"Adding machine learning capabilities to the Pacific Research Platform is the next logical step in enabling distributed data-intensive application teams. All of this community cyberinfrastructure is only possible because we can build on the world-class CENIC regional optical network." - Larry Smarr, Director Calit2
The National Science Foundation has issued a $1 million grant to Larry Smarr, director of Calit2, and his colleagues to create a community cyber infrastructure in support of machine learning research. The innovative project– Cognitive Hardware and Software Ecosystem, Community Infrastructure (CHASE-CI) – is intended to leverage the high-speed Pacific Research Platform (PRP) to address machine learning and its distinct hardware, software, and architecture needs.
Read the full HPC wire article here >
The realization that predictive climate research could be transformed by networked compute and data resources led to a breathtaking variety of research institutes in California. The next step is to accelerate this transformation by coordinating the institutes themselves so that they can each act as force multipliers for one another and for atmospheric, ocean, and climate research as a whole. That is the purpose of UC San Diego’s GAIA Initiative.
Vastly improved bandwidth and the emergence of AI-enabled tools—such as those made possible for CENIC members with CENIC AIR and NRP—have created a whole new era in weather prediction, climate modeling, and disaster preparedness.