The promise of AI revolutionizing the modern workplace is a rather seductive one. You feed it your data, find patterns that might have been missed, and optimize your decisions based on said findings.

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. Every day we hear about new ways automation is transforming ...

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

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...

• UPS saves 10 million gallons of fuel and $50 million each year because of their algorithm-powered Orion (on-road integrated optimization and navigation) platform. With their dynamic parceling ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...