The statistician, whose research covers machine learning and big data analysis, leaves Florida for Zhejiang's Westlake University Award-winning data scientist She Yiyuan has left the United States to ...

Merit is making its Scholars program widely available. It's a team of experts to fine-tune generative AI models for ...

In this interview, Professor James J. Collins, founder of the field of Synthetic Biology, discusses his journey to founding ...

The future of EE-Engineering is full of exciting possibilities! We’re looking at things like cars that drive themselves, ...

ChatEHR accelerates chart reviews for ER admissions, streamlines patient transfer summaries and synthesizes complex medical histories.

Medical devices are becoming more capable, more complicated, and more deployable in the field rather than in a hospital or a doctor’s office. But getting these purpose-built devices into the hands of ...

The data center industry is in the early days of a wave of demand for the inference computing through which users interact with AI models.

A 2024 Rand report also found that inadequate data infrastructure is a major factor in AI projects failing. In today’s digital economy, data isn’t just fuel—it’s the foundation.

Professor Kaiyuan Yang, an expert in electrical and computer engineering, leads the team at the Secure and Intelligent Micro-Systems (SIMS) Lab. His goal: to make sure these advanced medical ...

Staying up to date with the latest evolutions of data engineering is critical to continue to feed quality data into today’s—and tomorrow’s—big tech. Experts joined DBTA ’s webinar, Top Trends in Data ...

Data engineering is the next big thing, right? With all of the hype surrounding AI and data, our industry should have this squared away, but we don’t. In fact, data engineering is the confused team.