The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

The future of work will demand fluency in both science and technology. From addressing climate change to designing ethical AI systems, tomorrow’s challenges will require interdisciplinary thinkers who ...

“There is no doubt that data science is one of the most challenging areas to recruit and retain teams,” says Richard James, senior data recruiter at tech recruitment and outsourcing consultancy Harvey ...

A hybrid computer uses rotating mechanical beams for memory and electrical contacts for logic, performing reprogrammable computation through physical motion in environments where conventional ...

A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach. 1. On Monday, July 19, 2021, in the middle of another strange pandemic summer, a leading computer ...

Discover and adapt fast-changing technologies. Computer science uses theory, experimentation, and engineering design to model and analyze problems to design and verify computing solutions. You'll ...

Last year, 18 percent of Stanford University seniors graduated with a degree in computer science, more than double the proportion of just a decade earlier. Over the same period at MIT, that rate went ...