I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

The enterprise knowledge graph is a knowledge representation system based on graph structures. It integrates multi-source data from both internal and external sources (such as business information, ...

New architecture fuses real-time transactions and analytics in one platform, with breakthrough performance and full fidelity at unprecedented scale ...

Optimization and architecture definition in chip design is important, but there's a downside to too much customization.

The future of AI applications lies in moving beyond single-shot generation to modular systems composed of intelligent, ...

The credit quality of the high yield bond market has improved substantially since its inception, particularly after the Great ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

Caroline Uhler is an Andrew (1956) and Erna Viterbi Professor of Engineering at MIT; a professor of electrical engineering and computer science in the ...

AI is already rapidly redefining how we discover and design biologics, and as CTO at Cytiva, I’ve had the privilege of ...

These capabilities not only reduce security risk but also lead to measurable cost savings. Implementation is fast, with some platforms delivering ROI in as little as 30 to 60 days. That speed matters ...

To illustrate, I’ve chosen the cases of Armenia, Vietnam, and Poland. These existing states share a history marked by porous ...

Brex reports on essential corporate credit card benefits that boost financial management, such as real-time visibility, high ...