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

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

Engineering researchers at the University of California, Los Angeles (UCLA) have developed an advanced ...

Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...

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 ...

Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent ...

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.

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 ...

Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...