A Saudi scientific study has developed an intelligent model for detecting obstructive sleep apnea (OSA), a condition ...

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PaTH Attention consistently proved capable of content-awareness. "We found that both on diagnostic tasks that are designed to test the limitations of transformers and on real-world language modeling ...

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 ...

The human brain vastly outperforms artificial intelligence (AI) when it comes to energy efficiency. Large language models (LLMs) require enormous amounts of energy, so understanding how they “think" ...

The Tampa Bay Rays are seeking to have a strong offseason and get back into contention in 2026 after missing the playoffs last year. It was a bit of a frustrating campaign for the team in 2025, with ...

Instead of using RoPE’s low-dimensional limited rotations or ALiBi’s 1D linear bias, FEG builds position encoding on a higher-dimensional geometric structure. The idea is simple at a high level: Treat ...

Abstract: Deep neural networks (DNNs) are critical for obstacle recognition in autonomous driving, commonly used to classify objects like vehicles and animals. However, DNNs are vulnerable to ...