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Israeli AI coding startup Qodo announced a strategic partnership with Google Cloud aiming to enhance the quality and integrity of AI-generated software. As enterprises increasingly rely on AI to generate large codebases, the demand for efficient oversight and quality assurance tools has never been more urgent. Itamar Friedman, CEO of Qodo, emphasized that AI-generated code is no longer just an auxiliary tool but the foundation of modern development. Imagine

French AI startup Mistral AI announced on Wednesday its full entry into the AI infrastructure sector, positioning itself as a strong response to American cloud giants from Europe. At the same time, the company also launched a new inference model that can rival the most advanced systems of OpenAI. This Paris-based company released Mistral Compute, an integrated AI infrastructure platform developed in collaboration with NVIDIA (Nvidia), designed to provide European enterprises and governments with alternative solutions to摆脱对

Global renowned open-source AI platform Hugging Face recently released the open-weight model contributor ranking. Chinese teams Qwen and DeepSeek successfully ranked in the top 15, showcasing China's technical strength and influence in the global open-source AI field. This ranking honors the teams that provide high-quality model weights to the open-source community, with their models widely applied in academic and industrial innovation. The Qwen team supported by Alibaba Cloud Intelligence Group has gained favor from the community due to the excellent performance of its Qwen3 series models in tasks such as instruction following and code generation.

In today's cybersecurity battleground, the rapid rise of AI is placing unprecedented pressure on security operations teams. According to a recent survey of 500 senior cybersecurity experts from large U.S. enterprises, 86% of respondents increased their use of AI technologies over the past year to combat a rising tide of AI-driven attacks. While AI tools have helped security teams in threat detection and data analysis, it is concerning that nearly 70% of professionals believe that AI and other emerging technologies are making things worse.

Against the backdrop of artificial intelligence (AI) gradually permeating various industries, Thrive Holdings — established by renowned venture capital firm Thrive Capital — joins hands with ZBS Partners to invest $100 million in a new platform aimed at bringing AI technology into the IT services sector. This entity named Shield Technology Partners has successfully acquired four IT service companies, including

In today's modern workplace, the importance of IT support cannot be overstated. Whenever employees encounter issues such as locked computers or inaccessible applications, they always hope to contact IT support promptly. However, help desk staff are often busy handling other requests, which may result in employees not receiving timely support. Image source note: The image is generated by AI and provided by Midjourney. Andrei Serban was once the product leader of the application and integration team at Rippling, and he...

Meta announced a major reorganization of its AI division, splitting it into two core teams: 'AI Products' and 'AGI Foundations'. This move aims to address technical challenges and accelerate product development. In this restructuring, the original AI division has been divided into two key teams: the 'AI Products' team, led by Connor Hayes, focuses on the Meta AI Assistant and its functional applications on platforms such as Facebook, Instagram, and WhatsApp. The 'AGI Foundations' team is led by Ahm

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,