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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.

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

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.

Last week, around 100 authors protested outside Meta's London headquarters, accusing the American tech giant of using their works without permission to train its AI models. Protesters chanted "Meta, Meta, book thieves," with some holding signs such as "I wanted to write a slogan, but you'll steal it" and "Give us back our books, Zuck," a clear jab at Meta CEO Mark Zuckerberg. Earlier reports suggested Zuckerberg approved the company's use of a dataset called

Amidst the growing prevalence of artificial intelligence, the collaboration between DeepSeek and Tsinghua University has garnered significant industry attention. DeepSeek, a Chinese startup, is renowned for its breakthroughs in low-cost inference models. This collaboration aims to further reduce the training costs of AI models, thereby enhancing operational efficiency. DeepSeek recently launched a new low-cost inference model that has generated considerable market excitement. To further optimize this model, DeepSeek's research team...

Amidst the rapid advancement of Artificial Intelligence (AI), Microsoft is actively promoting AI literacy with its 50-day AI Skills Festival. This event is open to everyone, from beginners to professionals, offering free registration and access to a wealth of AI learning resources. The initiative aims not only to enhance public AI capabilities but also to break a Guinness World Record, making it a fun and practical event. AI is transforming the way various industries operate, particularly in daily office work. Microsoft hopes to...

Microsoft recently unveiled a remarkable research project – WHAMM (World and Human Action MaskGIT Model). This innovative AI model can generate and run the classic game Quake II entirely within the AI model, producing a playable version in real-time. This research, part of Microsoft's Copilot Labs, explores the potential and boundaries of generative AI in interactive media. A revolutionary breakthrough.

A recent joint study by Google, Carnegie Mellon University, and MultiOn explores the application of synthetic data in training large language models. According to Epoch AI, a research institution focused on AI development, currently available high-quality text training data totals around 300 trillion tokens. However, with the rapid advancement of large models like ChatGPT, the demand for training data is growing exponentially, projected to exhaust existing resources by 2026. Therefore, synthetic data is becoming increasingly crucial.

Microsoft's Chief Technology Officer, Kevin Scott, highlighted the importance of product managers in training AI agents. According to him, product managers are not only central to product design and development, but also play a crucial role in creating 'feedback loops'. These feedback loops help AI agents continuously learn and improve their ability to perform tasks, better meeting user needs. Kevin Scott points out that the effectiveness of AI systems is heavily reliant on human feedback. Product managers are integral to this process.

A group of prominent authors, including Richard Osman, Kazuo Ishiguro, Kate Mosse, and Val McDermid, have signed an open letter calling on the UK government to hold Meta accountable for using copyrighted books in its AI training. The letter requests that the Secretary of State for Culture, Media and Sport, Lisa Nandy, summon Meta representatives to discuss the matter.

Bloomberg, citing sources, reports that Ant Group has made a significant breakthrough in AI, reducing AI model training costs by 20% using chips from Alibaba and Huawei. This injects new momentum into China's drive for technological self-reliance. The report further indicates that Ant Group's internal tests show these Chinese-made AI chips rival Nvidia's offerings in performance. Widespread validation and adoption of this could significantly alter the global AI landscape.

Researchers at the University of California, Berkeley have recently released their latest research achievement – the TULIP (Towards Unified Language-Image Pretraining) model. This model aims to enhance the performance of vision-language pre-training, particularly in visually-centric tasks requiring high-fidelity understanding, overcoming the limitations of existing contrastive learning models (such as CLIP). TULIP integrates innovative techniques such as generative data augmentation, enhanced contrastive learning, and reconstruction regularization.