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 ...

The need for medical treatments for rare diseases such as Leigh syndrome is high. However, low patient numbers make research ...

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

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 ...

Gr4vy, the cloud-native payment orchestration platform, is now fully ready to support agentic payment transactions through ...

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

In this guest post, Karleen draws on her background as a trained food formulator to explore how artificial intelligence is ...

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent ...

Explore the leaked features of OpenAI's GPT 5.5 Pro, codenamed Spud, and see how it outperforms Claude Opus 4.7 in coding and ...

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