Skip to content
GCC AI Research

Search

Results for "University of Tokyo"

MBZUAI hosts Augmented Humans Conference for the first time in the Middle East with record submissions

MBZUAI ·

MBZUAI is hosting the Augmented Humans International Conference 2025 in the Middle East for the first time, in cooperation with the ACM. The conference focuses on physical, cognitive, and perceptual augmentations of humans through digital technologies. 30 papers were selected from 77 submissions, with participation from researchers from institutions like MIT Media Lab and the University of Tokyo. Why it matters: This event underscores the UAE's commitment to AI research and human-computer interaction, fostering collaboration and driving progress in augmentation technologies for societal benefit.

Humanoid Robots and the Computational Problems Regarding the Human

MBZUAI ·

Yoshihiko Nakamura from the University of Tokyo discusses the computational challenges of humanoid robots, extending beyond sensing and control to understanding human movement, sensation, and relationships. The talk covers recent research on mechanical humanoid robots with a focus on actuators and computational problems related to human movements. Nakamura highlights the need for humanoid robots to interpret human actions and interactions for effective application. Why it matters: Addressing these computational challenges is crucial for developing more sophisticated and human-compatible robots for use in various human-centered applications within the region and globally.

Adapting to Distribution Shifts: Recent Advances in Importance Weighting Methods

MBZUAI ·

This article discusses distribution shifts in machine learning and the use of importance weighting methods to address them. Masashi Sugiyama from the University of Tokyo and RIKEN AIP presented recent advances in importance-based distribution shift adaptation methods. The talk covered joint importance-predictor estimation, dynamic importance weighting, and multistep class prior shift adaptation. Why it matters: Understanding and mitigating distribution shifts is crucial for deploying robust and reliable AI models in real-world scenarios within the GCC region and beyond.

AI for Engineering Design

MBZUAI ·

Nobuyuki Umetani from the University of Tokyo presented a talk on using AI to accelerate simulations and optimization for 3D shape designs. The talk covered interactive approaches integrating physical simulation into geometric modeling. Specific applications discussed included musical instruments, garment design, aerodynamic design, and floor plan design. Why it matters: This highlights growing interest in AI techniques at MBZUAI and across the GCC for streamlining engineering design and simulation processes.