Part of a shared global effort to advance Artificial Intelligence
Across the global AI research landscape, leading institutions and research groups continue to advance foundational capabilities that shape the long-term future of intelligent systems. Their work spans reasoning, world modelling, embodied intelligence, distributed systems, and long-horizon security. Although each institution approaches these challenges differently, together they contribute to a shared scientific effort to understand and build more capable, responsible, and trustworthy AI.
We hold deep respect for these researchers, scientists, and engineers. Their rigour, discipline, and long-term vision have significantly shaped the field. Our references to their work are expressions of appreciation for the foundations they continue to build for the global research community.
Google DeepMind has consistently pursued long-horizon research into reasoning, world models, and planning systems. Its work informs many global discussions on how advanced AI systems may operate in complex environments and under uncertainty.
MIT CSAIL remains a leading center for foundational research across cognitive architectures, structured reasoning, robotics, distributed systems, and security. Its work highlights the importance of bringing together perception, reasoning, and physical interaction in future intelligent systems.
IBM Research has contributed significantly to neuro-symbolic approaches that combine statistical learning with structured reasoning. It is also a long-standing leader in quantum-safe cryptography, an increasingly important foundation for the secure operation of future AI systems.
We situate our research within this broader global landscape and draw inspiration from the community advancing it. We integrate reasoning, world modelling, distributed intelligence, Physical AI, and long-horizon security into a unified Native AI Intelligence framework - contributing a unique perspective to global research efforts.
We acknowledge and learn from the achievements of leading research institutions while contributing our own perspective through long-term research and experimental system development. As the global community continues to advance the science of intelligence, we believe each contribution plays a meaningful role in shaping intelligent systems that can serve humanity responsibly in the years ahead.