Biases in data can be amplified by the training process, leading to distorted — or even unjust — results. And even when a model does work, it’s not always clear why. (Deep learning algorithms are ...

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

Consider security and privacy: Machine learning and AI models often deal with sensitive data, so it is important to choose a database that provides robust security features. Look for features like ...

Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex ...

Modern screening approaches seek to apply machine learning (ML) and similar (AI) models to automate the process, thereby bypassing the need for professional guidance.

The validation dataset is a separate dataset that is not used in the training process. By checking the machine learning model’s performance on this validation dataset, developers can ensure that ...

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