Machine learning engineer is one of the most in-demand IT career categories right now. That reality is thanks to the rapid ...

Learning engineering has taken many forms since the term was coined by Herbert Simon back in the 1960s. Ellen Wagner, who chairs IEEE's ICICLE SIG on Learning Engineering Among the Professions offers ...

"Learning is one of the most personal things that people do; engineering provides problem-solving methods to enable learning at scale. How do we resolve this paradox?" —Ellen Wagner Learning ...

As organizations worldwide adopt machine learning across virtually every industry, the demand for machine learning engineers is on the rise. Anyone with “machine learning” in their job title, or even ...

Today, there are several AI engineer roles that require fundamentally different skill sets, workflows and operating models.​ ...

Computers can calculate complex equations, detect patterns, and solve problems faster than the human brain ever could. Artificial intelligence (AI) is the science of making intelligent machines and ...

Now enrolling students for Fall 2020, the Drexel University Department of Electrical and Computer Engineering is proud to announce our latest innovative graduate program, the Master's of Science in ...

The rapid acceleration of AI adoption across industries is reshaping not only products, but also the engineering roles that support them. As organizations move machine learning systems from ...

The online Master of Science in Engineering Education (MSENE) goes beyond increasing professionals’ technical expertise. Through hands-on learning, this program prepares innovators, problem-solvers ...

Across the country, schools are grappling with academic fallout from the pandemic. Math and reading scores have plunged, while abseentism has skyrocketed. Covid exacerbated inequities and created new ...

Shape the future of engineering education. Our Doctor of Philosophy program in engineering education seeks to improve the education of engineers through research, project-based learning paradigms and ...