, known as the 'Godmother of AI,' has proposed the 'three fundamental principles for future AI policy making' ahead of the upcoming Paris AI Action Summit next week. She emphasizes that AI policies must be based on 'science rather than science fiction.' Li believes that policymakers should focus on the realities of AI, rather than constructing grand future scenarios built on utopia or apocalyptic visions. She specifically points out that chatbots and co-pilot programs are not 'intelligent agents with intent, free will, or consciousness.'

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.

In recent years, with the rapid development of artificial intelligence technology, the online science fiction and fantasy magazine 'Clarkesworld' is facing unprecedented challenges. The magazine's founder, Neil Clarke, realized as early as the end of 2022 that some submissions seemed somewhat 'strange'. Image source note: Image generated by AI, image licensed by service provider Midjourney. With the launch of OpenAI's widely popular ChatGPT, this situation has worsened, leading him to...

The alphaXiv platform was founded by Stanford University students Rehaan Ahmad and Raj Palleti to enhance the discussion and evaluation of arXiv preprint papers. By slightly modifying the arXiv paper URL, users can directly access the discussion page of the paper on alphaXiv, allowing for side-by-side display of the original text and comments, facilitating reading and discussion simultaneously. The platform features an intuitive commenting system, direct participation of authors in discussions, paper search functionality, showcase of popular topics, and a Chrome extension for users.

Google has launched Illuminate, an innovative tool that transforms academic papers into engaging audio podcasts using the language model Gemini. Users can easily absorb knowledge through this platform, especially suitable for learning during fragmented time. Illuminate supports classic computer science papers and offers features like fast forward, rewind, and playback speed adjustment for convenient sharing. Currently, its functions mainly target English content, and it does not provide downloads or subtitles, but there are hopes for further optimization of user experience in the future.

Researchers at Binghamton University in New York, led by Ahmed Abdeen Hammed, have developed a machine learning algorithm called xFakeSci that can identify fabricated academic papers with up to 94% accuracy. Hammed and his team created 50 fake papers on topics including Alzheimer's disease, cancer, and depression, and conducted comparative analyses with genuine papers. They found that the number of bigrams in the fake papers was significantly lower than in the real papers, and the relevance of the content was much stronger. Hammed plans to expand the algorithm to more fields in response to A

AI academic search engine Consensus has completed a $11.5 million Series A funding round led by Union Square Ventures, aiming to accelerate academic search efficiency. It has a database of over 200 million papers covering all fields of science and academia, supporting various search methods, including keywords, conceptual associations, and Q&A. It uses custom language models to re-rank search results, providing the top 20 most relevant entries. It integrates features like citation generation and supports integration with tools like Zotero, catering to students and researchers.

The academic community is currently facing a controversy over data usage rights, as many academic publishers begin to package and sell research paper data to technology companies for training AI models. This action has sparked widespread discussion. Deals between Taylor and Francis and Microsoft, as well as Wiley and another company, have led to academic achievements being used to enhance AI systems. This practice has caused waves in the research community. Experts point out that once papers are used for training, it is difficult to remove them later, and the widespread acquisition of datasets enables AI models to learn and generate high-quality text.