Recently, Stibo Systems, a global leader in master data management, released the latest report titled 'AI: A High-Risk Bet for Enterprises.' This report reveals that corporate leaders across various industries in the United States are increasingly relying on artificial intelligence (AI) for daily decision-making. However, there is a notable lack of preparedness in AI literacy, ethical usage, and organizational readiness, which raises significant concerns. Image source note: The image is generated by AI, licensed through service provider Midjourney Stibo System.

FLUX-Controlnet-Inpainting, an image repair tool based on ControlNet and FLUX.1-dev, is redefining our understanding of image restoration. This tool not only inherits the high-quality image generation capabilities of the FLUX.1-dev model but also cleverly integrates the strengths of ControlNet. It can accurately repair images based on information from edges, sketches, depth maps, etc., generating content that harmonizes with the surrounding environment in specified areas.

Recently, a spokesperson for Meta stated that the company will not immediately join the European Union's Artificial Intelligence Convention. This convention serves as a temporary measure to help businesses prepare for the upcoming regulations before the full implementation of the EU's AI Act. It is worth mentioning that this AI Act was approved by EU legislators in May of this year and is the world's first regulation specifically targeting the development and deployment of artificial intelligence. Under this act, companies will be required to provide a summary of the data used to train their AI models.

ByteDance is secretly preparing to establish a Large Model Research Institute to strengthen its position in AI large models. The institute has attracted top talents from the industry, including Qin Yujia and Huang Wenhao, who will manage technology projects and report directly to founder Zhang Yiming. This move indicates ByteDance's long-term plans and proactive strategies in AI model R&D, aiming to leverage external expertise for technological a....

On August 7th, Meitu's Meitu Cloud Repair launched the newly upgraded 'Meitu Cloud Repair Pro Version', introducing new features such as AI batch coloring and AI batch retouching, aimed at providing a more comprehensive photo editing solution for the commercial photography industry. The AI workflow of Meitu Cloud Repair can help retouchers achieve AI automation from format conversion, retouching to delivery, significantly improving work efficiency.

知网推出AI智能备课系统，运用AI技术和华知大模型，提供智能写作、编改、推荐和管理功能，旨在提高教学质量。此系统能让教师一键生成高质量教学方案，通过在线迭代完善教案设计，推荐与教案主题关联的学术文献，并支持教案内容的分类与导出管理，能显著提升备课效率并减轻教师工作压力。主要特点包括：增强的教学方案生成能力、高效满意的教案修改过程、精准的学术资源推荐和方便的文档管理，该系统能够对教学大纲给予智能化的支持。感兴趣的用户可以通过提供的链接进行体验和使用。

WhatsApp is reportedly preparing to launch a new generative AI feature that allows users to create new images similar to Apple's Image Playground. This feature will enable users to create their own AI avatars within the popular messaging app.It is said that WhatsApp, under the Meta umbrella, is developing a feature that allows users to create personalized avatars in any imagined environment. By uploading a series of photos, WhatsApp users will be able to train Meta's AI to create realistic digit

It has been reported that French regulatory authorities are preparing to bring "antitrust" charges against Nvidia, alleging unfair competition practices. Nvidia has become a major supplier of GPUs and high-speed networking equipment, which are essential for the training clusters needed to develop and service top AI models. Some estimates place Nvidia's share of the AI infrastructure market at over 80%, which seems to have stirred up dissatisfaction within France's antitrust department.According

Dutch artist Alicia Framis is preparing to marry her AI hologram partner AILex, which she created, showcasing their romantic life on social media. Alicia Framis has meticulously designed the interactive hologram, training it with data from her ex-boyfriend. She attempts to contemplate the benefits and issues that arise from the combination of humans and AI. Gatebox offers virtual character marriage services and has held 3000 weddings.

In 2023, generative AI was selected as one of the top ten new terms by the National Language Resource Monitoring and Research Center. Before hastily adopting AI, enterprises should undertake three key preparation steps: digitizing internal data, building computational power and systems, and developing a talent team. AI expert Andrew Ng pointed out that generative AI is widely used in areas such as advertising and search engines, but every industry requires suitable AI systems. Successful AI project implementations necessitate substantial scale, long periods, and high-cost preparatory work, as exemplified by NVIDIA's success in medical imaging AI cloud services.

Meitu Cloud Repair has released the Pro version, offering smart retouching API services. The Pro version features a new image processing engine, allowing for real-time previews. The smart retouching API supports multi-platform applications, enabling quick image output. The AI photography capabilities lower the barriers to creation. Meitu Cloud Repair has over a million users and more than 30,000 commercial photography institutions using it.

User feedback has raised concerns: the GPT-4 model almost seems 'reluctant' to provide answers, impacting the user experience. Problem acknowledgment: Performance issues stem from changes in the training data aimed at improving accuracy, which inadvertently caused unexpected lethargy. Repair timeline unclear: OpenAI emphasizes their high priority on this matter but has not specified a timeline for the repair plan. Competitive scrutiny: OpenAI is closely monitoring Google's Gemini 1.0 while facing the complexities of developing large language models.

Only 9% of Canadian companies are fully prepared to deploy and leverage artificial intelligence technologies, facing urgency and challenges. 55% of companies state they have at most one year to implement AI strategies, yet they face multiple challenges such as infrastructure, data silos, and talent development. Despite these challenges, 95% of organizations have already developed or are in the process of developing AI strategies, with 68% being classified as leaders or challengers.