The pathway Helena Ochoa followed to her current job as a scientist at Pfizer started in a learning lab at Fred Hutch Cancer Center. Ochoa first came to Fred Hutch on a high school field trip with her ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

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

Take our Readiness Self-Assessment to evaluate your skills and start your journey to success! Take the first step toward mastering data science with our tailored self-assessment tool. This resource ...

Explore early experiments to increase the discoverability of women’s history at the Smithsonian. Elizabeth A. Harmon Smithsonian American Women’s History Museum staff member Summer L. Hamilton, PhD, ...

Researchers have developed a digital laboratory (dLab) system that fully automates the material synthesis and structural, physical property evaluation of thin-film samples. With dLab, the team can ...

Science is a subject built on doing. Students learn chemistry through titrations, biology through dissections, physics through motion experiments, and earth science through field observations. That ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

STEM learning is critical for all students, regardless of their postsecondary path, but by high school, engagement often drops and students lose interest in critical subject matters. AI can make ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...