Most Chinese AI companies currently release their models "open-weight"—publishing the weights online so anyone can download ...

Chinese authorities have held meetings with top tech firms over the past month ​about potentially restricting overseas access ...

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

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 consequence of global warming. These disasters cause billions of dollars in ...

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 ...

The computer scientist is receiving a grant of 2.5 million euros to develop innovative algorithms in computer vision. These innovative AI models are designed to be able to both understand and ...

As clinical drug development becomes more complex and resource-intensive, the FDA’s recent draft guidance on the use of Bayesian statistical methods in clinical trials signals a move toward more ...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