In Nextremer, we collaborate with companies and universities to do fundamental research on Artificial Intelligence and develop technology applications based on the results.

When our researchers and engineers collaborate with external organizations from diverse fields, novel ideas are born.

We believe there is no such a thing as trivial ideas.
In Nextremer, we value the importance of trial and error as a source of knowledge.

We are convinced that through this culture we can achieve our mission of scaling up technology.

FIELDS OF STUDY

Multimodal Conversation Systems
Deep Learning Applications for Conversational Models
Deep Reinforced Learning
Quantum Algorithms
General AI
Logic Analysis Applications with Lattice and Categorical Theory
Architecture to Provide AI Component

ACADEMIC CONFERENCES AND SYMPOSIUMS

Adiabatic Quantum Computing Conference 2017

Batch-learning self-organizing map with quadratic unconstrained binary optimization (toward application to Ising machine)

Speaker:Tomohiko Abe, Taichi Iki, Shu Tanaka

Outline:Adiabatic Quantum Computing Conference 2017

2017/06/26

79th National Congress of the Information Processing Society

Comparative study of the Repetitive Utterance Detection Method as an Aid to Estimate Response Obligation

Speaker:Yuta KawaiHirota FujitaAkihiro Tanikawa, Shun Yamashita, Kotaro Funakoshi

Outline:79th National Congress of the Information Processing Society (1C-01) (Japanese only)

Repetitive Utterance Detection Based on Sequenced Data Classification

Speaker:Hirota Fujita, Yuta Kawai, Akihiro Tanikawa, Shun Yamashita, Kotaro Funakoshi

Outline:79th National Congress of the Information Processing Society (6M-07) (Japanese only)

2017/03/16

COLING 2016

AI-Samurai as a Multimodal Conversation System Exhibition

Outline:COLING 2016

2016/11/16

7th Language and Voice Recognition Conference by the Artificial Intelligence Society SIG-SLUD

Introduction of the Dialogue Platform Engine "A.I.Galleria"

Outline:7th Conversation Systems Symposium

2016/10/05

6th Language and Voice Recognition Conference by the Artificial Intelligence Society SIG-SLUD

AI-SAMURAI: Development of Dialog Robot a Using Multimodal Interactive System

Outline:6th Conversation Systems Symposium

2015/10/30

RESEARCH PROJECTS

Multimodal Dialog Engine: A.I. Galleria
This engine, equipped with multiple artificial intelligence technologies enhances the conversation sustained via voice with subject recognition using image processing of real time feed from a camera. Using personal recognition on top of the language processing, the system can optimize the conversation depending on the speaker for a more suitable experience.
Conversational Robot: AI-Samurai
This is a use case of a robot built with various technologies such as A.I.Galleria to sustain human like conversations.

CONTACT