Cosmos Institute has announced a program aimed at cultivating a new generation of tech talent and entrepreneurs, focusing on fostering individuals who can think deeply and uphold humanistic values in the age of artificial intelligence. The founding members of the institute include Jack Clark of Anthropic and former Department of Defense technology expert Brandon McCall. The core goal is to create AI technologies that respect human dignity and mitigate the negative impacts of automation. The institute has established the 'Human-Centered AI Lab' at the University of Oxford, led by philosopher Philip Kouroupos, with the aim of integrating philosophical principles.

AMD announced that it has officially completed the acquisition of Silo AI, one of Europe's largest private artificial intelligence laboratories. The transaction is valued at approximately $665 million, equivalent to around 4.77 billion yuan based on the latest exchange rate, and AMD will pay the entire amount in cash.

With significant advancements in text-to-video generation technology, how to generate semantic and temporally consistent audio content from video input has become a hot topic among researchers. Recently, the research team from Tencent's AI Lab has launched a new model called "Implicit Alignment Video to Audio Generation" - VTA-LDM, which aims to provide an efficient audio generation solution.Project Access: https://top.aibase.com/tool/vta-ldm The core concept of the VTA-LDM model is to use impli

Recently, Tencent AI Lab has introduced a new multi-agent framework called "TRANSAGENTS", specifically designed for translating ultra-long literary content. This framework is set to revolutionize the field of literary translation, offering readers enhanced cross-cultural reading experiences.This virtual translation publishing company simulates the real translation process, including roles such as senior editors and junior editors, to achieve more precise and efficient literary translation. It is

Shanghai AI Lab, together with Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, has released the medical multimodal foundational model group 'PuYi 2.0'. PuYi 2.0 adds multi-domain models and incremental language parameters, covering various data modalities such as medical images, medical texts, and bioinformatics. New open-source datasets include the medical image segmentation dataset SA-Med2D-20M and the pathology dataset SNOW. PuYi 2.0 incorporates an evaluation module to provide reference implementations for medical model capabilities, delivering a one-stop open-source solution for large medical models.

Mars is collaborating with Microsoft to establish an AI lab at its U.S. headquarters to optimize operations and predict taste trends. The lab will serve as a dedicated space for employee innovation and collaboration, enhancing production efficiency and sustainability. Accenture and Mars plan to create a cloud platform in two years to develop a 'Factory of the Future' aimed at improving production efficiency and achieving sustainability goals. This collaboration deepens Mars's application of artificial intelligence, with digital technology driving supply chain intelligence and increasing transparency and visibility.

Infosys will expand its collaboration with Google Cloud to co-create a global generative AI lab. Infosys will train 20,000 practitioners to utilize Google Cloud's generative AI solutions. The partnership aims to build revolutionary AI platforms and industry solutions. Infosys is actively leveraging AI to provide business solutions for clients. The generative AI capabilities of Google Cloud, combined with the strengths of Infosys, can drive enterprise AI transformation.

1. Pu Yu Ling Bi enables fluent bilingual (Chinese and English) interactions with images, accurately understanding image content and demonstrating a profound knowledge of Chinese culture. 2. Pu Yu Ling Bi unlocks a new creative ability for rich text and imagery articles, allowing users to generate articles with images by simply providing a topic. 3. Pu Yu Ling Bi employs a 'three-step' algorithmic process for creating image-text articles: generating text, planning illustrations, and intelligently selecting images. 4. In evaluations across several mainstream multimodal models, Pu Yu Ling Bi consistently performs at a leading level, particularly excelling in Chinese multimodal understanding. 5. Pu Yu

Shanghai AI Lab has released the large model training toolbox XTuner, which supports various hardware adaptations, significantly lowering the training cost barrier. XTuner is compatible with multiple open-source large models and can execute tasks such as incremental pre-training and instruction fine-tuning. XTuner balances usability and configurability with a built-in standardized process for one-click training.

Large model hallucinations can be mainly divided into three categories: those that conflict with input, context, and facts. Compared to traditional models, large model hallucination evaluation faces new challenges such as large data scales, strong generalizability, and subtlety. Mitigating hallucinations can be approached from pre-training, fine-tuning, and reinforcement learning, but reliable evaluation remains a challenge. Overall, the evaluation and mitigation of large model hallucinations require further research to promote the practical application of large models.

Shanghai AI Lab, in collaboration with the Corpus Data Alliance, has open-sourced the 'Shusheng・Wanjuan' 1.0 multi-modal pre-trained dataset, which includes text, images, and video datasets, totaling over 2TB. The dataset has undergone fine-grained cleaning and deduplication, featuring multi-dimensional integration, meticulous processing, and ease of use. The release of this open-source dataset will help promote the application and innovation of large models and lower the technical barriers associated with large model technologies.

A research paper from NetEase Interactive Entertainment AI Lab titled 'General Image-to-Image Translation with One-Shot Image Guidance' has been accepted by the prestigious International Conference on Computer Vision (ICCV) 2023.