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Anyscale

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Decks

Leveraging the Possibilities of Ray Serve in Implementing a Scalable, Fully Automated Digital Authentication Service (Tanja Bayer, Widas Technologie Services GmbH)
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240
How Smart is the ECG? Lessons from Advanced ECG Analytics (Dr. Peter Noseworthy, Mayo Clinic College of Medicine | Mayo Clinic)
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120
Fusion Computing at Ant Group (Dr. Charles He, Ant Group)
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77
Cloud Computing Made Better: An AWS View on Serverless Computing (Marvin Theimer, Amazon Web Services)
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99
JAX: Accelerated Machine Learning Research via Composable Function Transformations in Python (Matt Johnson, Google Brain)
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280
Towards Building a Responsible Data Economy (Dawn Song, UC Berkeley)
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230
Application of Online Resource Allocation Based on Ray (Fang Fengbin, Ant Group)
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130
Simplify Big Data & AI on Spark and Ray with MLSQL (Dong Li, Kyligence)
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170
Elements of Learning Systems (Tianqi Chen, Carnegie Mellon University | OctoML)
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130
Lessons from the Kubernetes Adventure (Eric Brewer, Google | UC Berkeley)
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140
DeepCoMP: Multi-agent Reinforcement Learning for Multi-cell Selection in 5G and Beyond (Stefan Schneider, Paderborn University)
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250
Mobile Order Click-Through Rate (CTR) Recommendation with Ray on Apache Spark at Burger King (Kai Huang, Intel & Luyang Wang, Restaurant Brands International)
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200
Improving Ray for Large-scale Applications (Hao Chen, Ant Group)
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150
Building High Availability and Scalability Online Computing Applications on Ray (Tengwei Cai, Ant Group)
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130
Achieving Scalability and Interactivity with Ray Serve (Jaehyun Sim & Amar Shah, Ikigai Labs)
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250
Neural MMO: Building a Massively Multiagent Research Platform with Ray and RLlib (Joseph Suarez, MIT | Neural MMO)
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260
Ray Internals: Object Management with the Ownership Model (Stephanie Wang & Yi Cheng, Anyscale)
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290
RayDP: Build Large-scale End-to-end Data Analytics and AI Pipelines Using Spark and Ray (Carson Wang, Intel Data Analytics Software Group)
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470

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