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Tokyo-based artificial intelligence startup, Sakana AI, has successfully raised more than $100 million in a recent funding round. The funding was led by prominent investors, including Nvidia, New Enterprise Associates, Khosla Ventures, and Lux Capital. Sakana AI, co-founded by former Google researchers, aims to revolutionize the field of AI by developing smaller, more cost-effective models.

Unlike other AI startups that focus on creating large-scale models with extensive training data, Sakana AI takes a different approach. The company specializes in developing smaller models that are then combined to achieve higher efficiency and effectiveness. This unique strategy allows them to optimize AI technology in a way that is both practical and economical.

Sakana AI plans to collaborate with Nvidia on various AI research projects and will leverage Nvidia’s expertise to enhance their capabilities in data analysis and data center access. One of the primary goals of this partnership is to expand the AI talent pool in Japan and accelerate scientific discovery through the democratization of AI technology.

The CEO of Nvidia, Jensen Huang, praised Sakana AI for their efforts in advancing the widespread adoption of AI in Japan. He commended the startup for their cutting-edge foundation models that automate and accelerate scientific research. Sakana AI’s innovative approach is revolutionizing the AI landscape by making AI technology more accessible and affordable.

With the newly acquired funding, Sakana AI plans to expand its team and further develop its technology for creating smaller AI models. This financial boost will enable the company to continue its mission of making AI more widely available and affordable for various industries and applications.

Sakana AI’s success in securing substantial funding indicates the growing interest and investment in AI startups. Their unique approach to developing smaller AI models sets them apart in a rapidly evolving AI market, positioning them as key players in the future of AI technology.