Ansys has introduced SimAI, a cloud-native, AI-powered simulation platform designed to make advanced engineering analysis ...

Machine learning (ML) models for predicting gas permeability through polymers have traditionally relied on experimental data. While these models exhibit robustness within familiar chemical domains, ...

Single-cell RNA-sequencing (scRNA-seq) is a powerful technique for profiling the transcriptomes at the single-cell resolution and has gained considerable popularity since its emergence in the last ...

Small and medium enterprises can cut costs and boost innovation by building strong data foundations for digital twins instead of relying on costly, error-prone cleanup methods. To fine-tune their ...

In the job descriptions linked, the Google team points out that this kind of physical world simulation will be a critical step on the path to artificial general intelligence (AGI): "We believe scaling ...

The biggest bottleneck in Hollywood's visual effects isn't making simulations look real anymore—it is the catastrophic cost ...

While artificial intelligence continues to transform health care, the tech has an Achilles heel: training AI systems to perform specific tasks requires a great deal of annotated data that engineers ...

Artificial intelligence is transforming digital work, but its impact is increasingly physical. AI at a massive scale requires ...

On November 6, Johns Hopkins University published an article about a simulation to explore how the United States would respond to a fast-moving new virus. The subtitle, which read in part that the ...