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 ...

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

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

Most discussions of AI-generated code focus on whether AI can write code. The harder question is whether you can trust it.

Artificial intelligence is quickly becoming a defining question for software leaders. New tools appear weekly, demos promise ...

University of Virginia School of Medicine scientists have developed a bold new approach to drug development and discovery ...

In science, ethical guidelines ensure that research takes place in a way that respects public trust and is conducted ...

A 2025 MIT Nanda report found that “just 5% of integrated AI pilots are extracting millions in value, while the vast majority ...

The real challenge of AI readiness is teaching employees how to question, validate, and supervise automated systems.

Q2 Holdings has introduced Q2 Code, a new AI-powered development environment built in collaboration with Anthropic and Amazon Web Services, signaling a deeper shift in how software is created inside ...

BMW and the Center of Excellence for Robotics at the University of Zagreb (CRTA) report progress on their project to optimize ...