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 ...

As a work exploring the existing trade-off between accuracy and efficiency in the context of point cloud processing, Point Transformer V3 (PTV3) has made significant advancements in computational ...

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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 ...

ROANOKE, Va., Nov. 20, 2025 /PRNewswire/ -- Virginia Transformer today announced it will expand its Rincon, Georgia large power transformer production beginning in January 2026 to further bolster its ...

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 ...