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Discover local programs and online resources to launch and scale your business.

"YouTube-8M is a large-scale labeled video dataset that consists of 8 million YouTube video IDs and associated labels from a diverse vocabulary of 4800 visual entities. It also comes with precomputed state-of-the-art vision features from billions of frames, which fit on a single hard disk. This makes it possible to train video models from hundreds of thousands of video hours in less than a day on 1 GPU! "

"Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface."

"CLOUD SPANNER BETA The first horizontally scalable, globally consistent, relational database service"

The challenges of realizing Google's mission and the enormous scale of Google's operation lead to fundamental questions in Computer Science and Engineering; the technical excitement of this, and the real and practical benefit we can bring to Google's users through our integrated approach, all contribute to the excitement of doing research at Google. More about Google Research

Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers. Many projects at Google store data in Bigtable, including web indexing, Google Earth, and Google Finance.

In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at least 24 million pages is available at ..

A planetary-scale platform for environmental data & analysis Google Earth Engine brings together the world's satellite imagery-trillions of scientific measurements dating back more than 25 years-and makes it available online with tools for scientists, independent researchers, and nations to mine this massive warehouse of data to detect changes, map trends and quantify differences to the earth's surface.

Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers. Many projects at Google store data in Bigtable, including web indexing, Google Earth, and Google Finance. These applications place very different demands on Bigtable, both in terms of data size (from URLs to web pages to satellite imagery) and latency requirements (from backend bulk processing to real-time data serving). Despite these varied demands, Bigtable has successfully provided a flexible, high-performance solution for all of these Google products.

The challenges of realizing Google's mission and the enormous scale of Google's operation lead to fundamental questions in Computer Science and Engineering; the technical excitement of this, and the real and practical benefit we can bring to Google's users through our integrated approach, all contribute to the excitement of doing research at Google.

GoldenOrb is a cloud-based open source project for massive-scale graph analysis, built upon best-of-breed software from the Apache Hadoop project modeled after Google's Pregel architecture.

"Compute Engine Run large-scale workloads on virtual machines hosted on Google's infrastructure. Choose a VM that fits your needs and gain the performance of Google's worldwide fiber network."

"Internet of Things. There is the potential for 50 billion connected devices by 2020. Google Cloud Platform gives you the tools to scale connections, gather and make sense of data, and provide the reliable customer experiences that hardware devices require."

The challenges of realizing Google's mission and the enormous scale of Google's operation lead to fundamental questions in Computer Science and Engineering; the technical excitement of this, and the real and practical benefit we can bring to Google's users through our integrated approach, all contribute to the excitement of doing research at Google. More about Google Research

"Our AI-focused venture fund invests in and connects startups with Google's resources, innovation, and technical leadership in artificial intelligence. We bring Google smarts and scale to promising, early-stage startups, providing innovators with funding, resources, and dedicated access to world-class people and practices in this area. Our fund focuses on helping founders navigate the challenges in developing AI-based products, from leveraging training datasets to helping companies take advantage of the latest techniques, so that great ideas can come to life."

'We are part of the Machine Perception Research organization at Google which tackles the hard problems of understanding images, sounds, music and video. Our long-term technology mission is to enable machines to achieve human-level intelligence in sensory perception, often at super-human scales. '

"Cirq is a software library for writing, manipulating, and optimizing quantum circuits and then running them against quantum computers and simulators. Cirq attempts to expose the details of hardware, instead of abstracting them away, because, in the Noisy Intermediate-Scale Quantum (NISQ) regime, these details determine whether or not it is possible to execute a circuit at all."

"Build fast, reliable, and efficient software at scale Go is an open source programming language supported by Google."

"Google Spotlight Stories means storytelling for VR. We are artists and technologists making immersive stories for mobile 360, mobile VR and room-scale VR headsets, and building the innovative tech that makes it possible. Enjoy the experience - look, listen, explore - and never worry that you'll miss anything."