Corporate leaders often look to AI for breakthrough innovations, but a faster and more reliable payoff lies in using it to ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

To meet urgent net-zero goals, the global energy system is shifting from fossil fuels to renewable sources such as solar and wind. Because these sources are intermittent, efficient storage and ...

Navigating through tunnels or underground parking structures is a notorious blind spot for GPS-based systems. Now, researchers have developed a novel deep learning-enhanced framework that enables ...

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each approach’s respective advantages.

Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations reveal that foam bubbles are always shifting, even while the foam keeps its ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.