COPENHAGEN, Denmark—Milestone Systems, a provider of data-driven video technology, has released an advanced vision language model (VLM) specializing in traffic understanding and powered by NVIDIA ...
Speculative decoding is a widely adopted technique for accelerating inference in large language models (LLMs), yet its application to vision-language models (VLMs) remains underexplored, with existing ...
Large multimodal models are now extensively used worldwide, with the most powerful ones trained on massive, general-purpose datasets. Despite their rapid deployment, concerns persist regarding the ...
Nvidia announced new infrastructure and AI models on Monday as it works to build the backbone technology for physical AI, including robots and autonomous vehicles that can perceive and interact with ...
Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...
Google’s latest chatbot, Gemini 3, has made significant leaps on a raft of benchmarks designed to measure AI progress, according to the company. These achievements may be enough to allay fears of an ...
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When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...
Scene graph generation (SGG) is pivotal for acquiring valuable knowledge in visual scene understanding, making it crucial for tasks such as visual question answering and visual reasoning. In recent ...
Baidu Inc., China's largest search engine company, released a new artificial intelligence model on Monday that its developers claim outperforms competitors from Google and OpenAI on several ...
Clot is introducing a winter-ready version of the classic Adidas Superstar for its latest collaboration with the Three Stripes, as seen here with the Clot Pro Model boots. The silhouette is releasing ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
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