Turing Commences Development of Domestic Large Language Model (LLM) for Autonomous EVs

Turing Corporation, based in Kashiwa City, Chiba and led by CEO Issei Yamamoto, announces the commencement of development on a domestic Large Language Model (LLM) essential for achieving fully autonomous vehicles.

Relationship Between LLM and Fully Autonomous Driving

A Large Language Model (LLM) is an AI model that learns from vast amounts of text data to generate human-like text and answer questions. Turing believes that LLMs are crucial for achieving fully autonomous driving for the following reasons:

• Fully autonomous driving requires an AI that understands the world to an extent equal to or greater than humans.
• The power of LLMs lies in their ability to perceive and comprehend the world around them through language.
• LLM allows autonomous driving AIs to understand the world as humans do.

For more details, please refer to CEO Yamamoto’s article explaining why LLMs are necessary for fully autonomous driving:

Why LLMs are Essential for Fully Autonomous Driving
https://note.com/issei_y/n/n3f69256abc1c

Characteristics of Turing’s LLM

Turing is focusing on the following three aspects while developing their LLM:

1.Adaptability to the Real World:
The goal is to develop a multimodal AI that understands real-world information, such as visual and audio data, allowing the autonomous driving AI to act appropriately in different situations.

2.Real-time Performance and Computational Efficiency:
Instantaneous decision-making is critical while driving, requiring technologies that can compute efficiently and perform actions in real-time. This includes model compression and optimization for onboard hardware.

3.Safety and Robustness:
The technology must defend against external environmental threats and system attacks, and must be capable of responding appropriately to unforeseen circumstances.

Turing plans to research and develop LLMs to advance AI technology for autonomous driving.

For technical details, please refer to our tech blog:
Turing’s Strategy for Fully Autonomous Driving Using Foundation Models
https://zenn.dev/turing_motors/articles/bd575a1097a266

About Turing

Turing is startup with the stated mission, “We Overtake Tesla.” Their goal is to mass-produce fully autonomous EVs. It was co-founded in 2021 by Issei Yamamoto, developer of the AI shogi program “Ponanza” and a specially-appointed associate professor at Nagoya University, and Shunsuke Aoki, who earned his Ph.D. researching autonomous driving at Carnegie Mellon University. Turing is using deep learning AI technology to create a comprehensive autonomous driving society.

Company Overview

Company Name: Turing Inc.
CEO: Issei Yamamoto
Established: August 2021
Capital: 30 million yen (as of September 2022)
Headquarters: 4th Floor, East Tower, Gate City Osaki, 1-11-2 Osaki, Shinagawa-ku, Tokyo
Business: Development and manufacturing of fully autonomous EVs
URL: https://tur.ing

Recruitment Information

We are seeking team members to join us in creating fully autonomous driving software and EVs.
Recruitment page: https://www.turing-motors.com/jobs

Media Contact

Turing Inc. Public Relations : pr@turing-motors.com