Zoraptera, also known as angel insects or ground lice, are tiny termite-like insects generally found underneath bark or in ...

Corinex Corp. and Plexigrid S.L. have signed a strategic cooperation agreement to market Corinex Plexigrid Intelligence, a ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

Our approach models label noise in semantic segmentation with a probabilistic framework that incorporates spatial correlations. By introducing a continuous latent ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

Asteroid Vesta’s battered surface is far from static, it quietly preserves the memory of past collapses, impacts, and ...

Anupam Ojha, a postdoctoral fellow at the Flatiron Institute, develops advanced statistical frameworks to bridge the gap ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

As clinical drug development becomes more complex and resource-intensive, the FDA’s recent draft guidance on the use of Bayesian statistical methods in clinical trials signals a move toward more ...

Abstract: Due to lack of data, overfitting ubiquitously exists in real-world applications of deep neural networks (DNNs). We propose advanced dropout, a model-free methodology, to mitigate overfitting ...

Imagine a scenario where a team of doctors faces a perplexing medical puzzle. A patient shows a range of symptoms, each pointing to multiple possible diseases. How can they navigate this diagnostic ...