Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

ABL Diagnostics (FR001400AHX6 – “ABLD”), a specialist in molecular diagnostics, bioinformatics and infectious disease solutions, today announces its strategic commitment to integrating Artificial ...

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

The car industry is evolving with the integration of agentic artificial intelligence (AI) in intelligent vehicles, revolutionizing the car manufacturing process through data-driven design and ...

(Nanowerk Spotlight) The pursuit of more efficient organic electronics, from OLED displays to organic solar cells, has been an enduring challenge across materials science. But the vastness of possible ...

Programmable material systems are emerging architectural structures but the co-design of structure, material, and external stimuli present grand challenges. A team with Northwestern Engineering’s Wei ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

Asia Society Northern California is organizing a full day, invite-only workshop in Washington, DC focused on the topic of understanding China’s technological competitiveness through data. This program ...

Digital transformation is likely a term you've heard in recent years. Though it's easy to write off as just another buzzword, the reality is that it's how businesses, including their marketing ...

Today’s data-driven marketing reality is practically unrecognizable compared to the industry landscape of just five years ago. The number of marketplace shifts that have happened in that seemingly ...