Search AI Products and News

A new Google report reveals that effective AI training for employees could unlock a £400 billion (approximately $533 billion) boost to the UK economy from AI-driven growth. Based on a UK pilot program, the report shows employees saved over 122 hours annually on administrative tasks by using AI tools. The report highlights that simplifying AI usage and providing adequate training are key to wider AI adoption. Google's European, Middle...

Google recently released a new version of its Gemma3 series, exciting many AI enthusiasts. Just a month after its initial launch, Google released a Quantization Aware Training (QAT) optimized version of Gemma3, aiming to significantly reduce memory requirements while maintaining model quality. Specifically, the QAT-optimized Gemma3 27B model reduces VRAM requirements from 54GB to 14.1GB, meaning users can now run it on a single NVIDIA RTX 3090.

Hugging Face recently released its top model leaderboard for the second week of April 2025, encompassing various modalities such as text generation, image generation, and video generation. This highlights the rapid iteration and diverse applications of AI technology. According to AIbase, the models featured in this week's leaderboard not only showcase the innovative vitality of the open-source community but also reflect technical trends such as low-precision training and multi-modal generation. Below is an analysis of the leaderboard highlights, with professional insights provided by the AIbase editorial team. Text Generation Models: Balancing Efficiency and Specialization

Traini, an AI-powered pet language translation app, has quickly gained popularity in the English mobile market since its launch. Developed in collaboration with animal behaviorists, Traini utilizes photo, video, and sound analysis to bridge the communication gap between humans and dogs, offering pet owners a revolutionary way to interact with their beloved companions.

Kingsoft Cloud announced that its StarStream training and inference platform has fully integrated with Zhipu's GLM series inference models, becoming one of the first platforms to integrate this series. This move marks Kingsoft Cloud's further expansion in the AI field, providing users with more efficient, intelligent, and cost-effective model services.

Wikipedia recently announced the release of a dataset optimized for AI model training, in collaboration with Kaggle, Google's data science community platform. This initiative aims to reduce the scraping of Wikipedia data by AI developers, conserving the platform's bandwidth and server resources. The dataset includes structured Wikipedia information in English and French, offering high machine readability for AI developers to facilitate modeling, fine-tuning, and data analysis. The Wikimedia Foundation stated that this data...

The Shanghai Artificial Intelligence Laboratory has released the open-source "Wanjuan Silk Road 2.0" multilingual multimodal corpus. Building upon the existing 5 languages (Arabic, Russian, Korean, Vietnamese, and Thai), this updated corpus adds three rare languages: Serbian, Hungarian, and Czech. It encompasses four modalities – text, images, audio, and video – totaling over 11.5 million data points and more than 26,000 hours of audio and video, making it a significant resource for low-resource multilingual multimodal research.

Toronto-based startup Xaba, focused on developing 'synthetic brains' for industrial robots via a no-code approach, announced a $6 million seed funding round led by Hitachi Ventures. The funding will accelerate deployment of its AI-powered robots and cognitive industrial control systems. Image note: Image generated by AI, licensed from MidjourneyX.

Meta Platforms, Inc. has announced plans to use user data from its European Union applications, including Facebook and Instagram, to train its artificial intelligence models. The company clarified that the training data will include users' public posts, comments, and interactions with Meta AI, but will exclude private messages with friends and family. Training will be limited to users aged 18 and over. Meta stated it will inform its EU users of this plan this week via in-app notifications and emails.

Meta recently announced it will resume training its AI models using publicly available content from European users. This decision follows a pause last year due to data privacy concerns. Meta stated that this AI training will primarily rely on publicly shared posts and comments from adult users across the 27 EU countries. Furthermore, interactions between users and Meta AI, such as questions and queries, will also be used to train and improve its AI models. Image attribution: Image generated by AI, image licensing provided by Midj

Ireland's Data Protection Commission (DPC) has launched a significant investigation into Elon Musk's social media platform, X. The investigation centers on whether X used European users' personal data to train its AI chatbot, Grok, without their consent. Under the EU's General Data Protection Regulation (GDPR), companies must obtain explicit consent before processing user data; violations can result in substantial fines. The DPC has stated that a thorough examination will be conducted.

In a recent annual letter to shareholders, Amazon CEO Andy Jassy highlighted the company's significant investment in artificial intelligence (AI). He noted that while the development and deployment costs of AI remain high, future AI usage costs are expected to decrease significantly as technology advances. Image Note: Image generated by AI, image licensing provider Midjourney. Jassy revealed that Amazon plans to invest up to $100 billion in capital expenditures in 2025.

Skywork AI's research team recently unveiled SkyReels-A2, a groundbreaking video generation framework pushing the boundaries of controllable video synthesis. This Element-to-Video (E2V) framework generates natural videos from text prompts by composing diverse visual elements (characters, objects, backgrounds), maintaining high fidelity to reference images. SkyReels-A2's core lies in its sophisticated data processing pipeline. The research team designed a comprehensive data construction pipeline.