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Listen Labs, an AI-powered market research company backed by Sequoia Capital, has secured $27 million in funding to revolutionize the market research industry.

Researchers from Hong Kong and the UK have recently proposed a novel image tokenization method designed to convert images into digital representations (tokens) in a more compact and accurate manner. Unlike traditional methods that distribute information uniformly across all tokens, this method employs a hierarchical structure, capturing visual information layer by layer, thereby improving the quality and efficiency of image reconstruction. Traditional image tokenization techniques typically divide each part of an image equally into multiple tokens, whereas the new method adopts a hierarchical structure. Initial tokens encode rough shapes and structural elements,

Microsoft recently updated its 365 Copilot with new features, including AI-powered enterprise search, a reasoning agent, and a new Copilot store. Some users have access to these features now, while others may need to wait until May. The AI-powered enterprise search is a particular highlight. Microsoft states that Copilot search combines search with the power of AI to deliver more relevant and context-aware search results. This is from the Vice President of Microsoft's design and research department.

A recent paper jointly published by Tsinghua University and Shanghai Jiao Tong University challenges the widely held belief that pure reinforcement learning (RL) enhances large model reasoning capabilities. The research found that models incorporating reinforcement learning performed worse than their original counterparts in certain tasks.

The search for another Earth-like planet in the vast universe has been akin to searching for a needle in a haystack. However, a research team from Switzerland has injected powerful new momentum into this epic exploration. They have developed an AI model that acts like a sharp-eyed interstellar detective, able to penetrate the dust and identify unknown corners that may harbor habitable worlds. This is not merely a technological breakthrough, but also a roadmap to the future. In a recent study published in Astronomy & Astrophysics, the scientists detail...

On April 21, 2025, Shenzhen University officially unveiled its Artificial Intelligence Institute, marking a significant step forward in the university's AI education and research. According to Shenzhen TV's Deep Vision News report, the institute will establish a basic research center and a computing platform, and will collaborate with Tencent Cloud to build an industry academy, promoting deep integration of industry, academia, and research. Image Note: Image generated by AI, image authorization service provider Midjourney. Currently, the Artificial Intelligence Institute boasts a strong team of approximately 80 teachers and researchers.

ByteDance Research has announced the open-sourcing of ChatTS-14B, a 14-billion parameter large language model (LLM) specifically designed for understanding and reasoning with time series data. Released under the Apache2.0 license, ChatTS-14B's open-source release has garnered significant attention within the AI community, marking a substantial advancement in the intersection of time series analysis and generative AI. ChatTS-14B: An Intelligent Conversational Engine for Time Series. ChatTS-14B is based on Qwen2.5-1...

In the field of multimodal artificial intelligence (AI), engineers from Apple have collaborated with a research team from Sorbonne University in France on a significant study. Recently, tech media outlet marktechpost published a blog post discussing the application and prospects of early and late fusion models in multimodal AI. The research indicates that early fusion models trained from scratch offer superior computational efficiency and scalability. Multimodal AI aims to process multiple data types simultaneously, such as images and text; however, integrating these diverse sources presents challenges.

Anthropic, an AI startup, recently announced a new "Research" feature for its Claude model. This feature searches across multiple sources, including internal and external web resources, to provide comprehensive answers. Anthropic stated in its blog that this approach "provides thorough answers with readily verifiable citations, allowing users to trust Claude's findings." Furthermore, the feature will examine user queries from multiple perspectives.

April 9, 2025: AI research tools have reached a critical breakthrough. Google announced a major upgrade to its highly anticipated Deep Research feature, now powered by the experimental Gemini 2.5 Pro. This model has demonstrated superior performance in industry reasoning benchmarks and Chatbot Arena evaluations, considered by professionals to be one of the most powerful AI models globally. This technological advancement has sparked widespread interest among researchers, technical experts, and industry observers.

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.