Applications to the 2022 INNO-vation Program are now open globally. | Find out more→
2019 INNO-vation Disruptive Challenger
As a result of the high light pollution seen in the night sky of Tokyo, it is difficult to see many of the billions of stars in the night sky. Utilizing machine learning, this technology is able to visualize a "beautiful night sky" with very little effort of the user. As a result, the threshold for entry into astrophotography can be significantly lowered, it would also be possible to implement this technology into existing technology such as smartphones and cameras. This research hopes to improve the accuracy of the DNN (Deep Neural Network) model itself.
Born in Wakayama Prefecture, Takuya Ikoma has a Master's degree in Physics from Okayama University. Having worked as a software engineer, he is now a data scientist at a semiconductor manufacturer.
Development of an "Fluidized Bed Interface" Using the Fluidized Bed Phenomenon to Liquefy Granular Material
Development of a Unit Module for Three-Dimensional Object Modeling Varying in Color due to Gaze Direction and Time
Up to 3,000,000JP¥ in Support to Make Your Ideas a Reality | Applying to the INNO-vation Program2022/05/26 12:00