Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

Scientists used IBM's R2 Heron quantum processor to predict the secondary protein structure of a 60-nucleotide-long mRNA ...

As large language models like Claude 4 express uncertainty about whether they are conscious, researchers race to decode their ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

I refined my data structures and algorithm skills, practiced whiteboarding under time constraints, and learned how to approach large-scale design problems with clarity and precision.

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China ...

This innovative practice full paper describes how to integrate generative Artificial Intelligence (AI) with Data Structures and Algorithm Analysis (CS2) homework at Oklahoma State University. Data ...

The SOM algorithm, which incorporated both qualitative and quantitative data, produced the best model, resulting in the identification of three distinct domains. These findings underscore the ...

American Electric Power (AEP) subsidiary AEP Ohio filed a settlement agreement with the Public Utilities Commission of Ohio (PUCO) and key stakeholders on Oct. 23 to address the costs of power ...