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Graphcore Research
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Graphcore Research
@GCResearchTeam
Our mission is to follow and contribute to the advancement of AI research, aiming to characterise the computational requirements of machine intelligence.
United Kingdom
graphcore-research.github.io
Joined January 2024
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    Graphcore Research
    @GCResearchTeam
    May 18
    A tiny implementation detail in low-precision arithmetic could be biasing your AI training 😲 This interactive deep dive from Graphcore Research's @Awfidius uncovers a subtle failure mode in stochastic rounding that only appears when randomness is limited, and how it can be
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    Graphcore Research
    @GCResearchTeam
    Mar 12
    Would you rather use 1 million × 16-bit weights, 4 million × 4-bit weights, or even 16 million × 1-bit weights? In joint work between Aleph Alpha Research and Graphcore, we asked this question of LLMs — the answer encouraged us to embrace the wonder ✨ of 1-bit weights, which
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    Graphcore Research
    @GCResearchTeam
    Dec 11, 2025
    Our picks for November’s Papers of the Month are here. Out of our shortlisted papers, we spotlight three looking at LLM efficiency from different angles! 📊 First up, How to Scale Second-Order Optimization is studying optimal tuning of second order optimizers such as Muon. 🌫️
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    Graphcore Research
    @GCResearchTeam
    Dec 7, 2025
    Come to the Frontiers in Probabilistic Inference today at #NeurIPS2025 to see Graphcore researcher Michael Pearce presenting "Variational Entropy Search is Just 1D Regression"
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    Graphcore Research
    @GCResearchTeam
    Dec 6, 2025
    Come to the ML for Systems workshop at #NeurIPS2025 to see Graphcore Researcher Callum McLean presenting "MXNorm: Reusing Block Scales for Efficient Tensor Normalisation"
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