Search AI Products and News

Google's NotebookLM has launched a new feature, "Discover Sources," designed to help users easily access relevant information from the web. As a powerful learning tool, NotebookLM allows users to describe a topic of interest, and the system quickly finds and summarizes relevant web content. Users can easily add these sources to their notebooks with a single click for convenient access and future use. This new feature offers a streamlined and user-friendly experience. Users in Noteboo...

Tencent has recently unveiled GeometryCrafter, a new AI model released via Hugging Face. This model excels at consistent geometric estimation in open-world videos, quickly gaining attention in the tech community. Leveraging diffusion priors, GeometryCrafter opens up new possibilities for deep understanding and processing of video content, offering benefits to creators and researchers alike.

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...

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...

AMD recently announced GAIA, an open-source application designed to provide a highly efficient and localized method for running Large Language Models (LLMs). Currently supporting Windows and optimized for Ryzen AI 300 series processors, GAIA leverages the strengths of these processors for AI tasks. GAIA is a generative AI application enabling private LLM execution on personal computers, ensuring data privacy. Furthermore, GAIA utilizes...

Baidu Research has unveiled BGE-VL, a groundbreaking multimodal vector model poised to revolutionize information retrieval. This advanced model promises significant improvements in search accuracy and efficiency.

On March 6th, the Beijing Academy of Artificial Intelligence (BAAI) announced the open-sourcing of its multimodal vector model, BGE-VL. This achievement marks a significant breakthrough in the field of multimodal retrieval. The BGE-VL model achieves state-of-the-art results on various multimodal retrieval tasks, including image-text retrieval and compositional image retrieval, significantly improving the performance of multimodal retrieval.

Alibaba Tongyi Lab has open-sourced ViDoRAG, a novel visual document retrieval and question answering system. ViDoRAG boasts impressive accuracy, achieving a remarkable 79.4% in benchmark tests. This system represents a significant advancement in the field of computer vision and information retrieval.

Regarding rumors of the premature release of the new DeepSeek AI model R2, a Huafu Quant representative responded that all information should be based on official announcements. It is understood that Huafu Quant established DeepSeek AI in July 2023, and successfully launched the DeepSeek-R1 model this past January.

xAI announced today the official launch of its latest AI model, Grok3, claiming it to be "the smartest AI in the world." The company stated that Grok3 is now available for public trial at no cost until the "servers melt down."

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 multimodal tasks, visual language models (VLMs) play a crucial role, such as in image retrieval, image captioning, and medical diagnosis. These models aim to align visual data with language data for more efficient information processing. However, current VLMs still face significant challenges in understanding negation. Negation is critical in many applications, such as distinguishing between "a room without windows" and "a room with windows." Despite significant progress made by VLMs, existing models fall short when it comes to handling negated statements.

Following the New York Times, the New York Post (NYP Holdings) and the Wall Street Journal (Dow Jones) have recently jointly filed a lawsuit against the AI company Perplexity AI in federal court in Manhattan, accusing it of 'mass illegal copying' of copyright works from these two media outlets. This AI startup, backed by Amazon founder Jeff Bezos, is facing serious copyright infringement charges. The lawsuit demands that Perplexity cease using these news articles to respond to queries.