OpenAI Bids for Japan Business as It Opens Tokyo Office 

Journalists are silhouetted at OpenAI’s press conference about the opening of its first Asia office in Tokyo, Japan April 15, 2024. (Reuters)
Journalists are silhouetted at OpenAI’s press conference about the opening of its first Asia office in Tokyo, Japan April 15, 2024. (Reuters)
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OpenAI Bids for Japan Business as It Opens Tokyo Office 

Journalists are silhouetted at OpenAI’s press conference about the opening of its first Asia office in Tokyo, Japan April 15, 2024. (Reuters)
Journalists are silhouetted at OpenAI’s press conference about the opening of its first Asia office in Tokyo, Japan April 15, 2024. (Reuters)

Microsoft backed artificial intelligence startup OpenAI made a pitch for business in Japan on Monday as it opened its first Asia office in Tokyo.

"This is just the first step in what I hope will be a long-term partnership with the people of Japan, government leaders, businesses and research institutions," OpenAI CEO Sam Altman said in a video message.

The startup, which has caused excitement among consumers since the launch of its ChatGPT generative AI chatbot in late 2022, is looking to grow new sources of revenue globally.

Altman and Chief Operating Officer Brad Lightcap have hosted hundreds of Fortune 500 company executives in the United States and Britain this month to pitch for business, Reuters has reported.

Last year Altman said he was considering a Japan location after meeting Prime Minister Fumio Kishida. The startup has also opened offices in London and Dublin.

Japan hopes to take advantage of AI as it looks to compete with an increasingly assertive China, accelerate the shift to digital services and alleviate deepening labor shortages.

"We have a backlog of demand," Lightcap told reporters in Tokyo, adding that "we expect a meaningful contribution from Japan over time," without providing details.

OpenAI said it has a custom model optimized for the Japanese language and that Tadao Nagasaki, who was president of Amazon Web Services in Japan, is heading the Japan business.

While the country is seen as a laggard in the technology, local companies including telcos SoftBank and NTT are investing in large language models.

OpenAI's customers in Japan include automaker Toyota Motor, manufacturer Daikin Industries and local government.

Microsoft said last week it would invest $2.9 billion over two years in cloud and AI infrastructure in Japan, part of a wave of investment globally by US tech giants.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.