I do two things. I design mobile computers and I study brains.

The quote "I do two things. I design mobile computers and I study brains" by Jeff Hawkins reflects his unique approach to technology and neuroscience. Hawkins, best known for his work in mobile computing and as the founder of Palm Computing, is expressing how his professional life is split between two distinct fields: designing mobile computers and exploring the complexities of the brain. The quote highlights his dual interests in both the technical world of computing and the biological processes that underpin human cognition.

The origin of this quote lies in Hawkins’ deep fascination with the human brain and his work on neuroscience. After his success with mobile devices, he shifted much of his focus to understanding how the brain works, particularly through his development of the memory-prediction framework, a theory on how the brain processes and predicts sensory information. His studies in the field of neuroscience have influenced his views on computing, leading him to draw parallels between the brain's functioning and how computers might be designed to simulate human-like intelligence.

By stating that he "designs mobile computers" and "studies brains," Hawkins emphasizes the connection he sees between technology and neuroscience. He recognizes that advancements in computing can benefit from a deeper understanding of how the human brain operates. This integration of brain science and technology design shows how Hawkins has sought to create more intelligent and adaptive devices, inspired by the very processes that allow the brain to learn and predict.

In essence, Hawkins' quote reveals his interdisciplinary approach to both his work in technology and his exploration of neuroscience. He believes that by understanding the brain more deeply, he can create computers that are not only more efficient but also more aligned with how humans naturally think and process information. This perspective is at the forefront of research in artificial intelligence and machine learning today.