What Happened After the Nature Paper: Ace vs. Professional Players
In our recent Nature paper, we outlined how Ace, our autonomous table tennis robot, could compete with and beat elite players in matches that took...
CVPR 2026: Sony AI's Latest in Computer Vision Research
The Computer Vision and Pattern Recognition conference (CVPR) brings together work that defines how machines see, reconstruct, and generate the...
Introducing Woosh: Sony AI's Sound Effect Foundation Model
Sony AI has been working on a problem most generative audio models have overlooked: sound effects. Specifically, the tools that sound designers, game...
Sony AI at ICASSP 2026: Research Roundup
Introduction Sony AI will present 11 accepted papers at ICASSP 2026 in Barcelona this May. The work spans music understanding, generative audio,...
Advancing AI: Highlights from April
April was a defining month for Sony AI. Project Ace, the table tennis research project five years in the making, reached the cover of Nature and...
Sony AI at ICLR 2026: Research Roundup
For several years, Sony AI has contributed research to the International Conference on Learning Representations (ICLR), engaging in conversations...
Inside Project Ace: Discover the Robot Athlete That Competes With Professional Table Tennis Players
On a recent afternoon in Tokyo, Sony AI Director and Lead Engineer, Peter Dürr, alongside project team members, watched a table-tennis ball vanish...
Studying the Risks and Benefits of AI Companions: Researchers Discuss a New Framework for Understanding AI Companionship
AI systems are beginning to occupy a new role in people’s lives.
Advancing AI: Highlights from March
This month, Sony AI's work spans the foundations of generative models and the frontiers of audio and signal processing research. More than 10 papers...