Artificial intelligence has the potential to solve some of science and industry's most vexing challenges. But for that to happen, it needs a new generation of computer systems. Today, AI's ever increasing sophistication is pushing the boundaries of the industry's existing hardware systems as users find more ways to incorporate various sources of data from the edge, internet of things, and more. In the continued pursuit of more advanced hardware for the AI era, IBM is working across its Systems, Research and Watson divisions to take a fresh approach to AI, which requires significant changes in the fundamentals of systems and computing design. To help achieve AI's true potential, IBM, with support from New York State (NYS), SUNY Polytechnic Institute, and the founding partnership members, today announced an ambitious plan to create a global research hub to develop next-generation AI hardware and expand their joint research efforts in nanotechnology.

Artificial intelligence has the potential to solve some of science and industry's most vexing challenges. But for that to happen, it needs a new generation of computer systems. Today, AI's ever increasing sophistication is pushing the boundaries of the industry's existing hardware systems as users find more ways to incorporate various sources of data from the edge, internet of things, and more. In the continued pursuit of more advanced hardware for the AI era, IBM is working across its Systems, Research and Watson divisions to take a fresh approach to AI, which requires significant changes in the fundamentals of systems and computing design. To help achieve AI's true potential, IBM, with support from New York State (NYS), SUNY Polytechnic Institute, and the founding partnership members, today announced an ambitious plan to create a global research hub to develop next-generation AI hardware and expand their joint research efforts in nanotechnology.