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Tag: RISELab

Why Every Python Developer Will Love Ray

There are many reasons why Python has emerged as the number one language for data science. It's easy to get started and relatively forgiving for beginners, yet it's also powerful and extensible enough for experts to take Read more…

Ray’s New Library Targets High Speed Reinforcement Learning

Data scientists looking to push the ball forward in the field of reinforcement learning may want to check out RLlib, a new library released as open source last month by researchers affiliated with RISELab. According to r Read more…

The Next Data Revolution: Intelligent Real-Time Decisions

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), Read more…

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

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. Ca Read more…

RISELab Takes Flight at UC Berkeley

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, R Read more…

RISELab Replaces AMPLab with Secure, Real-Time Focus

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 Read more…

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