Conveners
Keynotes
- Ramin Yahyapour
Keynotes
- Ramin Yahyapour
Keynotes
- Florentin Wörgötter
Keynotes
- Florentin Wörgötter
Robotics and AI are often thought of as science. The Robotics Society of Japan is "Nippon Robotto Gakkai" in Japanese. "Nippon" means "Japan", "Robotto" means "robot", and "Gakkai" is the combination of two words, "Gaku" and "Kai". "Kai" means "society" in English, but "Gaku" is neither "science" nor "technology". "Gaku" means disciplines related to the field. "Robotto Gaku" means disciplines...
The generalizations of complex numbers considered here differ from well-known generalizations such as quaternions, octonions, bicomplex and multicomplex numbers and Clifford algebras, to name some of the well-known ones, in at least two fundamental respects.
First of all, products of elements of such traditional algebraic structures are explained by the fact that certain expressions in...
The rapid advancement of large-scale language models (LLMs) is
bringing about a transformative era in language processing technology.
Traditionally, developing models that are capable of effectively
handling language expressions with the same level of freedom and
complexity as human intelligence has been extremely difficult.
Specifically, in the field of semantic parsing, there has been...
In recent months, there has been an increasing discussion about the advances of AI Technologies and their potential effects on society, particularly the negative ones.
In this talk, we will start with an overview of the current field of AI Safety and present the most prominent research agendas. Then, we will move on to interpretability research, specifically focusing on "Discovering Latent...
We stand at the threshold of a transformative period, defined by the remarkable advancements in large language models (LLMs). Given their prowess, there's a burgeoning interest in expanding LLMs to vision and language (VL) tasks, where models harness the capabilities of LLMs to analyze both visual and textual data concurrently.
In this talk, I will introduce our research that delves into...
Since the use of point cloud data by deep learning has become widespread, research on neural networks for handling point clouds and methods for handling 3D data has been focused in this research area. When data points are not arranged on a grid and are not sequential, they are referred to as "irregular data structures". For such data, including point clouds, graphs, and tabular data, it is...
