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SUN 9 JUN
8:30 a.m.
:
Machine Learning Tools and Applications at Wolfram Research
9:30 a.m.
:
Arion: a next-generation distributed deep learning virtual machine
10:30 a.m.
:
Generative Models for Drug discovery
:
Texar: An open-source modularized, versatile, and extensible toolkit for Text Generation and Beyond
11:30 a.m.
:
How to build hyperlocal weather forecast with machine learning techniques on a global scale
:
Machine Learning Applications in Financial Data Analysis
noon
:
CatBoost — the new generation of Gradient Boosting
12:30 p.m.
:
Baidu’s Initiative in Creating the Future of Intelligent Transportation
:
AI for Social Good
2 p.m.
:
AutoML Suite: From parallel Modeling to Enterprise Scenarios
:
Mapping high-throughput DNA sequencing reads with learned index structures
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Reaching intent estimation via approximate Bayesian computation
:
Petuum Neurobot Interactive QA Engine in Multiple Languages Live Demo
:
Declarative On-Device Machine Learning
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Petuum Neurobot Chic - Fashion AI Live Demo
:
PetuumMed Healthcare AI Live Demo
:
Interactive Machine Learning with Wolfram Notebooks
:
Transcending Federated Learning through Manna
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Addressing practical barriers to optimizing applied learning models
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Petuum Arion – A Highly Scalable Machine Learning Engine Live Demo
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Imagine-api, a python3 SDK for performing predictions using doc.ai tensorflow models
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Machine Learning for Drug discovery
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Training Machine Learning Models in the Wolfram Language
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Machine Learning for All-Inclusive Finance
:
Real World Reinforcement Learning Workshop
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Recent Work on Machine Learning at NAVER
3 p.m.
:
Optimize/profile deep learning on Apache Spark with the latest Intel DL Boost Technologies and Intel Parallel Studio
:
Visualizing personal genomics with genewall-tensor
4:30 p.m.
:
Flea: An open source framework for federated learning
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AI transformation in Sberbank
5:30 p.m.
:
Terabyte-scale exposomic, genetic, sociodemographic, and health data for building your cohort for precision medicine
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NLP Architect by Intel AI Lab