Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...

Shapiro-backed HB2151 is a threat to the municipal zoning process dozens of communities across PA have relied on to stop data centers ...

We talk to Ryan Cormack of used car marketplace Motorway about how AI-driven development increases the speed and productivity of engineering and the challenges it brings ...

NIIMBL’s 2025 National Meeting emphasized the need for system interoperability through standardization of means for data ...

The Emirates Drug Establishment (EDE) has announced the country’s first fully AI-discovered and developed drug candidate by a ...

Fine-tuning TCAD parameters with real-world feedback from test wafers is essential for quantitatively accurate and predictive results.

Aerospace testing methods reveal hidden risks in complex systems, ensuring reliability in AI-driven designs under real-world ...

What kills AI in regulated industries is the designated architecture, the compliance gauntlet and the model being trusted by ...

Twelve months after releasing a roadmap to shift away from animal testing requirements, the FDA has declared mission ...

The company said it’s trying to speed up the time it takes to get new AI agents up and running in production. By giving ...