Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

As Enterprise AI matures from experimental chatbots to production-grade Agentic workflows, a silent infrastructure crisis is the VRAM bottleneck. Deploying a dedicated endpoint for every fine-tuned ...

What originated as a narrow procurement notice has grown into a broader effort that links machine-learning models with ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...

Orthopedic surgery has always evolved alongside technology, from advances in biomaterials to minimally invasive techniques.Today, however, the pace of innovation is accelerating. AI, robotic ...

Abstract: Nonnegative matrix factorization (NMF) is a powerful tool for signal processing and machine learning. Geometrically, it can be interpreted as the problem of finding a conic hull, which ...

Internally, the graph is normalized into a set of instances with structural signatures, so that identical models can share fits and be cached efficiently. Here is a ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

Abstract: Skeletonization is a popular shape analysis technique that models an object’s interior as opposed to just its boundary. Fitting template-based skeletal models is a time-consuming process ...