Arm and SoftBank Fund AI Research at Carnegie Mellon University

May 15, 2025
Arm and SoftBank Group have announced a $15.5 million contribution to Carnegie Mellon University to support AI research in collaboration with Keio University.

Arm and SoftBank Group have announced a contribution of USD 15.5 million to Carnegie Mellon University (CMU) to support its partnership with Keio University. This collaboration aims to accelerate global advancements in artificial intelligence, as stated in a press release.

The funding will provide CMU researchers with access to Arm's hardware and software tools, facilitating innovation and research in areas such as multimodal and multilingual learning, embodied AI for robotics, and AI for scientific discovery. Additionally, SoftBank Group will establish a fellowship to support Ph.D. students in AI research at CMU.

This initiative is part of a broader effort involving several global companies, including Amazon, Microsoft, and NVIDIA, which have collectively pledged USD 110 million to support AI collaborations between the United States and Japan. The partnership between CMU and Keio University is expected to unlock significant research potential and foster international leadership in AI.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.