It’s been roughly 30 years since the desktop computer revolutionized the way the graphic design industry works. For decades before that, it was the hands of industrious workers and various ingenious machines and tools that brought type and image together on meticulously prepared paste-up boards, before they were sent t
Before MRI, the inner workings of the human body were a mystery, glimpsed only through dissection or experimentation. Today, this technology doesn’t just allow doctors to better understand anatomy—it is also reducing costs, eliminating unnecessary procedures, and most importantly, saving lives.
“Some people say, ‘Oh, I have the Monday morning problems’ or the ‘Sunday afternoon blues’ because you have to go to work, but I never have that. I really go to work fully aware of what we are doing and fully aware of the necessity of what we are doing,” said Dr. Jean Claude Zenklusen, director of The Cancer Genome Atl
Intelligence Advanced Research Projects Activity (IARPA) was created in 2006 to advance the development of research and technology used to achieve the intelligence goals of the United States and “avoid technological surprise.”
I’ve been drawing since I was two years old. I had been getting in trouble my entire life for drawing in class, and on the suggestion of one of my teachers, I tried out for the High School of Art and Design. I majored in advertising and illustration while learning from masters of their trade. Later, I attended the Scho
When Steve Jobs returned to Apple in 1997 after it acquired NeXT, he brought with him a close-knit group of engineers. One of them was Scott Forstall, a young software designer who had come to NeXT directly from Stanford University.
What could your computer or phone do if it knew what you were thinking? Are men or women more expressive? Do cultures express their emotions differently? And what is the Mona Lisa thinking already? Affectiva knows.
On May 19, the Computer History Museum hosted Stanford Graduate School of Business Associate Professor Dr. Michal Kosinski for a riveting conversation about the intersection of social media information, machine learning, and politics.
Tony Fadell doesn’t fit the Silicon Valley mold. His parents were neither engineers nor scientists, but his grandfather gave him a passion for both building things and for design. His grandfather recognized his love for computing and offered to match whatever the then 11-year old Fadell had to help him buy his first co
On April 19, 2017, three generations of the Draper family joined Marguerite Gong Hancock on the CHM Live stage at the Computer History Museum as part of a series of programs organized by the Exponential Center. Exponential focuses on capturing the legacy and advancing the future of innovation and entrepreneurship.
