A new 3D image projection system marks a major step toward overcoming a longstanding problem for holographic technology.

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...

DeepAFM is a deep learning-based method that analyzes high-speed atomic force microscopy images of proteins. It removes noise and identifies protein shapes, enabling accurate detection of transitions ...

Computational methods have long had a pivotal role in advancing biophysics and structural biology 1,2. Genome-editing systems, such as CRISPR–Cas9 (ref. 3) and other CRISPR effector proteins 4, are ...

The encoder–decoder architecture sits quietly behind many of the most impactful AI systems we use today—machine translation, speech recognition, text summarization, and modern large language models.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...

Until recently, my understanding of AI was rooted in traditional machine learning : logistic regression, random forests, and classification models. Then the AI world exploded. Transformers, embeddings ...

Generating complex scene layouts faces challenges such as cross-modal semantic alignment bias and low efficiency in modeling dynamic spatiotemporal relationships. Existing methods have limitations on ...