Stevens Master of Data Science graduate Vandna Rajpal and her team, Neural Navigators, received first place at the D3CODE 2025 Global Hackathon. Her team designed Predicting and Reporting Insights ...

The approximately 5 billion people who use the internet daily leave traces of their activity behind. Companies use these data to learn user interests, purchase history, and other browsing habits, and ...

Organizations that build platforms that “learn before acting” will spend less time firefighting and more time shipping ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

In this academy, you’ll explore how data scientists analyze real-world data to uncover meaningful insights. Through hands-on projects, you’ll learn the fundamentals of data analysis and machine ...

Abstract: Heavy-lift electric vertical take-off and landing aircraft (eVTOL) play a vital role in advancing the low-altitude economy by enabling the transportation of high payloads in dense urban ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

GDF-MIL (Graph-Driven Fusion Multiple Instance Learning) is a novel graph-driven multi-instance learning framework that adaptively balances topology modeling and semantic feature preservation through ...

Early humans and their ancestors did not always stand at the top of the food chain. Fossil evidence and environmental clues suggest several extinct predators shared the same territories and resources.