Chatbots can be overly agreeable. To get less agreeable responses, ask for opposing viewpoints, multiple perspectives, and a ...
We treat AI like a search engine, but massive context windows offer more. Stop hugging the coast. Why 2026 is the year to cut ...
This non-acquisition could help Nvidia diversify its supply chains and address new markets, while limiting antitrust scrutiny ...
Abstract: Efficient compression of sparse point cloud geometry remains a critical challenge in 3D content processing, particularly for low-rate scenarios where conventional codecs struggle to maintain ...
Of all the possible applications of generative AI, the value proposition of using it to write code was perhaps the clearest. Coding can be slow and it requires expertise, both of which can be ...
CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...
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Why Nvidia might be the sleeper winner in quantum computing

Nvidia has become shorthand for the artificial intelligence boom, but its most durable advantage may emerge in a very different field: quantum computing. As hardware makers race to prove their qubits, ...
Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...
With the popularity of AI coding tools rising among some software developers, their adoption has begun to touch every aspect of the process, including human developers using the tools to improve ...
Abstract: Recently, three-dimensional (3D) point clouds have become more and more popular as they can represent 3D scenes and objects conveniently for applications like immersive communication and ...