In the rapid advancement of artificial intelligence, an international research team is paving the way for the development of AI language models in Europe. They have launched a project called MOSEL (Massive Open-source compliant Speech data for European Languages), creating a comprehensive open-source voice dataset for the 24 official languages of the European Union. This initiative aims to promote the development of open AI language models in Europe, challenging the current dominance of English.

During the recently concluded MTV Video Music Awards (VMAs), viewers were not only captivated by the star-studded performances but also by the stunning outfits. To allow fans to replicate these red carpet looks, Paramount partnered with tech company Shopsense AI to launch a new technology. This technology gives viewers the chance to snap photos of outfits they love during the live show and find similar clothing through the Shopsense system.

Apache Cassandra 5.0 has officially been released, significantly enhancing data management efficiency and introducing AI features and performance optimizations. Key updates include the new Storage-Attached Index (SAI) functionality, allowing for more flexible and efficient non-primary key queries, simplifying the use of secondary indexes, and reducing system load. This version also introduces vector search and vector data types, supporting AI and machine learning projects, enhancing the performance of applications such as recommendations, fraud detection, and image recognition. The unification of compression strategies and the introduction of new data structures further improve data processing.

In the context of rapid developments in artificial intelligence, Baidu Tieba's 'Stupid Bar' has unexpectedly become an important data source for AI training, challenging traditional perceptions of high-quality data. This community, known for its absurd and humorous content, has outperformed well-known platforms in tests such as Q&A and brainstorming, making it one of the most popular AI training databases. Research shows that the conversational and multi-turn Q&A data from 'Stupid Bar' helps AI come closer to human communication styles. While AI has limitations in understanding human humor, the jokes from 'Stupid Bar' feature tight logic, rich rhetoric, and strong...

Neo4j has introduced a significant upgrade to its fully managed cloud graph database service AuraDB, greatly enhancing usability and data processing efficiency, achieving a 15-fold improvement in data reading capability. The upgraded version introduces a generative AI assistant that uses OpenAI’s large language model to provide real-time query optimization, explanations, and suggestions, helping users quickly extract data insights by generating Cypher query code with just natural language questions. Additionally, the new NeoDash tool allows users to operate without coding.

In modern relational databases, Cardinality Estimation (CE) techniques are crucial for optimizing query execution plans, directly affecting query efficiency and database performance. Traditional cardinality estimation methods are based on simplified assumptions and often perform poorly on complex query predictions, whereas learning-based CE models can provide more accurate predictions but face challenges such as long training times, requirement of large amounts of data, and lack of systematic evaluation. To address this challenge, the Google research team has launched the CardBench benchmarking framework, integrating over 20 real-world databases and thousands of queries.

Runway secretly removed the codebase of Stable Diffusion v1.5 from the Hugging Face platform, sparking significant concern in the tech community. This action was taken without notifying Hugging Face or community members, leaving developers and researchers dependent on these resources in a difficult position. Stable Diffusion v1.5 was a key part of a research project involving Runway, but was ultimately taken down due to copyright issues. Runway's....

Researcher Naphtali Deutsch discovered that hundreds of open-source large language model (LLM) building servers and dozens of vector databases are leaking large amounts of sensitive information. This problem arises from companies neglecting the security of related tools in their haste to integrate AI into their workflows. By hacking into 438 Flowise servers, he revealed stored sensitive data, including GitHub access tokens, OpenAI API keys, Flowise passwords, and API keys. Additionally, he found...

According to the latest report from the PARAT database, the competitive landscape of the global Artificial Intelligence (AI) industry is taking shape. The United States' Alphabet (Google's parent company) and Microsoft lead in AI paper citations, while China's Baidu and Tencent demonstrate strong momentum in patent applications. This report overturns traditional perceptions of the AI field, emphasizing the robust development of cutting-edge research in the industry, particularly the research quality of Chinese companies. 'Attention Is All You Need' paper.

Tech giant Oracle recently announced the launch of HeatWave GenAI cloud service, an innovative product designed to offer comprehensive generative AI and machine learning solutions to enterprises. This service integrates multiple advanced features, including in-database large language models, enabling automated analysis at transaction and Lakehouse scale. The core advantage of HeatWave GenAI lies in its accessibility and ease of use. Enterprise customers can apply generative AI technology to thei

OpenAI has announced the acquisition of Rockset, a leading real-time analytics database known for its world-class data indexing and querying capabilities. Following the acquisition, OpenAI plans to integrate these features into ChatGPT.

The American social media platform Reddit has reached an agreement with Google, valued at approximately $60 million annually. Springer Publishing Group collaborates with OpenAI, becoming the first publishing entity to deeply integrate journalism with artificial intelligence technology. OpenAI has signed a cooperation agreement with Axel Springer, indicating that future large model training may involve payments to data providers. Publishing industry companies possess a wealth of electronic graphic resources and are expected to become important datasets for large model training.

As the new year arrives, Midjourney is embroiled in controversy over its use of artists' works to train AI. Artists have reacted strongly, accusing the company of infringement and prompting legal action. Notable artists such as Banksy and Andy Warhol are involved, drawing widespread attention.

The leak of the artist database used to train Midjourney AI includes renowned artists such as Banksy and David Hockney, leading to criticism on social media. The leak involves over 16,000 artists and has sparked copyright lawsuits. Midjourney's CEO confirmed the use of names from more than 4,000 artists for AI training.

["Relational databases will break free from SQL constraints and adopt more flexible databases.", "Vector databases will emerge in fields such as recommendation systems and image recognition due to their ability to handle high-dimensional data.", "Enterprises will begin leveraging unstructured data in data lakes to train multimodal models.", "Companies without data governance support will struggle when implementing AI.", "Knowledge graphs will help users eliminate data silos."]

Aliyun has launched the free open-source database AI algorithm PilotScope. PilotScope enables one-click deployment of AI algorithms in databases, improving the speed of tasks such as query optimization by 1 to 2 times. PilotScope has been piloted internally at Aliyun and is now freely available as open-source.

In the era of large models, vector databases have become an indispensable partner. Through vector databases, large models gain long-term memory capabilities, addressing issues of hallucination and data update delays. Vector databases not only enhance data security but also provide large models with massive, real-time data support. The rapid development of Tencent Cloud's vector database showcases the momentum of large models and data technology together driving the application of artificial intelligence.

Tencent Cloud's vector database fully opens public beta, providing efficient access solutions for large model data vectorization, improving storage and query efficiency to address the high pre-training costs, hallucinations, lack of long-term memory, and knowledge updates associated with large models. It has already served over 40 internal businesses and hundreds of public cloud external clients.

📖 Digitalization of Ancient Yi Script: The project team uses AI technology to digitally encode Ancient Yi characters and establish a query database. 🌟 Cultural Heritage: The launch of the database is an important measure for protecting linguistic civilization and can boost the digitalization of traditional culture. 🔍 AI Application: The project demonstrates that AI can play a significant role in cultural preservation and provide new ideas for the digitalization of traditional culture.