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Fast and Accurate Document Detection for Scanning
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
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The latest blog posts to take off on Hacker News. 3,242 posts.
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Special projects
Impactful scientific work requires working on the right problems—problems which are not just interesting, but whose solutions matter.
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Introducing Google Cloud Natural Language API, Speech API and New Data Center
Following our announcements from GCP NEXT in March, we’re excited to share updates about Cloud Platform expansion and machine learning . Today we’re launching two new Machine Learning APIs into open beta and expanding our footprint in the United States.
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Windows Hello face recognition is vulnerable to the Jedi mind trick
Practical development throughout the evolution of Windows.
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Generating Recommendations at Amazon Scale with Apache Spark and Amazon DSSTNE
In this post, I discuss an alternate solution; namely, running separate CPU and GPU clusters, and driving the end-to-end modeling process from Apache Spark.
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The Problem with Reality
Discover all the Meta Quest VR entertainment experiences. Enjoy streaming your favorite VR movies, tv shows, and live sport events. With VR, your living room is better than the theater.
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Wide and Deep Learning: Better Together with TensorFlow
Posted by Heng-Tze Cheng, Senior Software Engineer, Google ResearchThe human brain is a sophisticated learning machine, forming rules by memorizing...
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We built voice modulation to mask gender in technical interviews
We built software to mask gender in technical engineering interviews. See what we learned and why it matters.
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Concrete AI Safety Problems
We (along with researchers from Berkeley and Stanford) are co-authors on today’s paper led by Google Brain researchers, Concrete Problems in AI Safety. The paper explores many research problems around ensuring that modern machine learning systems operate as intended.
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OpenAI technical goals
OpenAI’s mission is to build safe AI, and ensure AI’s benefits are as widely and evenly distributed as possible.
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Generative Models
This post describes four projects that share a common theme of enhancing or using generative models, a branch of unsupervised learning techniques in machine learning. In addition to describing our work, this post will tell you a bit more about generative models: what they are, why they are important, and where they…
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Announcing Google Research, Europe
Posted by Emmanuel Mogenet, Head of Google Research, EuropeGoogle’s ongoing research in Machine Intelligence is what powers many of the products be...
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AI produces realistic sounds that fool humans
A video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.
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Machine learning for financial prediction
Machine learning for trading is a huge domain, but not all applications are practical in terms of making your money grow. Let's find out what really works!
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AI, Deep Learning, and Machine Learning: A Primer [video]
watch time: 45 minutes “One person, in a literal garage, building a self-driving car.” That happened in 2015. Now to put that fact in context, compare this to 2004, when DARPA sponsored the very first driverless car Grand Challenge. Of the 20 entries they received then, the winning entry went 7.2 miles; in 2007, in...
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Emoji and Deep Learning
Dango - Your Emoji Assistant
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Boosting Sales with Machine Learning
How we use natural language processing to qualify leads
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Motion Stills – Create Looping GIFs from Live Photos
Posted by Ken Conley and Matthias Grundmann, Machine PerceptionToday we are releasing Motion Stills, an iOS app from Google Research that acts as a...
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