Categories machine learning

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#AndroidDevChallenge: today is the last day to apply!

Today is the last day to apply for the Android Developer Challenge! And to spark your imagination, we wanted to take a look at one of the original Android Developer Challenge winners, from over 10 years ago. Meet Maurizio Leo: Maurizio and team have been working on Android for a […]

Our panel of experts for the #AndroidDevChallenge (apply by Dec. 2)

Just a little over a week left to finish your submission for the Android Developer Challenge, due December 2! Technology is enabling us to create a whole new era of helpful innovation by helping people get things done more quickly and surfacing patterns that would be difficult to detect using […]

Android Developer Challenge: here’s what we’re looking for! (Apply by Dec. 2)

Last month, we kicked off the next Android Developer Challenge, and asked you to submit your ideas focused on helpful innovation, powered by on-device machine learning. But what exactly do we mean when we say helpful innovation? We’re glad you asked! We rounded up a few of Google’s on-device machine […]

Android Developer Challenge: helpful innovation, powered by On-Device Machine Learning + you!

Posted by The Android team Developers like you have always played an important role in shaping the direction of Android, fueling the wave of Android innovation. It’s the reason that when we first launched the SDK for Android 10+ years ago, we simultaneously announced the Android Developer Challenge: a way […]

Combating Potentially Harmful Applications with Machine Learning at Google: Datasets and Models

Posted by Mo Yu, Android Security & Privacy Team In a previous blog post, we talked about using machine learning to combat Potentially Harmful Applications (PHAs). This blog post covers how Google uses machine learning techniques to detect and classify PHAs. We’ll discuss the challenges in the PHA detection space, […]

Top cloud mining trends of 2018: altcoins, ASIC chips and machine learning

Despite the recent downward trends, the cryptocurrency boom goes on. The most popular coins, such as Bitcoin and Ethereum, are widely accepted as payment. As the number of miners in these cryptocurrencies’ networks increases, the competition grows – sending the hash calculations difficulty up. It’s not an easy time for […]

Machine Learning Could Help Identify Author of an Anonymous Code

Machine Learning Algorithm That De-anonymizes Programmers From Source Code And Binaries Researchers have found that machine learning can be used to help identify pieces of codes, binaries, and exploits written by anonymous programmers, according to Wired. In other words, machine learning can ‘de-anonymize’ programmers from source-code or binary form. The study […]