Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

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

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

Although they mostly go unnoticed by humans, small earthquakes occur much more frequently than large earthquakes, and knowing ...

We're looking for the most powerful people in AI and machine learning for Business Insider's 2025 AI Power List.

Beyond machine learning, there are researchers across a wide range of fields who use link prediction and ML to conduct their research, often with profound potential impact. For example, some ...

With the new machine learning methodology, we can now extend our work to investigate how drug-carrying nanoparticles interact with blood proteins and how those interactions change the efficacy of ...

With the new machine learning methodology, we can now extend our work to investigate how drug-carrying nanoparticles interact with blood proteins and how those interactions change the efficacy of ...

Differential privacy is a method for protecting people’s privacy when their data is included in large datasets. Because differential privacy limits how much the machine learning model can depend ...