A new scalable workflow for analyzing multiple ensemble datasets incorporates SMARTTR, an R package supporting network analysis, visualization, and the import of external datasets.

Recent discoveries of how the brain works have shifted focus to brain networks, offering potential new hope for people ...

Neurovascular coupling (NVC) is the dynamic regulation of cerebral blood flow in response to neural activity. Specifically, ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

Researchers at Shanghai Jiao Tong University have developed a lightweight, artificial intelligence (AI) based system that ...

Unmanned aerial vehicles (UAVs), commonly known as drones, are now widely used worldwide to tackle various real-world tasks, ...

The brain is one of the body’s most energy-demanding organs, accounting for 2 percent of the body’s weight but consuming 20 ...

All day long, our brains carry out complicated and energy-intensive tasks such as remembering, solving problems, and making ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

14 Feb 2025 LEAPS: A discrete neural sampler via locally equivariant networks Peter Holderrieth, Michael S. Albergo, Tommi Jaakkola arXiv:2502.10843 [Paper] 15 Feb 2025 Single-Step Consistent ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at ...