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A tensor is a mathematical container for numbers arranged across one or more dimensions. A scalar can be treated as a zero-dimensional tensor, a list as one-dimensional, a table as two-dimensional, and images or batches of data as higher-dimensional tensors. Deep learning frameworks use tensors to store model inputs, parameters, activations, and gradients while performing efficient operations on CPUs, GPUs, or specialized accelerators. A tensor’s shape, data type, device, and memory layout determine which operations are valid and how much computation is required. In some mathematical contexts the word has a stricter meaning, but in everyday machine learning it usually refers to a multidimensional numerical array.

Andrew Tulloch Leaves $12B AI Startup to Join Meta After Turning Down $1.5B Offer
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AI & Machine Learning, Immersive Reality (AR, VR, MR, and XR), News, Startups & Investment

Andrew Tulloch Leaves $12B AI Startup to Join Meta After Turning Down $1.5B Offer

By • 3 mins read

Andrew Tulloch, co-founder of the $12 billion AI startup Thinking Machines Lab, has joined Meta after previously rejecting what reports described as a $1.5 billion offer — a figure Meta has since called ‘inaccurate and ridiculous.’