Tag: RISELab

The Next Data Revolution: Intelligent Real-Time Decisions

Apr 10, 2017 |

Over the past decade, big data analysis and applications have revolutionized practices in business and science. They enabled new businesses (e.g., Facebook, Netflix), to disrupt existing industries (e.g., Airbnb, Uber), and accelerated scientific discovery (genomics, astronomy, biology). Read more…

Meet Ray, the Real-Time Machine-Learning Replacement for Spark

Mar 28, 2017 |

Researchers at UC Berkeley’s RISELab have developed a new distributed framework designed to enable Python-based machine learning and deep learning workloads to execute in real-time with MPI-like power and granularity. Read more…

RISELab Takes Flight at UC Berkeley

Jan 24, 2017 |

UC Berkeley yesterday officially launched the RISELab, the successor to the highly successful AMPLab that produced superstar open source technologies like Apache Spark and Apache Mesos. There’s no telling what, if any, RISELab projects will strike a chord like Spark and Mesos did. Read more…

RISELab Replaces AMPLab with Secure, Real-Time Focus

Oct 31, 2016 |

UC Berkeley AMPLab will shut its doors in December after six years of delivering major technological innovations like Apache Spark, Apache Mesos, and Alluxio. Taking its place is the RISELab, which will focus its efforts on delivering a secure real-time decision stack, dubbed SRDS. Read more…