If scaled up successfully, the team's new system could help answer questions about certain kinds of superconductors and other unusual states of matter.
Specialist for strategic and technical engagement for scientific computing systems
Areas of research: S3DF (SLAC Shared Science Data Facility); evaluating technologies for massive scale analytics; forming partnerships with technology providers; developing and recruiting computing skills and competencies; supporting science users’ requirements and operational issues; creating business models and technology roadmaps...
SLAC researcher Sadasivan Shankar talks about a new environmental effort starting at the lab – building a roadmap that will help researchers improve the energy efficiency of computing, from devices like cellphones to artificial intelligence.
TID leverages its state-of-the-art scientific expertise in exploiting the electromagnetic spectrum and in advanced instrumentation to develop novel technologies.
Machine Learning (ML) algorithms are found across all scientific directorates at SLAC, with applications to a wide range of tasks including online data reduction, system controls, simulation, and analysis of big data.
