Tesla’s AI team has created a patent for a power-sipping 8-bit hardware that normally handles only simple, rounded numbers to perform elite 32-bit rotations. Tesla slashes the compute power budget to ...

Abstract: Mamba and its variants excel at modeling long-range dependencies with linear computational complexity, making them effective for diverse vision tasks. However, Mamba’s reliance on unfolding ...

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These are examples of state changes and sequential reasoning that we expect state-of-the-art artificial intelligence systems to excel at; however, the existing, cutting-edge attention mechanism within ...

Oracle's debt is rising as cash flies out the door to fund AI data centers. The company already has a debt-heavy balance sheet, and it will need to borrow more to fund its AI infrastructure contracts.

This project implements Vision Transformer (ViT) for image classification. Unlike CNNs, ViT splits images into patches and processes them as sequences using transformer architecture. It includes patch ...

Summary: Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task. This ...

Rotary Positional Embedding (RoPE) is a widely used technique in Transformers, influenced by the hyperparameter theta (θ). However, the impact of varying *fixed* theta values, especially the trade-off ...