Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

This summer, Johns Hopkins will host a graduate student fellowship designed to prepare emerging data scientists to leverage the latest developments in generative artificial intelligence and machine le ...

In pet genetics, cancer research, and beyond, Charlie Lieu, MBA ’05, SM ’05, has spent her career harnessing massive data ...

Age VoicE, by Master of Information and Data Science alums Emma Choate, Vinith Kuruppu, and David Russell, aims to serve an ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

Growing up multiracial in the 1990s, Gabriel "Joey" Merrin regularly encountered demographic forms that forced an impossible choice: Pick one box. Deny the others. "That act of being forced to choose, ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Hyderabad, 11 February 2026: iHub-Data at IIIT Hyderabad has announced the launch of a six-month intensive training program in Artificial Intelligence and Machine Learning (AI/ML), aimed at upskilling ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...