Hiroaki Kitano

Professor

Okinawa Institute of Science and Technology Graduate University

Japan

Research Interests

Explore related searches

Professors in Japan

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Hiroaki Kitano is a Professor at the Okinawa Institute of Science and Technology Graduate University in Japan. His research encompasses various areas, including humanoid robotics, toxicogenomics, molecular imaging, artificial intelligence ethics, marine biology, music retrieval, and computational systems biology, as reflected in his recent publications. He actively contributes to advancing knowledge in these fields through innovative approaches and interdisciplinary studies.

Articles (12)

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Collaborators (2)

Marc Gillespie

Professor

St. John's University

UNITED STATES

View details

Rudi Balling

Senior Professor

University of Bonn

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Hiroaki Kitano

Research Interests

Explore related searches

Contact this professor

About

Articles (12)

Stories of QRIO and PINO, and Beyond: Lessons Learned from Small Humanoid Projects From R&D to Business

DTox: A deep neural network-based in visio lens for large scale toxicogenomics data

Noninvasive, label-free image approaches to predict multimodal molecular markers in pluripotency assessment

Stockholm declaration on AI ethics: why others should sign

The Evolution, Assembly, and Dynamics of Marine Holobionts

Auxiliary self-supervision to metric learning for music similarity-based retrieval and auto-tagging

Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches

Human immune and gut microbial parameters associated with inter-individual variations in COVID-19 mRNA vaccine-induced immunity

Nicotinamide mononucleotide (NMN) alleviates the poly(I:C)-induced inflammatory response in human primary cell cultures

eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio–temporal architectures of cells

Outracing champion Gran Turismo drivers with deep reinforcement learning

Nobel Turing Challenge: creating the engine for scientific discovery

Collaborators (2)

Marc Gillespie

Rudi Balling

Make your next move.