Author: Advanced AI Bot
Nvidia claimed that if Chinese companies choose not to purchase alternative Nvidia products, it could lose $400 million in sales of the affected chips it has scheduled for China this quarter. (Photo: Robert Galbraith/Reuters) A potential shortage of Nvidia’s H20 artificial intelligence chips is emerging in China, threatening to disrupt the country’s rapid AI expansion efforts and exposing fault lines in global semiconductor supply chains. H3C, one of China’s largest server makers and a key OEM partner for Nvidia, issued a warning this week to clients, citing “significant uncertainties” in the international supply chain for the H20 processor, according to…
Ever since OpenAI launched ChatGPT’s Ghibli-style AI image generator last week, it has taken social media by storm. From politicians and celebrities to everyday users, everyone seems to be sharing their artificial intelligence-generated portraits in the signature style of Ghibli legend Hayao Miyazaki. The latest version lets people turn their own photos — or even viral internet memes — into amazing Ghibli-style artwork. Amitabh Bachchan hoping on the Ghibli-edits trend. Grok, Elon Musk’s AI chatbot, also features a new Ghibli-style image generation capability. Elon Musk’s xAI has integrated this feature into Grok 3, allowing users to create Ghibli-inspired images for…
Creating high-fidelity 3D meshes with arbitrary topology, including open surfaces and complex interiors, remains a significant challenge. Existing implicit field methods often require costly and detail-degrading watertight conversion, while other approaches struggle with high resolutions. This paper introduces SparseFlex, a novel sparse-structured isosurface representation that enables differentiable mesh reconstruction at resolutions up to 1024^3 directly from rendering losses. SparseFlex combines the accuracy of Flexicubes with a sparse voxel structure, focusing computation on surface-adjacent regions and efficiently handling open surfaces. Crucially, we introduce a frustum-aware sectional voxel training strategy that activates only relevant voxels during rendering, dramatically reducing memory consumption and…
Today’s organizations face a critical challenge with the fragmentation of vital information across multiple environments. As businesses increasingly rely on diverse project management and IT service management (ITSM) tools such as ServiceNow, Atlassian Jira and Confluence, employees find themselves navigating a complex web of systems to access crucial data. This isolated approach leads to several challenges for IT leaders, developers, program managers, and new employees. For example: Inefficiency: Employees need to access multiple systems independently to gather data insights and remediation steps during incident troubleshooting Lack of integration: Information is isolated across different environments, making it difficult to get a…
Stability AI speaks of a “multi-view video generation with 3D camera control”. This refers to an AI model that can convert photos into 3D models. These in turn can be viewed from all sides, enabling an immersive view. Stable Virtual Camera is still a research preview. Stability AI uses a diffusion model to create the 3D videos. These are AI models in which images are generated point by point using noise. A single photo or up to 32 images can be used as input. The generated videos are available with different camera paths, such as “dynamic”, “spiral”, “dolly zoom”, “pan”…
If you are interested in building your very own local deep research AI assistant, you might be interested in Google’s Gemma 3 AI models. They represent a significant advancement in artificial intelligence, offering a compact yet robust solution tailored for local deployment. Derived from the larger Gemini series, these models combine high performance with a strong emphasis on privacy and accessibility. Featuring multimodal capabilities, support for 140 languages, and the ability to generate structured outputs, Gemma 3 is engineered to meet diverse AI research assistant and productivity demands. These models are open source and optimized for local use, allowing you…
IBL News | New York Paris–based Mistral AI unveiled Mistral Small 3.1, a new multimodal open-source model. According to the company, it is “the best model in its weight class ” and “outperforms comparable models like Gemma 3 and GPT-4o Mini. “ Released under an Apache 2.0 license, Mistral Small 3.1 has an expanded context window of up to 128k tokens and a delivery inference speed of 150 tokens per second. Experts say that Mistral Small 3 is competitive with larger models such as Llama 3.3 70B or Qwen 32B and replaces opaque proprietary models like GPT4o-mini. Mistral Small 3 can be fine-tuned…
The Gist AI efficiency at startup speed. DeepSeek enters the GenAI space with a model that’s fast, affordable, and tailored for transparency and reasoning. Marketing implications abound. From token efficiency to cost-effective APIs, DeepSeek promises scale and trust for AI-powered marketing strategies. Security concerns remain. Despite the innovation, DeepSeek’s data privacy practices are under scrutiny—marketers must proceed with awareness. Among the business lessons on entrepreneurship, marketers at start-ups entering a market face a strategic decision to keep pace with competitors. With a new offering, you must be either fast to market or bring something distinct to the marketplace.These days AI…
Table of Contents Table of Contents DeepSeek Alibaba Qwen Baidu Ernie bot The next leg of the AI race is on, and has expanded beyond the usual players, such as OpenAI, Google, Meta, and Microsoft. In addition to the dominance of the tech giants, more open-source options have now taken to the spotlight with a new focus in the AI arena. Various brands, such as DeepSeek, Alibaba, and Baidu, have demonstrated that AI functions can be developed and executed at a fraction of the cost. They have also navigated securing solid business partnerships and deciding or continuing to provide AI…
What has been the impact so far?The far-reaching nature of this trend and the sheer numbers of those who hopped onto this bandwagon have led to so much demand that it has caused ChatGPT’s computer chips, which generate the images, to almost stop working.Sam Altman, the chief executive of OpenAI and the creator of ChatGPT, said in a post on X soon after the trend gained momentum that “our GPUs are melting”. He has since announced the introduction of upload restrictions to limit the number of times users can access the service.But the barrage of “Ghiblified” AI image requests seemed…