Quantum Acceleration For Frontier AI: Does It Cut The Cost Of Training?

Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...

Autocomplete: Large language models can repeat training data verbatim

Researchers show that LLMs can reproduce copyrighted training data almost verbatim. This means headaches for model providers.
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Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

DeepSeek’s New Architecture Can Make AI Model Training More Efficient and Reliable

DeepSeek, the Chinese artificial intelligence (AI) startup, that took the Silicon Valley by storm in November 2024 with its R1 AI model has now revealed a new architecture that can help bring down the ...

DeepSeek kicks off 2026 with new AI architecture aimed at more efficient model training

DeepSeek’s research doesn’t claim to solve hardware shortages or energy challenges overnight. Instead, it represents a quieter but important improvement: making better use of the resources already ...
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Wikimedia Foundation Expands Partnerships with Tech Firms for AI Training Access

Wikimedia signs AI content deals with Microsoft, Meta, and more to fund operations and support AI model training needs.