A big problem in space research is whether the same stars or galaxies are seen in different sky surveys. Telescopes today gather a ton of data about thousands or even billions of objects using various types...
Providing a virtual environment that matches the actual world, the recent widespread rise of 3D applications, including metaverse, VR/AR, video games, and physical simulators, has improved human lifestyle and increased productive efficiency. These programs are based...
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...
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...
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...
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 Technologies uses machine learning models to perform a diversity of tasks, from improving our maps to streamlining chat communications and even preventing fraud....
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' 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 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...
'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 recently open-sourced its model-agnostic visual debugging tool 'Manifold' for machine learning models. The objective of this tool is to help data...
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...
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