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 ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published ...

Learn step-by-step techniques for preparing data and fine-tuning large language models to achieve exceptional performance.

Integrating computational intelligence enables precise and efficient sonar data analysis, supporting marine resource development and utilization (Chen et al., 2022; Liu et al., 2022). This article ...

The algorithm was rigorously tested across an RF spectrum spanning from 10 MHz to 18 GHz, enabling real-time threat identification with an impressive instantaneous bandwidth of 6.4 GHz.

The amount of data that needs to move around a chip is growing exponentially, driven by the rollout of AI and more sensors everywhere. There may be hundreds of IP blocks, more compute elements, and ...

The library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal.

Dynamic3DModeler models three-dimensional spatial data completely. It employs cutting-edge data formats, algorithms, and uncertainty modeling. This four-step strategy addresses changing datasets, ...

Encryption is essential for protecting data, with both symmetric and asymmetric methods offering unique advantages.