The first thing I would like to say is that PFN does not solely focus on AI technology. For us, AI and machine learning are one of the means to realize our vision although we are often referred to as an AI company in media coverage. Machine learning is undoubtedly one of the most powerful tools, and PFN is very active in the research and development of machine learning and deep learning. PFN, however, does not only possess high-level machine learning skills but our true strength lies in our team’s ability to combine various expertise toward the applications of machine learning to the real world.
The fusion of hardware, software, and computer networks, in particular, is our forte. By considering advancements in computer architecture, high-performance computing, and machine learning at the same time, we can process data in a scale that has never been possible before. This gives birth to new applications as well as enabling us to acquire a deep knowledge as to what kind of architecture is best suited for machine learning. This leads to the creation of new computer architecture. Additionally, collaborations between hardware such as robotics and automobiles and software expand the application area of hardware. Robust control under various conditions vastly expands the areas where such hardware can be deployed. Leveraging machine learning to these fields has become one of the application areas of significant interest.
On top of that, we want to devise an evolutionary way to design and make hardware through the advancement of software. Instead of just applying software to existing hardware, we strive to initiate the evolution of hardware by having a deep understanding of and acquiring the capability to design hardware. Although software runs on hardware, these two areas have not been closely related to each other in a sense that hardware and software engineers usually do not work in close connection as a team. But we should aim for the creation of new technology through a powerful fusion of these two areas.
At PFN, we have not just hardware and software engineers and researchers but all kinds of people working together to create new technology. Life science and machine learning, animation and machine learning are just a few of many examples. Our team tries to combine multiple areas of specialty by deeply understanding each other’s field of expertise in order to bring into existence a new area of technology that would never be feasible if members were working individually on their own areas.