As general-purpose and domain-specific AI models rapidly infiltrate drug discovery, one critical question looms over the pharmaceutical sector: Can these models actually discover drugs, or are they ...

A group of tech workers today published an open letter that calls for a new approach to regulating automated artificial ...

PAX6-dependent epithelial differentiation and developmental trajectories of the ocular surface are elucidated through single-cell RNA sequencing of hiPSC-derived ocular organoids. This study provides ...

Over the past two decades, the biggest evolution of Artificial Intelligence has been the maturation of deep learning as an approach for machine learning, the expansion of big data and the knowledge of ...

Infecting volunteers with COVID-19 may provide valuable insights for future rounds of vaccine testing, but would require very strict controls and is unlikely to advance the current slate of vaccines ...

The global development landscape is undergoing a fundamental shift as traditional models of aid are increasingly challenged by evolving geopolitical and economic dynamics. The long standing donor- ...

Yusuf Roohani, PhD, machine learning group lead at the Arc Institute, is among a team of researchers training artificial intelligence (AI) models with transcriptome data to predict how cell gene ...

Amazon reportedly plans to consolidate several Nova AI models. Here’s what the strategy shift could mean for AWS and ...

In the functional safety world, once a system is developed, it remains protected as long as the system is in service. In contrast, the security world demands that software must continue to defend a ...