Governing equations in the form of ordinary and partial differential equations are valuable models for physical systems. However they can be difficult to derive, making them unknown, particularly for ...

Data-driven science represents a transformative paradigm in materials science. Both data-driven materials science and informatics encompass systematic knowledge extraction from materials datasets.

This analysis is by Bloomberg Intelligence Industry Analyst Andrew Galler and Senior Associate Analyst Jack Maltby. It appeared first on the Bloomberg Terminal. Clinical trials represent a significant ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

Hybrid models are being applied increasingly to fermentation processes where they blend the benefits of mechanistic and data-driven modeling while minimizing their limitations. They also are faster to ...

Digitalization is transforming everything, and as a part of this, the technology-driven economic model (TDEM) continues to evolve. You may have heard of this model as a technology-based economy model.

Knowing the correct phase connectivity information plays a significant role in maintaining high-quality power and reliable electricity supply to end-consumers. However, managing the consumer-phase ...

In a world increasingly shaped by data, analytics, and artificial intelligence, the way we measure human intelligence is also evolving. Traditional paper-based ...

Those who pair innovation with disciplined execution will be best positioned to scale AI responsibly, intelligently and with ...