Introduction to an EEG time-series machine learning project using Python, from setting up the environment to the first steps.

At Carnegie Mellon, our faculty is pioneering the use of AI in engineering and preparing the next generation of engineers to do the same. By partnering with Learning Engineers ... Each topic ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry.

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National ...

OpenAI introduced its most advanced models to date, o3 and o4-mini. These models represent a major step forward in the field ...

Fault Detection Model Development using AI Faults using sensor data can be detected by artificial intelligence techniques such as machine learning and neural networks ... for output classification. In ...

Below are a few project highlights from the course. Team Kiwi is using machine learning to inform personalized treatment for amyotrophic lateral sclerosis (ALS) patients, a progressive ...

13 Data on our early-stage pipeline and machine learning (AI) showcase how we are deepening our understanding of new diseases through technology and exploring new pathways in COPD: ...

data will evaluate the impact of TEZSPIRE on OCS use in OCS-dependent patients with severe asthma. 11 Data on our early-stage pipeline and machine learning (AI) showcase how we are deepening our ...