Uber

This is How Uber Uses Machine Learning and Linear Programming to...

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Push notifications serve as an essential gateway for Uber Eats customers to discover new restaurants, promotions, new offers for groceries and alcohol, and most...

Uber Explores Deep Learning To Develop ‘DeepETA’: A Low-Latency Deep Neural...

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Web mapping services like Google Maps are excellent tools to dynamically navigate portions of the Earth. They are used daily by businesses that rely...

Uber Releases V1.1 of Orbit: A Python Package to Perform Bayesian...

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Last year, the Uber team introduced Orbit, a Bayesian time series modeling user interface which is simple to use, adaptable, interoperable, and high-performing (fast...

Uber Research Introduces ‘CRISP’: A Tool To Extract Critical Paths From...

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Microservices architecture consists of a collection of small, self-contained services. Each service should implement a particular business capability and be self-contained within a bounded...

Researchers At Uber AI And Open AI Introduce Go-Explore: Cracking The...

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Learning from rewards is an unsaid practice among all. The above is also the guiding insight behind a family of algorithms that used deep...

Researchers From Uber And CMU Develop An AI Language Model That...

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AI-driven assistants are gaining significant traction in the modern world. AI assistants, like Alexa and Siri, need to exhibit apt social behavior to engage users...

Uber Engineering Releases Horovod v0.21: New Features Include Local Gradient Aggregation...

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Horovod announces its v0.21 and brings many powerful new features to the Horovod community, making training deep learning models faster and easier than ever...

Uber Open-Sources Ludwig v0.3: The Third Update To Its Code-Free Deep...

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Uber Technologies uses machine learning models to perform a diversity of tasks, from improving our maps to streamlining chat communications and even preventing fraud....

Neuropod: Uber ATG’s Open Source Deep Learning Inference Engine

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Uber Advanced Technologies Group (ATG) recently open-sourced Neuropod, a framework that provides a uniform interface to run deep learning models from multiple frameworks in...

Horovod: Uber’s Open Source Distributed Deep Learning Framework

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'Horovod' is an open-source distributed deep learning framework created by Uber's AI team. This framework is used for applications in TensorFlow, Keras, PyTorch, and...

Uber Open-Sources ‘Fiber’, A Python Distributed Computing Library For Modern Computer...

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Uber Introduces Fiber, a Python-based distributed computing library for modern computer clusters. Now you can code/program your computer cluster instead of programming your desktop...

This Python Package ‘Causal ML’ Provides a Suite of Uplift Modeling...

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'Causal ML' is a Python package that deals with uplift modeling, which estimates heterogeneous treatment effect (HTE) and causal inference methods with the help...

Uber Open-Sourced ‘Manifold’: A Visual Debugging Tool for Machine Learning

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Uber recently open-sourced its model-agnostic visual debugging tool 'Manifold' for machine learning models. The objective of this tool is to help data...

Uber’s Plug and Play Language Model (PPLM) Allows Steering Topic and...

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It's impressive that Generative models like Open AI's GPT-2 automatically create texts using limited input. But controlling the attributes (topics, context, sentiment) of these...

Uber may be the next big Tech Company breaking into the...

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Healthcare is a very large business, and there are so many different tech companies that are getting into the healthcare industry based off of...

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