Particle accelerators are instruments to study the microstructure of the atomic nuclei and the elementary particles as well as to create new isotopes. They accelerate charged paticles such as electrons protons or ions near the speed of light via electromagnetic fields making them collide to reveal their inner structure or oscillate to emit syncrotron radiation. Mobiis Co., Ltd. designs and builds most of the equipment and systems required to monitor and control the particle accelerator beams and associated equipment.
A nuclear fusion reaction is a physical phenomenon in contrast with a nuclear fission reaction, where the nuclei of light elements, such as hydrogen, fuse with each other to form the nuclei of heavier elements, such as helium. The energy formed by mass defect is released as the kinetic energy of the emitted particles, and nuclear fusion R&D is the research applying this to power generation. It is a method of creating energy in the process of light atomic nuclei fusing to form heavier atomic nuclei at high temperatures of over 150 million℃; causing a chain reaction of these nuclear fusion for an explosion is the hydrogen bomb, and controlling it to obtain energy is nuclear fusion generation.
Machine Learning Project
Machine learning is a field of artificial intelligence that develops and improves engines through repeated learning on a machine based on big data, thus improving existing algorithms and obtaining optimal results. It can also be seen as a technology for establishing and inferring a learning model by discovering a hidden ‘pattern’ after analyzing data, and further, a field of science autonomously improving its performance based on the knowledge acquired from experience. Machine learning can be summarized as a field of creating new knowledge by allowing a computer to learn data, just as a person learns. The history of machine learning began after the 1950s, underwent growth during the 1980~1990s, stayed at a standstill for a while, and experienced significant progress since the mid-2000s.